Tag Archives: matlab
Domain sketch for multiple variables function
How do I sketch the domain of the function f(x,y) =dfrac{sqrt(y-x^2)}{(1-x^2)}
How to sketch domain D f(x,y)<=0 on Oxy?
This is for my exercise so I really need some help. Thanks in advanced!How do I sketch the domain of the function f(x,y) =dfrac{sqrt(y-x^2)}{(1-x^2)}
How to sketch domain D f(x,y)<=0 on Oxy?
This is for my exercise so I really need some help. Thanks in advanced! How do I sketch the domain of the function f(x,y) =dfrac{sqrt(y-x^2)}{(1-x^2)}
How to sketch domain D f(x,y)<=0 on Oxy?
This is for my exercise so I really need some help. Thanks in advanced! domain, sketch MATLAB Answers — New Questions
Read in part of large histological (ndpi) file
I want to read in a very large histological image file (file size: 2.05 GB, *.ndpi file, pixel size: 57856 x 1.111e+05) and don’t have enough RAM.
I tried blockedImage and thought it would fit great but still, I am unable to get my data in highest resolution.
I tried:
% p,f are path and filename for the 2.05 GB *.ndpi file
A = blockedImage(strcat(p,f));
levelSizeInfo = table((1:length(A.Size))’, …
A.Size(:,1), …
A.Size(:,2), …
A.Size(:,1)./A.Size(:,2), …
‘VariableNames’,["Resolution Level" "Image Width" "Image Height" "Aspect Ratio"])
and obtained
levelSizeInfo =
9×4 table
Resolution Level Image Width Image Height Aspect Ratio
________________ ___________ ____________ ____________
1 57856 1.111e+05 0.52074
2 28928 55552 0.52074
3 14464 27776 0.52074
4 7232 13888 0.52074
5 3616 6944 0.52074
6 1808 3472 0.52074
7 904 1736 0.52074
8 407 1188 0.34259
9 203 594 0.34175
So I want to assess the resolution level 1 information and therefore tried to split it up in smaller patches:
bls = selectBlockLocations(A,"Levels",1,"BlockSize",[4096, 4096]);
bimds = blockedImageDatastore(A, "BlockLocationSet", bls);
However, I cannot assess these 4096 x 4096 blocks.
I tried to work with:
>> while hasdata(bimds)
[data, info] = read(bimds);
disp(info);
end
Error using images.blocked.TIFF/getIOBlock (line 139)
Out of memory.
But get the above error message. Is there any possibility that I read in my large image and split it up until my memory is sufficient and then assess the data? I don’t want to use lower resolution, since I am really interested in some specific histological information only reliable visible as highest resolution.
I would be also happy, when I would provide voxel coordinate start and end position and split it up manually such that it fits my RAM. I can do it in python but I would like to work with this dataset in Matlab as well.
Similar to this (which was not working either):
>> img = bigimage(strcat(p,f));
%Starting coordinates
coordStart = [250 250];
%Ending Coordinates
coordEnd = [750,750];
%Extract the region between the aforementioned coordinates
blk1 = getRegion(img,1,coordStart, coordEnd);
%Display the image
bigimageshow(bigimage(blk1))
Error using imread (line 440)
Unable to read TIFF file "SSES-1_MAX.ndpi". File is corrupt or image does not contain any readable strips.
Thanks in advance!I want to read in a very large histological image file (file size: 2.05 GB, *.ndpi file, pixel size: 57856 x 1.111e+05) and don’t have enough RAM.
I tried blockedImage and thought it would fit great but still, I am unable to get my data in highest resolution.
I tried:
% p,f are path and filename for the 2.05 GB *.ndpi file
A = blockedImage(strcat(p,f));
levelSizeInfo = table((1:length(A.Size))’, …
A.Size(:,1), …
A.Size(:,2), …
A.Size(:,1)./A.Size(:,2), …
‘VariableNames’,["Resolution Level" "Image Width" "Image Height" "Aspect Ratio"])
and obtained
levelSizeInfo =
9×4 table
Resolution Level Image Width Image Height Aspect Ratio
________________ ___________ ____________ ____________
1 57856 1.111e+05 0.52074
2 28928 55552 0.52074
3 14464 27776 0.52074
4 7232 13888 0.52074
5 3616 6944 0.52074
6 1808 3472 0.52074
7 904 1736 0.52074
8 407 1188 0.34259
9 203 594 0.34175
So I want to assess the resolution level 1 information and therefore tried to split it up in smaller patches:
bls = selectBlockLocations(A,"Levels",1,"BlockSize",[4096, 4096]);
bimds = blockedImageDatastore(A, "BlockLocationSet", bls);
However, I cannot assess these 4096 x 4096 blocks.
I tried to work with:
>> while hasdata(bimds)
[data, info] = read(bimds);
disp(info);
end
Error using images.blocked.TIFF/getIOBlock (line 139)
Out of memory.
But get the above error message. Is there any possibility that I read in my large image and split it up until my memory is sufficient and then assess the data? I don’t want to use lower resolution, since I am really interested in some specific histological information only reliable visible as highest resolution.
I would be also happy, when I would provide voxel coordinate start and end position and split it up manually such that it fits my RAM. I can do it in python but I would like to work with this dataset in Matlab as well.
Similar to this (which was not working either):
>> img = bigimage(strcat(p,f));
%Starting coordinates
coordStart = [250 250];
%Ending Coordinates
coordEnd = [750,750];
%Extract the region between the aforementioned coordinates
blk1 = getRegion(img,1,coordStart, coordEnd);
%Display the image
bigimageshow(bigimage(blk1))
Error using imread (line 440)
Unable to read TIFF file "SSES-1_MAX.ndpi". File is corrupt or image does not contain any readable strips.
Thanks in advance! I want to read in a very large histological image file (file size: 2.05 GB, *.ndpi file, pixel size: 57856 x 1.111e+05) and don’t have enough RAM.
I tried blockedImage and thought it would fit great but still, I am unable to get my data in highest resolution.
I tried:
% p,f are path and filename for the 2.05 GB *.ndpi file
A = blockedImage(strcat(p,f));
levelSizeInfo = table((1:length(A.Size))’, …
A.Size(:,1), …
A.Size(:,2), …
A.Size(:,1)./A.Size(:,2), …
‘VariableNames’,["Resolution Level" "Image Width" "Image Height" "Aspect Ratio"])
and obtained
levelSizeInfo =
9×4 table
Resolution Level Image Width Image Height Aspect Ratio
________________ ___________ ____________ ____________
1 57856 1.111e+05 0.52074
2 28928 55552 0.52074
3 14464 27776 0.52074
4 7232 13888 0.52074
5 3616 6944 0.52074
6 1808 3472 0.52074
7 904 1736 0.52074
8 407 1188 0.34259
9 203 594 0.34175
So I want to assess the resolution level 1 information and therefore tried to split it up in smaller patches:
bls = selectBlockLocations(A,"Levels",1,"BlockSize",[4096, 4096]);
bimds = blockedImageDatastore(A, "BlockLocationSet", bls);
However, I cannot assess these 4096 x 4096 blocks.
I tried to work with:
>> while hasdata(bimds)
[data, info] = read(bimds);
disp(info);
end
Error using images.blocked.TIFF/getIOBlock (line 139)
Out of memory.
But get the above error message. Is there any possibility that I read in my large image and split it up until my memory is sufficient and then assess the data? I don’t want to use lower resolution, since I am really interested in some specific histological information only reliable visible as highest resolution.
I would be also happy, when I would provide voxel coordinate start and end position and split it up manually such that it fits my RAM. I can do it in python but I would like to work with this dataset in Matlab as well.
Similar to this (which was not working either):
>> img = bigimage(strcat(p,f));
%Starting coordinates
coordStart = [250 250];
%Ending Coordinates
coordEnd = [750,750];
%Extract the region between the aforementioned coordinates
blk1 = getRegion(img,1,coordStart, coordEnd);
%Display the image
bigimageshow(bigimage(blk1))
Error using imread (line 440)
Unable to read TIFF file "SSES-1_MAX.ndpi". File is corrupt or image does not contain any readable strips.
Thanks in advance! histological data, ndpi, blockedimage MATLAB Answers — New Questions
why does this line of code give error- disp(“The density of ” + element … + “is” + density). When i press the ‘enter ‘ key after the 3 dots and rerun, it works.
if doPlot == 1
plot(density)
title("Sample Densities")
xticklabels(element)
ylabel("Density (g/cm^3)")
else
disp("The Density of " + element … + "is" + density)
endif doPlot == 1
plot(density)
title("Sample Densities")
xticklabels(element)
ylabel("Density (g/cm^3)")
else
disp("The Density of " + element … + "is" + density)
end if doPlot == 1
plot(density)
title("Sample Densities")
xticklabels(element)
ylabel("Density (g/cm^3)")
else
disp("The Density of " + element … + "is" + density)
end if statement MATLAB Answers — New Questions
Adding a second x-axis to each plot in a tiled layout / subplot
I am trying to add a second x-axis to each plot in a tiled layout. Using this tutorial, I was able to add a second x-axis to the first tile. However, as soon as I transition to the next tile, the previous plot disappears and I am just left with a single blank plot. Adding "hold on" to any line in the code didn’t help, neither did plotting the same data a second time. The same problem arises when using subplot().
I would greatly appreciate any help! My code looks like this (I only need the second axis in order to display different x-ticks w.r.t. to the same data, which is why I’m not adding any plots to the second axis):
% create tiledlayout
tiledlayout(2, 2)
nexttile
% plot toy example
hold on
plot(0:10, 0:10)
axis([0 10 0 10])
xticks([2 7])
% add second axis
ax1 = gca;
ax2 = axes(‘Position’, ax1.Position, ‘XAxisLocation’, ‘top’, ‘YAxisLocation’,’right’, ‘Color’,’none’);
axis([0 10 0 10])
xticks([1 8])
% after this line, the plot disappears
nexttileI am trying to add a second x-axis to each plot in a tiled layout. Using this tutorial, I was able to add a second x-axis to the first tile. However, as soon as I transition to the next tile, the previous plot disappears and I am just left with a single blank plot. Adding "hold on" to any line in the code didn’t help, neither did plotting the same data a second time. The same problem arises when using subplot().
I would greatly appreciate any help! My code looks like this (I only need the second axis in order to display different x-ticks w.r.t. to the same data, which is why I’m not adding any plots to the second axis):
% create tiledlayout
tiledlayout(2, 2)
nexttile
% plot toy example
hold on
plot(0:10, 0:10)
axis([0 10 0 10])
xticks([2 7])
% add second axis
ax1 = gca;
ax2 = axes(‘Position’, ax1.Position, ‘XAxisLocation’, ‘top’, ‘YAxisLocation’,’right’, ‘Color’,’none’);
axis([0 10 0 10])
xticks([1 8])
% after this line, the plot disappears
nexttile I am trying to add a second x-axis to each plot in a tiled layout. Using this tutorial, I was able to add a second x-axis to the first tile. However, as soon as I transition to the next tile, the previous plot disappears and I am just left with a single blank plot. Adding "hold on" to any line in the code didn’t help, neither did plotting the same data a second time. The same problem arises when using subplot().
I would greatly appreciate any help! My code looks like this (I only need the second axis in order to display different x-ticks w.r.t. to the same data, which is why I’m not adding any plots to the second axis):
% create tiledlayout
tiledlayout(2, 2)
nexttile
% plot toy example
hold on
plot(0:10, 0:10)
axis([0 10 0 10])
xticks([2 7])
% add second axis
ax1 = gca;
ax2 = axes(‘Position’, ax1.Position, ‘XAxisLocation’, ‘top’, ‘YAxisLocation’,’right’, ‘Color’,’none’);
axis([0 10 0 10])
xticks([1 8])
% after this line, the plot disappears
nexttile subplot, tiledlayout, axis MATLAB Answers — New Questions
Get the frequencies at specific value of amplitude
Hello everyone, I want to split the signal using the Gabor transform and then taking the values of frequency against the maximum value of amplitude within each window. Thank you for helping me.Hello everyone, I want to split the signal using the Gabor transform and then taking the values of frequency against the maximum value of amplitude within each window. Thank you for helping me. Hello everyone, I want to split the signal using the Gabor transform and then taking the values of frequency against the maximum value of amplitude within each window. Thank you for helping me. gabor, fft, frequency, psd, signal processing, signal MATLAB Answers — New Questions
Maybe a mistake in the documentation of function ”robgain”
Please refer to this documentation: robgain
as well as this system:
In the example "Robust Performance of Closed-Loop System", it says that "Create a model of the controller, and build the closed-loop sensitivity function, S. The sensitivity measures the closed-loop response at the plant output to a disturbance at the plant input."
The corresponding codes are:
k = ureal(‘k’,10,’Percent’,40);
delta = ultidyn(‘delta’,[1 1]);
G = tf(18,[1 1.8 k]) * (1 + 0.5*delta);
C = pid(2.3,3,0.38,0.001);
S = feedback(1,G*C);
tf(S)
However, when I refer to the documentation of feedback, it seems that the code feedback(1,G*C) actually refers to the closed-loop response at the plant input, instead of that at the plant output. I use the function connect to prove this:
G.InputName = ‘e2’;
G.OutputName = ‘y’;
C.InputName = ‘e1’;
C.OutputName = ‘u’;
S1 = sumblk("e1 = r – y");
S2 = sumblk("e2 = u + d");
inputs = {‘d’};
outputs = {‘e2’};
S = connect(G,C,S1,S2,inputs,outputs);
tf(S)
The preceding two results are the same, which prove my assumption.
To measure the closed-loop response at the plant output to a disturbance at the plant input, the codes should be:
S = feedback(G,C);
tf(S)
or in the "connect" version
G.InputName = ‘e2’;
G.OutputName = ‘y’;
C.InputName = ‘e1’;
C.OutputName = ‘u’;
S1 = sumblk("e1 = r – y");
S2 = sumblk("e2 = u + d");
inputs = {‘d’};
outputs = {‘y’};
S = connect(G,C,S1,S2,inputs,outputs);
tf(S)
Please check other documentatins which also use this sensitivity function.
Best regards.Please refer to this documentation: robgain
as well as this system:
In the example "Robust Performance of Closed-Loop System", it says that "Create a model of the controller, and build the closed-loop sensitivity function, S. The sensitivity measures the closed-loop response at the plant output to a disturbance at the plant input."
The corresponding codes are:
k = ureal(‘k’,10,’Percent’,40);
delta = ultidyn(‘delta’,[1 1]);
G = tf(18,[1 1.8 k]) * (1 + 0.5*delta);
C = pid(2.3,3,0.38,0.001);
S = feedback(1,G*C);
tf(S)
However, when I refer to the documentation of feedback, it seems that the code feedback(1,G*C) actually refers to the closed-loop response at the plant input, instead of that at the plant output. I use the function connect to prove this:
G.InputName = ‘e2’;
G.OutputName = ‘y’;
C.InputName = ‘e1’;
C.OutputName = ‘u’;
S1 = sumblk("e1 = r – y");
S2 = sumblk("e2 = u + d");
inputs = {‘d’};
outputs = {‘e2’};
S = connect(G,C,S1,S2,inputs,outputs);
tf(S)
The preceding two results are the same, which prove my assumption.
To measure the closed-loop response at the plant output to a disturbance at the plant input, the codes should be:
S = feedback(G,C);
tf(S)
or in the "connect" version
G.InputName = ‘e2’;
G.OutputName = ‘y’;
C.InputName = ‘e1’;
C.OutputName = ‘u’;
S1 = sumblk("e1 = r – y");
S2 = sumblk("e2 = u + d");
inputs = {‘d’};
outputs = {‘y’};
S = connect(G,C,S1,S2,inputs,outputs);
tf(S)
Please check other documentatins which also use this sensitivity function.
Best regards. Please refer to this documentation: robgain
as well as this system:
In the example "Robust Performance of Closed-Loop System", it says that "Create a model of the controller, and build the closed-loop sensitivity function, S. The sensitivity measures the closed-loop response at the plant output to a disturbance at the plant input."
The corresponding codes are:
k = ureal(‘k’,10,’Percent’,40);
delta = ultidyn(‘delta’,[1 1]);
G = tf(18,[1 1.8 k]) * (1 + 0.5*delta);
C = pid(2.3,3,0.38,0.001);
S = feedback(1,G*C);
tf(S)
However, when I refer to the documentation of feedback, it seems that the code feedback(1,G*C) actually refers to the closed-loop response at the plant input, instead of that at the plant output. I use the function connect to prove this:
G.InputName = ‘e2’;
G.OutputName = ‘y’;
C.InputName = ‘e1’;
C.OutputName = ‘u’;
S1 = sumblk("e1 = r – y");
S2 = sumblk("e2 = u + d");
inputs = {‘d’};
outputs = {‘e2’};
S = connect(G,C,S1,S2,inputs,outputs);
tf(S)
The preceding two results are the same, which prove my assumption.
To measure the closed-loop response at the plant output to a disturbance at the plant input, the codes should be:
S = feedback(G,C);
tf(S)
or in the "connect" version
G.InputName = ‘e2’;
G.OutputName = ‘y’;
C.InputName = ‘e1’;
C.OutputName = ‘u’;
S1 = sumblk("e1 = r – y");
S2 = sumblk("e2 = u + d");
inputs = {‘d’};
outputs = {‘y’};
S = connect(G,C,S1,S2,inputs,outputs);
tf(S)
Please check other documentatins which also use this sensitivity function.
Best regards. robust control toolbox, control, help, robgain MATLAB Answers — New Questions
creating a function to solve non linear equations using simple iteration method
Create a Matlab function named (solveIteration) for solving a non-linear equation using
(Simple iteration method) and takes the following inputs: g: function, x0 initial guess TolX as
Termination tolerance on the function value, a positive scalar (when to stop iteration) and
Maxiter as the max number of iterations if reached means the function has no solution
The function returns the following outputs : x as a root(s) of the equation ,error as error
message if the equation has no solutions
Function seems like below one:
function [x,error] = solveIteration(g,x0,TolX,MaxIter)
…
any hints ??Create a Matlab function named (solveIteration) for solving a non-linear equation using
(Simple iteration method) and takes the following inputs: g: function, x0 initial guess TolX as
Termination tolerance on the function value, a positive scalar (when to stop iteration) and
Maxiter as the max number of iterations if reached means the function has no solution
The function returns the following outputs : x as a root(s) of the equation ,error as error
message if the equation has no solutions
Function seems like below one:
function [x,error] = solveIteration(g,x0,TolX,MaxIter)
…
any hints ?? Create a Matlab function named (solveIteration) for solving a non-linear equation using
(Simple iteration method) and takes the following inputs: g: function, x0 initial guess TolX as
Termination tolerance on the function value, a positive scalar (when to stop iteration) and
Maxiter as the max number of iterations if reached means the function has no solution
The function returns the following outputs : x as a root(s) of the equation ,error as error
message if the equation has no solutions
Function seems like below one:
function [x,error] = solveIteration(g,x0,TolX,MaxIter)
…
any hints ?? numeric equation solving MATLAB Answers — New Questions
Boxplot for both x and y axis with different box widths.
How can we make a boxplot like the one below for both x and y data (the box widths of each group that are x-data related are different). I tried boxplot(X,Y, group) but it did not work.How can we make a boxplot like the one below for both x and y data (the box widths of each group that are x-data related are different). I tried boxplot(X,Y, group) but it did not work. How can we make a boxplot like the one below for both x and y data (the box widths of each group that are x-data related are different). I tried boxplot(X,Y, group) but it did not work. boxplot, different box width MATLAB Answers — New Questions
In R2024a, when searching for components using Chinese after double clicking on the Simulink interface, it will get stuck
This issue is causing me a lot of trouble when using Simulink, and I hope it can be resolved. There is no such issue in 2020b, and there is no such issue when searching in English in 2024a.This issue is causing me a lot of trouble when using Simulink, and I hope it can be resolved. There is no such issue in 2020b, and there is no such issue when searching in English in 2024a. This issue is causing me a lot of trouble when using Simulink, and I hope it can be resolved. There is no such issue in 2020b, and there is no such issue when searching in English in 2024a. r2024a, simulink, search MATLAB Answers — New Questions
Speeding up matrix expotentials by using GPU
Hey all:
I am trying to accelerate the speed of calculation of high dimisional matrix expotential by using GPU, but I find that the speed of calculating them on CPU is faster than GPU, and I can’t find where the problem is. The code is:
dev = gpuDevice();
CPU_time = 0;
GPU_time = 0;
for i = 1:10
CPU_matrix = rand(4096, 4096);
GPU_matrix = gpuArray(complex(CPU_matrix));
tic;
Exp_CPU = expm(-1i * CPU_matrix);
CPU_time = CPU_time + toc;
tic;
Exp_GPU = expm(-1i * GPU_matrix);
GPU_time = GPU_time + toc;
end
disp("CPU time:" + string(CPU_time));
disp("GPU time:" + string(GPU_time));
I tested this code using my computer, and its CPU configuration is: Intel(R) Core(TM) i7-10750H CPU @ 2.60GHz 2.59 GHz, RAM 16 GB. Its GPU configuration is: NVIDIA GeForce GTX 1650. The final result is:
CPU time:452.1338
GPU time:915.5892
Why the speed of GPU is slower than CPU?
ThanksHey all:
I am trying to accelerate the speed of calculation of high dimisional matrix expotential by using GPU, but I find that the speed of calculating them on CPU is faster than GPU, and I can’t find where the problem is. The code is:
dev = gpuDevice();
CPU_time = 0;
GPU_time = 0;
for i = 1:10
CPU_matrix = rand(4096, 4096);
GPU_matrix = gpuArray(complex(CPU_matrix));
tic;
Exp_CPU = expm(-1i * CPU_matrix);
CPU_time = CPU_time + toc;
tic;
Exp_GPU = expm(-1i * GPU_matrix);
GPU_time = GPU_time + toc;
end
disp("CPU time:" + string(CPU_time));
disp("GPU time:" + string(GPU_time));
I tested this code using my computer, and its CPU configuration is: Intel(R) Core(TM) i7-10750H CPU @ 2.60GHz 2.59 GHz, RAM 16 GB. Its GPU configuration is: NVIDIA GeForce GTX 1650. The final result is:
CPU time:452.1338
GPU time:915.5892
Why the speed of GPU is slower than CPU?
Thanks Hey all:
I am trying to accelerate the speed of calculation of high dimisional matrix expotential by using GPU, but I find that the speed of calculating them on CPU is faster than GPU, and I can’t find where the problem is. The code is:
dev = gpuDevice();
CPU_time = 0;
GPU_time = 0;
for i = 1:10
CPU_matrix = rand(4096, 4096);
GPU_matrix = gpuArray(complex(CPU_matrix));
tic;
Exp_CPU = expm(-1i * CPU_matrix);
CPU_time = CPU_time + toc;
tic;
Exp_GPU = expm(-1i * GPU_matrix);
GPU_time = GPU_time + toc;
end
disp("CPU time:" + string(CPU_time));
disp("GPU time:" + string(GPU_time));
I tested this code using my computer, and its CPU configuration is: Intel(R) Core(TM) i7-10750H CPU @ 2.60GHz 2.59 GHz, RAM 16 GB. Its GPU configuration is: NVIDIA GeForce GTX 1650. The final result is:
CPU time:452.1338
GPU time:915.5892
Why the speed of GPU is slower than CPU?
Thanks gpu, matrix, matlab, time, expotential MATLAB Answers — New Questions
How to calculate HF/LF from ECG data
Hi, I am university student and doing reseach regarding relaxation methods by deep breathing.
So, I’d like to know HF/LF from subject’s ECG data. However I can’t come up with MATLAB code to calculate it.
if you have any idea, please help me.
file type is ‘.txt’ (attached file)Hi, I am university student and doing reseach regarding relaxation methods by deep breathing.
So, I’d like to know HF/LF from subject’s ECG data. However I can’t come up with MATLAB code to calculate it.
if you have any idea, please help me.
file type is ‘.txt’ (attached file) Hi, I am university student and doing reseach regarding relaxation methods by deep breathing.
So, I’d like to know HF/LF from subject’s ECG data. However I can’t come up with MATLAB code to calculate it.
if you have any idea, please help me.
file type is ‘.txt’ (attached file) #hf/lf, #hrv, frequency analysis MATLAB Answers — New Questions
How to use stacked bar charts to draw multiple confidence intervals
How to use stacked bar charts to draw multiple confidence intervals as follows
My sample data is as follows: the point estimated coefficient is
coef = [-0.0186
0.0057
-0.0067
-0.0007
0
-0.0295
-0.0517
-0.0651
-0.0689
-0.0862
-0.0866
];
The lower bounds for the point estimated coefficient at 1%, 5%, 10%, 15% and 20% levels are
Lower_Bound = [
-0.061944 -0.051528 -0.04632 -0.042792 -0.040104
-0.04203 -0.03056 -0.024825 -0.02094 -0.01798
-0.05314 -0.04198 -0.0364 -0.03262 -0.02974
-0.044302 -0.033824 -0.028585 -0.025036 -0.022332
0 0 0 0 0
-0.07723 -0.06576 -0.060025 -0.05614 -0.05318
-0.103042 -0.090704 -0.084535 -0.080356 -0.077172
-0.121602 -0.108024 -0.101235 -0.096636 -0.093132
-0.132368 -0.117116 -0.10949 -0.104324 -0.100388
-0.152506 -0.136572 -0.128605 -0.123208 -0.119096
-0.183092 -0.159904 -0.14831 -0.140456 -0.134472
];
The upper bounds for the point estimated coefficient at 1%, 5%, 10%, 15% and 20% levels are
Upper_Bound = [0.024744 0.014328 0.00912 0.005592 0.002904
0.05343 0.04196 0.036225 0.03234 0.02938
0.03974 0.02858 0.023 0.01922 0.01634
0.042902 0.032424 0.027185 0.023636 0.020932
0 0 0 0 0
0.01823 0.00676 0.001025 -0.00286 -0.00582
-0.000358 -0.012696 -0.018865 -0.023044 -0.026228
-0.008598 -0.022176 -0.028965 -0.033564 -0.037068
-0.005432 -0.020684 -0.02831 -0.033476 -0.037412
-0.019894 -0.035828 -0.043795 -0.049192 -0.053304
0.009892 -0.013296 -0.02489 -0.032744 -0.038728
];How to use stacked bar charts to draw multiple confidence intervals as follows
My sample data is as follows: the point estimated coefficient is
coef = [-0.0186
0.0057
-0.0067
-0.0007
0
-0.0295
-0.0517
-0.0651
-0.0689
-0.0862
-0.0866
];
The lower bounds for the point estimated coefficient at 1%, 5%, 10%, 15% and 20% levels are
Lower_Bound = [
-0.061944 -0.051528 -0.04632 -0.042792 -0.040104
-0.04203 -0.03056 -0.024825 -0.02094 -0.01798
-0.05314 -0.04198 -0.0364 -0.03262 -0.02974
-0.044302 -0.033824 -0.028585 -0.025036 -0.022332
0 0 0 0 0
-0.07723 -0.06576 -0.060025 -0.05614 -0.05318
-0.103042 -0.090704 -0.084535 -0.080356 -0.077172
-0.121602 -0.108024 -0.101235 -0.096636 -0.093132
-0.132368 -0.117116 -0.10949 -0.104324 -0.100388
-0.152506 -0.136572 -0.128605 -0.123208 -0.119096
-0.183092 -0.159904 -0.14831 -0.140456 -0.134472
];
The upper bounds for the point estimated coefficient at 1%, 5%, 10%, 15% and 20% levels are
Upper_Bound = [0.024744 0.014328 0.00912 0.005592 0.002904
0.05343 0.04196 0.036225 0.03234 0.02938
0.03974 0.02858 0.023 0.01922 0.01634
0.042902 0.032424 0.027185 0.023636 0.020932
0 0 0 0 0
0.01823 0.00676 0.001025 -0.00286 -0.00582
-0.000358 -0.012696 -0.018865 -0.023044 -0.026228
-0.008598 -0.022176 -0.028965 -0.033564 -0.037068
-0.005432 -0.020684 -0.02831 -0.033476 -0.037412
-0.019894 -0.035828 -0.043795 -0.049192 -0.053304
0.009892 -0.013296 -0.02489 -0.032744 -0.038728
]; How to use stacked bar charts to draw multiple confidence intervals as follows
My sample data is as follows: the point estimated coefficient is
coef = [-0.0186
0.0057
-0.0067
-0.0007
0
-0.0295
-0.0517
-0.0651
-0.0689
-0.0862
-0.0866
];
The lower bounds for the point estimated coefficient at 1%, 5%, 10%, 15% and 20% levels are
Lower_Bound = [
-0.061944 -0.051528 -0.04632 -0.042792 -0.040104
-0.04203 -0.03056 -0.024825 -0.02094 -0.01798
-0.05314 -0.04198 -0.0364 -0.03262 -0.02974
-0.044302 -0.033824 -0.028585 -0.025036 -0.022332
0 0 0 0 0
-0.07723 -0.06576 -0.060025 -0.05614 -0.05318
-0.103042 -0.090704 -0.084535 -0.080356 -0.077172
-0.121602 -0.108024 -0.101235 -0.096636 -0.093132
-0.132368 -0.117116 -0.10949 -0.104324 -0.100388
-0.152506 -0.136572 -0.128605 -0.123208 -0.119096
-0.183092 -0.159904 -0.14831 -0.140456 -0.134472
];
The upper bounds for the point estimated coefficient at 1%, 5%, 10%, 15% and 20% levels are
Upper_Bound = [0.024744 0.014328 0.00912 0.005592 0.002904
0.05343 0.04196 0.036225 0.03234 0.02938
0.03974 0.02858 0.023 0.01922 0.01634
0.042902 0.032424 0.027185 0.023636 0.020932
0 0 0 0 0
0.01823 0.00676 0.001025 -0.00286 -0.00582
-0.000358 -0.012696 -0.018865 -0.023044 -0.026228
-0.008598 -0.022176 -0.028965 -0.033564 -0.037068
-0.005432 -0.020684 -0.02831 -0.033476 -0.037412
-0.019894 -0.035828 -0.043795 -0.049192 -0.053304
0.009892 -0.013296 -0.02489 -0.032744 -0.038728
]; stack, bar, baseline MATLAB Answers — New Questions
How to connect ESP8266 modeule to app designer via serial communication and wifi
I want to connect the ESP8266 wifi node mcu module to the application i designed in app designer via serial communication and also by wifi.I want to connect the ESP8266 wifi node mcu module to the application i designed in app designer via serial communication and also by wifi. I want to connect the ESP8266 wifi node mcu module to the application i designed in app designer via serial communication and also by wifi. esp8266 module, matlab, app MATLAB Answers — New Questions
Masking Subsystems Task 5 in Simulink Fundamentals course
Hello,
I did what the task asked. The result of it is same as the answer. I cannot move on the new task since the question says you cannot meet the requirements although I did. Could you help me please?Hello,
I did what the task asked. The result of it is same as the answer. I cannot move on the new task since the question says you cannot meet the requirements although I did. Could you help me please? Hello,
I did what the task asked. The result of it is same as the answer. I cannot move on the new task since the question says you cannot meet the requirements although I did. Could you help me please? simulink fundamentals, online course, self-paced, masking subsystems, disp() MATLAB Answers — New Questions
How to change the colorbar max and min number and correspond a certain color to the colormap ticks
My data’s max and min are 0.09 and 0. I want to
set the colorbar max and min value to 1 and -1 and
have green and red corresponds to the max and min values.
The colorbar ticks can be an interpolation from green to red with black at the middle.
Clim does not work because the green color corresponds to the data’s maximum instead of the colorbar limit’s maximum.
Please help…My data’s max and min are 0.09 and 0. I want to
set the colorbar max and min value to 1 and -1 and
have green and red corresponds to the max and min values.
The colorbar ticks can be an interpolation from green to red with black at the middle.
Clim does not work because the green color corresponds to the data’s maximum instead of the colorbar limit’s maximum.
Please help… My data’s max and min are 0.09 and 0. I want to
set the colorbar max and min value to 1 and -1 and
have green and red corresponds to the max and min values.
The colorbar ticks can be an interpolation from green to red with black at the middle.
Clim does not work because the green color corresponds to the data’s maximum instead of the colorbar limit’s maximum.
Please help… colorbar, color MATLAB Answers — New Questions
Error converting from Simulink.SimulationInput to double
%% Speed Array
Speed = zeros(1,5001);
len = numel(Speed);
q=0;
for s = 1:len
Speed(1,s) = q;
q = q + (1/(len-1));
end
Trq_inst = zeros(1,401);
len_trq = numel(Trq_inst);
Trq_ref =1;
for t = 1:(len_trq)
% simIn = zeros(1,401);
% simOutputs = zeros(1,401);
Trq_inst(1,t)= Trq_ref;
for i = 1:len
simIn(i) = Simulink.SimulationInput(‘fl_name’);
simIn(i) = setBlockParameter(simIn(i),’fl_name/Speed_sweep’,’Spd’,Speed(i));
end
simOutputs = sim(simIn);
for i = 1: len
Res1 = simOutputs(1,i).sldemo_absbrake_output{1}.Values.Res1.Data;
Res2= simOutputs(1,i).sldemo_absbrake_output{1}.Values.Res2.Data;
Struc = struct("Res1",Res1,"Res2",Res2);
fname = sprintf(‘Trq%d_Spd%d.mat’, Trq_ins(1,t)*400,5000*Speed(1,i));
save(fname,"Struc")
%save("trq_400.mat","Struc")
end
I am getting an error for the Simulink.SimulationInput converting to double.%% Speed Array
Speed = zeros(1,5001);
len = numel(Speed);
q=0;
for s = 1:len
Speed(1,s) = q;
q = q + (1/(len-1));
end
Trq_inst = zeros(1,401);
len_trq = numel(Trq_inst);
Trq_ref =1;
for t = 1:(len_trq)
% simIn = zeros(1,401);
% simOutputs = zeros(1,401);
Trq_inst(1,t)= Trq_ref;
for i = 1:len
simIn(i) = Simulink.SimulationInput(‘fl_name’);
simIn(i) = setBlockParameter(simIn(i),’fl_name/Speed_sweep’,’Spd’,Speed(i));
end
simOutputs = sim(simIn);
for i = 1: len
Res1 = simOutputs(1,i).sldemo_absbrake_output{1}.Values.Res1.Data;
Res2= simOutputs(1,i).sldemo_absbrake_output{1}.Values.Res2.Data;
Struc = struct("Res1",Res1,"Res2",Res2);
fname = sprintf(‘Trq%d_Spd%d.mat’, Trq_ins(1,t)*400,5000*Speed(1,i));
save(fname,"Struc")
%save("trq_400.mat","Struc")
end
I am getting an error for the Simulink.SimulationInput converting to double. %% Speed Array
Speed = zeros(1,5001);
len = numel(Speed);
q=0;
for s = 1:len
Speed(1,s) = q;
q = q + (1/(len-1));
end
Trq_inst = zeros(1,401);
len_trq = numel(Trq_inst);
Trq_ref =1;
for t = 1:(len_trq)
% simIn = zeros(1,401);
% simOutputs = zeros(1,401);
Trq_inst(1,t)= Trq_ref;
for i = 1:len
simIn(i) = Simulink.SimulationInput(‘fl_name’);
simIn(i) = setBlockParameter(simIn(i),’fl_name/Speed_sweep’,’Spd’,Speed(i));
end
simOutputs = sim(simIn);
for i = 1: len
Res1 = simOutputs(1,i).sldemo_absbrake_output{1}.Values.Res1.Data;
Res2= simOutputs(1,i).sldemo_absbrake_output{1}.Values.Res2.Data;
Struc = struct("Res1",Res1,"Res2",Res2);
fname = sprintf(‘Trq%d_Spd%d.mat’, Trq_ins(1,t)*400,5000*Speed(1,i));
save(fname,"Struc")
%save("trq_400.mat","Struc")
end
I am getting an error for the Simulink.SimulationInput converting to double. simulink.simulationinput, double MATLAB Answers — New Questions
double labels on x axis on a tiledlayout plot
Hi,
I would like to have two series of label on a tile in a tileled layout plot.
One axis would indicate time and another would indicate position.
How can I achive that?Hi,
I would like to have two series of label on a tile in a tileled layout plot.
One axis would indicate time and another would indicate position.
How can I achive that? Hi,
I would like to have two series of label on a tile in a tileled layout plot.
One axis would indicate time and another would indicate position.
How can I achive that? tilledlayout, double lables MATLAB Answers — New Questions
WHY my matlab has encountered an internal problem and need to close when i open it??
These are Details:
————————————————————————
Assertion detected at Mon Oct 03 18:40:57 2016
————————————————————————
Configuration:
Crash Decoding : Disabled – No sandbox or build area path
Crash Mode : continue (default)
Current Graphics Driver: Unknown hardware
Default Encoding : GBK
Deployed : false
Graphics card 1 : Intel Corporation ( 0x8086 ) Intel(R) HD Graphics 520 Version 20.19.15.4444
Host Name : LAPTOP-VNORS65E
Java Crash Report : C:UsersFreiqAppDataLocalTemphs_error_pid8216.log
MATLAB Architecture : win64
MATLAB Entitlement ID: 1921891
MATLAB Root : C:Program FilesMATLABR2016b
MATLAB Version : 9.1.0.441655 (R2016b)
OpenGL : hardware
Operating System : Microsoft Windows 10
Processor ID : x86 Family 6 Model 78 Stepping 3, GenuineIntel
Virtual Machine : Java 1.7.0_60-b19 with Oracle Corporation Java HotSpot(TM) 64-Bit Server VM mixed mode
Window System : Version 10.0 (Build 14393)
Fault Count: 1
Assertion in void __cdecl `anonymous-namespace’::mwJavaAbort(void) at b:matlabsrcjmijmijavainit.cpp line 1418:
Fatal Java Exception. See Java Crash Report for details.
Register State (captured):
RAX = 000000001082f2e8 RBX = 000000001082f2e8
RCX = 000000014802bea0 RDX = 0000000000000000
RSP = 000000014802be20 RBP = 000000001dc893b0
RSI = 000000001082f2e8 RDI = 0000000000000000
R8 = 0000000000000000 R9 = 00007ffaafef0000
R10 = 000000001081f317 R11 = 000000001081f317
R12 = 000000001dc893b0 R13 = 000000014802c4e0
R14 = 000000001081f218 R15 = 000000001082f268
RIP = 000000001065971a EFL = 00000202
CS = 0033 FS = 0053 GS = 002b
Stack Trace (captured):
[ 0] 0x0000000010654153 C:Program FilesMATLABR2016bbinwin64libmwfl.dll+00082259
[ 1] 0x0000000010652a68 C:Program FilesMATLABR2016bbinwin64libmwfl.dll+00076392
[ 2] 0x0000000010655b2a C:Program FilesMATLABR2016bbinwin64libmwfl.dll+00088874
[ 3] 0x0000000010655377 C:Program FilesMATLABR2016bbinwin64libmwfl.dll+00086903
[ 4] 0x0000000010659168 C:Program FilesMATLABR2016bbinwin64libmwfl.dll+00102760
[ 5] 0x000000001dc28c27 C:Program FilesMATLABR2016bbinwin64jmi.dll+00691239
[ 6] 0x0000000067c77b6d C:Program FilesMATLABR2016bsysjavajrewin64jrebinserverjvm.dll+02390893
[ 7] 0x0000000067c60ad8 C:Program FilesMATLABR2016bsysjavajrewin64jrebinserverjvm.dll+02296536
[ 8] 0x0000000067c788e6 C:Program FilesMATLABR2016bsysjavajrewin64jrebinserverjvm.dll+02394342
[ 9] 0x0000000067c7c2d8 C:Program FilesMATLABR2016bsysjavajrewin64jrebinserverjvm.dll+02409176
[ 10] 0x0000000067d13a48 C:Program FilesMATLABR2016bsysjavajrewin64jrebinserverjvm.dll+03029576
[ 11] 0x00007ffadf92991d C:WINDOWSSYSTEM32ntdll.dll+00694557
[ 12] 0x00007ffadf8c86d3 C:WINDOWSSYSTEM32ntdll.dll+00296659
[ 13] 0x00007ffadf928a3a C:WINDOWSSYSTEM32ntdll.dll+00690746
[ 14] 0x00007ffad581025c C:WINDOWSSYSTEM32chtbrkg.dll+00131676
[ 15] 0x00007ffadd72bf21 C:WINDOWSSystem32WS2_32.dll+00048929
[ 16] 0x0000000067703bbe C:Program FilesMATLABR2016bsysjavajrewin64jrebinnio.dll+00015294
[ 17] 0x00000000436c3150 <unknown-module>+00000000These are Details:
————————————————————————
Assertion detected at Mon Oct 03 18:40:57 2016
————————————————————————
Configuration:
Crash Decoding : Disabled – No sandbox or build area path
Crash Mode : continue (default)
Current Graphics Driver: Unknown hardware
Default Encoding : GBK
Deployed : false
Graphics card 1 : Intel Corporation ( 0x8086 ) Intel(R) HD Graphics 520 Version 20.19.15.4444
Host Name : LAPTOP-VNORS65E
Java Crash Report : C:UsersFreiqAppDataLocalTemphs_error_pid8216.log
MATLAB Architecture : win64
MATLAB Entitlement ID: 1921891
MATLAB Root : C:Program FilesMATLABR2016b
MATLAB Version : 9.1.0.441655 (R2016b)
OpenGL : hardware
Operating System : Microsoft Windows 10
Processor ID : x86 Family 6 Model 78 Stepping 3, GenuineIntel
Virtual Machine : Java 1.7.0_60-b19 with Oracle Corporation Java HotSpot(TM) 64-Bit Server VM mixed mode
Window System : Version 10.0 (Build 14393)
Fault Count: 1
Assertion in void __cdecl `anonymous-namespace’::mwJavaAbort(void) at b:matlabsrcjmijmijavainit.cpp line 1418:
Fatal Java Exception. See Java Crash Report for details.
Register State (captured):
RAX = 000000001082f2e8 RBX = 000000001082f2e8
RCX = 000000014802bea0 RDX = 0000000000000000
RSP = 000000014802be20 RBP = 000000001dc893b0
RSI = 000000001082f2e8 RDI = 0000000000000000
R8 = 0000000000000000 R9 = 00007ffaafef0000
R10 = 000000001081f317 R11 = 000000001081f317
R12 = 000000001dc893b0 R13 = 000000014802c4e0
R14 = 000000001081f218 R15 = 000000001082f268
RIP = 000000001065971a EFL = 00000202
CS = 0033 FS = 0053 GS = 002b
Stack Trace (captured):
[ 0] 0x0000000010654153 C:Program FilesMATLABR2016bbinwin64libmwfl.dll+00082259
[ 1] 0x0000000010652a68 C:Program FilesMATLABR2016bbinwin64libmwfl.dll+00076392
[ 2] 0x0000000010655b2a C:Program FilesMATLABR2016bbinwin64libmwfl.dll+00088874
[ 3] 0x0000000010655377 C:Program FilesMATLABR2016bbinwin64libmwfl.dll+00086903
[ 4] 0x0000000010659168 C:Program FilesMATLABR2016bbinwin64libmwfl.dll+00102760
[ 5] 0x000000001dc28c27 C:Program FilesMATLABR2016bbinwin64jmi.dll+00691239
[ 6] 0x0000000067c77b6d C:Program FilesMATLABR2016bsysjavajrewin64jrebinserverjvm.dll+02390893
[ 7] 0x0000000067c60ad8 C:Program FilesMATLABR2016bsysjavajrewin64jrebinserverjvm.dll+02296536
[ 8] 0x0000000067c788e6 C:Program FilesMATLABR2016bsysjavajrewin64jrebinserverjvm.dll+02394342
[ 9] 0x0000000067c7c2d8 C:Program FilesMATLABR2016bsysjavajrewin64jrebinserverjvm.dll+02409176
[ 10] 0x0000000067d13a48 C:Program FilesMATLABR2016bsysjavajrewin64jrebinserverjvm.dll+03029576
[ 11] 0x00007ffadf92991d C:WINDOWSSYSTEM32ntdll.dll+00694557
[ 12] 0x00007ffadf8c86d3 C:WINDOWSSYSTEM32ntdll.dll+00296659
[ 13] 0x00007ffadf928a3a C:WINDOWSSYSTEM32ntdll.dll+00690746
[ 14] 0x00007ffad581025c C:WINDOWSSYSTEM32chtbrkg.dll+00131676
[ 15] 0x00007ffadd72bf21 C:WINDOWSSystem32WS2_32.dll+00048929
[ 16] 0x0000000067703bbe C:Program FilesMATLABR2016bsysjavajrewin64jrebinnio.dll+00015294
[ 17] 0x00000000436c3150 <unknown-module>+00000000 These are Details:
————————————————————————
Assertion detected at Mon Oct 03 18:40:57 2016
————————————————————————
Configuration:
Crash Decoding : Disabled – No sandbox or build area path
Crash Mode : continue (default)
Current Graphics Driver: Unknown hardware
Default Encoding : GBK
Deployed : false
Graphics card 1 : Intel Corporation ( 0x8086 ) Intel(R) HD Graphics 520 Version 20.19.15.4444
Host Name : LAPTOP-VNORS65E
Java Crash Report : C:UsersFreiqAppDataLocalTemphs_error_pid8216.log
MATLAB Architecture : win64
MATLAB Entitlement ID: 1921891
MATLAB Root : C:Program FilesMATLABR2016b
MATLAB Version : 9.1.0.441655 (R2016b)
OpenGL : hardware
Operating System : Microsoft Windows 10
Processor ID : x86 Family 6 Model 78 Stepping 3, GenuineIntel
Virtual Machine : Java 1.7.0_60-b19 with Oracle Corporation Java HotSpot(TM) 64-Bit Server VM mixed mode
Window System : Version 10.0 (Build 14393)
Fault Count: 1
Assertion in void __cdecl `anonymous-namespace’::mwJavaAbort(void) at b:matlabsrcjmijmijavainit.cpp line 1418:
Fatal Java Exception. See Java Crash Report for details.
Register State (captured):
RAX = 000000001082f2e8 RBX = 000000001082f2e8
RCX = 000000014802bea0 RDX = 0000000000000000
RSP = 000000014802be20 RBP = 000000001dc893b0
RSI = 000000001082f2e8 RDI = 0000000000000000
R8 = 0000000000000000 R9 = 00007ffaafef0000
R10 = 000000001081f317 R11 = 000000001081f317
R12 = 000000001dc893b0 R13 = 000000014802c4e0
R14 = 000000001081f218 R15 = 000000001082f268
RIP = 000000001065971a EFL = 00000202
CS = 0033 FS = 0053 GS = 002b
Stack Trace (captured):
[ 0] 0x0000000010654153 C:Program FilesMATLABR2016bbinwin64libmwfl.dll+00082259
[ 1] 0x0000000010652a68 C:Program FilesMATLABR2016bbinwin64libmwfl.dll+00076392
[ 2] 0x0000000010655b2a C:Program FilesMATLABR2016bbinwin64libmwfl.dll+00088874
[ 3] 0x0000000010655377 C:Program FilesMATLABR2016bbinwin64libmwfl.dll+00086903
[ 4] 0x0000000010659168 C:Program FilesMATLABR2016bbinwin64libmwfl.dll+00102760
[ 5] 0x000000001dc28c27 C:Program FilesMATLABR2016bbinwin64jmi.dll+00691239
[ 6] 0x0000000067c77b6d C:Program FilesMATLABR2016bsysjavajrewin64jrebinserverjvm.dll+02390893
[ 7] 0x0000000067c60ad8 C:Program FilesMATLABR2016bsysjavajrewin64jrebinserverjvm.dll+02296536
[ 8] 0x0000000067c788e6 C:Program FilesMATLABR2016bsysjavajrewin64jrebinserverjvm.dll+02394342
[ 9] 0x0000000067c7c2d8 C:Program FilesMATLABR2016bsysjavajrewin64jrebinserverjvm.dll+02409176
[ 10] 0x0000000067d13a48 C:Program FilesMATLABR2016bsysjavajrewin64jrebinserverjvm.dll+03029576
[ 11] 0x00007ffadf92991d C:WINDOWSSYSTEM32ntdll.dll+00694557
[ 12] 0x00007ffadf8c86d3 C:WINDOWSSYSTEM32ntdll.dll+00296659
[ 13] 0x00007ffadf928a3a C:WINDOWSSYSTEM32ntdll.dll+00690746
[ 14] 0x00007ffad581025c C:WINDOWSSYSTEM32chtbrkg.dll+00131676
[ 15] 0x00007ffadd72bf21 C:WINDOWSSystem32WS2_32.dll+00048929
[ 16] 0x0000000067703bbe C:Program FilesMATLABR2016bsysjavajrewin64jrebinnio.dll+00015294
[ 17] 0x00000000436c3150 <unknown-module>+00000000 encountering problems when opening MATLAB Answers — New Questions
How to compute response to single node impulse in structural model from modal eigenvectors directly
According to https://www.mathworks.com/matlabcentral/answers/1968759-scaled-mode-shapes-in-modal-analysis-of-a-simulated-system-and-a-wind-turbine-blade?s_tid=ta_ans_results , in a modal analysis, for each mode shape vector, the component with the largest absolute value is scaled to 1, and the rest of the components in the vector are scaled accordingly for ease of visual comparison of the shapes. I have a structural model (femodel(AnalysisType="structuralModal")with displacement vector results u=[u_x, u_y,u_z ] for various frequencies. I would like to compute the amplitudes of all of the frequencies (found in a limited range of course) for a unit impact vector n ( a delta function in time) at any node directly from the components of u and think it is something like just the inner product of n with u at that node were u not arbitrarily normalized, and by that I take the answer to mean there is one scale factor for the entire u for any node. I’d like to do that for two cases: 1) any node/mass element within the volume as if it were struck by a dark matter particle (assuming assumptons of elastic continuum mechanics remain valid) and 2) for any surface node as if it were struck by a BB or similar – I mean the impulse could have normal and traction components. Perhaps this is just what a transient analysis does . I don’t want to perform a transient analysis as found in examples like the tuning fork for every node and go some analysis of the resulting motions to derive what I’m after, just compute the amplitudes of the normal modes. ANy way to do this?According to https://www.mathworks.com/matlabcentral/answers/1968759-scaled-mode-shapes-in-modal-analysis-of-a-simulated-system-and-a-wind-turbine-blade?s_tid=ta_ans_results , in a modal analysis, for each mode shape vector, the component with the largest absolute value is scaled to 1, and the rest of the components in the vector are scaled accordingly for ease of visual comparison of the shapes. I have a structural model (femodel(AnalysisType="structuralModal")with displacement vector results u=[u_x, u_y,u_z ] for various frequencies. I would like to compute the amplitudes of all of the frequencies (found in a limited range of course) for a unit impact vector n ( a delta function in time) at any node directly from the components of u and think it is something like just the inner product of n with u at that node were u not arbitrarily normalized, and by that I take the answer to mean there is one scale factor for the entire u for any node. I’d like to do that for two cases: 1) any node/mass element within the volume as if it were struck by a dark matter particle (assuming assumptons of elastic continuum mechanics remain valid) and 2) for any surface node as if it were struck by a BB or similar – I mean the impulse could have normal and traction components. Perhaps this is just what a transient analysis does . I don’t want to perform a transient analysis as found in examples like the tuning fork for every node and go some analysis of the resulting motions to derive what I’m after, just compute the amplitudes of the normal modes. ANy way to do this? According to https://www.mathworks.com/matlabcentral/answers/1968759-scaled-mode-shapes-in-modal-analysis-of-a-simulated-system-and-a-wind-turbine-blade?s_tid=ta_ans_results , in a modal analysis, for each mode shape vector, the component with the largest absolute value is scaled to 1, and the rest of the components in the vector are scaled accordingly for ease of visual comparison of the shapes. I have a structural model (femodel(AnalysisType="structuralModal")with displacement vector results u=[u_x, u_y,u_z ] for various frequencies. I would like to compute the amplitudes of all of the frequencies (found in a limited range of course) for a unit impact vector n ( a delta function in time) at any node directly from the components of u and think it is something like just the inner product of n with u at that node were u not arbitrarily normalized, and by that I take the answer to mean there is one scale factor for the entire u for any node. I’d like to do that for two cases: 1) any node/mass element within the volume as if it were struck by a dark matter particle (assuming assumptons of elastic continuum mechanics remain valid) and 2) for any surface node as if it were struck by a BB or similar – I mean the impulse could have normal and traction components. Perhaps this is just what a transient analysis does . I don’t want to perform a transient analysis as found in examples like the tuning fork for every node and go some analysis of the resulting motions to derive what I’m after, just compute the amplitudes of the normal modes. ANy way to do this? modal, analysis, normalization, transient, structural analysis MATLAB Answers — New Questions
Appreciate help with satellite MarkSize and MarkerColor … seems ridiculous to have to ask but I can not waste another hour trying.
Hello. Ihave read the help and tried several variations of the below. MarkerSize and MarkerColor are both properties in the satellite funciton (witing the satelliteScenario). I have tries many variations.. ‘MarkerSize’, 10 // MarkerSize=10 // "MarkerColor", "m", etc… One exmaple is below. I keep getting errors that neither MarkerSize nor MarkerColor are recognized parameters. May be missing something dumb, but have spent an absurb amount of time trying to change colors. It does NOT seem like the help can be right (aside – really seems like the error messages and help could be smarted at this point… pretty obvious after 20 tries what I am trying to do). Apreciate any help.
OneWeb_Sats= satellite(OneWeb,"OneWeb_TLEs_20240817_242d.tle", ‘MarkerColor’,"magenta", ‘MarkerSize’, 10)
Error using parseParameterInputsML (line 118)
‘MarkerColor’ is not a recognized parameter. For a list of valid name-value pair arguments, see the documentation for this function.
Error in coder.internal.parseParameterInputs (line 91)
pstruct = parseParameterInputsML({},parms,options,varargin);
Error in satelliteScenario/satelliteHello. Ihave read the help and tried several variations of the below. MarkerSize and MarkerColor are both properties in the satellite funciton (witing the satelliteScenario). I have tries many variations.. ‘MarkerSize’, 10 // MarkerSize=10 // "MarkerColor", "m", etc… One exmaple is below. I keep getting errors that neither MarkerSize nor MarkerColor are recognized parameters. May be missing something dumb, but have spent an absurb amount of time trying to change colors. It does NOT seem like the help can be right (aside – really seems like the error messages and help could be smarted at this point… pretty obvious after 20 tries what I am trying to do). Apreciate any help.
OneWeb_Sats= satellite(OneWeb,"OneWeb_TLEs_20240817_242d.tle", ‘MarkerColor’,"magenta", ‘MarkerSize’, 10)
Error using parseParameterInputsML (line 118)
‘MarkerColor’ is not a recognized parameter. For a list of valid name-value pair arguments, see the documentation for this function.
Error in coder.internal.parseParameterInputs (line 91)
pstruct = parseParameterInputsML({},parms,options,varargin);
Error in satelliteScenario/satellite Hello. Ihave read the help and tried several variations of the below. MarkerSize and MarkerColor are both properties in the satellite funciton (witing the satelliteScenario). I have tries many variations.. ‘MarkerSize’, 10 // MarkerSize=10 // "MarkerColor", "m", etc… One exmaple is below. I keep getting errors that neither MarkerSize nor MarkerColor are recognized parameters. May be missing something dumb, but have spent an absurb amount of time trying to change colors. It does NOT seem like the help can be right (aside – really seems like the error messages and help could be smarted at this point… pretty obvious after 20 tries what I am trying to do). Apreciate any help.
OneWeb_Sats= satellite(OneWeb,"OneWeb_TLEs_20240817_242d.tle", ‘MarkerColor’,"magenta", ‘MarkerSize’, 10)
Error using parseParameterInputsML (line 118)
‘MarkerColor’ is not a recognized parameter. For a list of valid name-value pair arguments, see the documentation for this function.
Error in coder.internal.parseParameterInputs (line 91)
pstruct = parseParameterInputsML({},parms,options,varargin);
Error in satelliteScenario/satellite satellite properties, satellite MATLAB Answers — New Questions
