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

​

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

​

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

​

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

​

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 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

​

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

​

%% 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

​

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

​

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

​