Hi,
I have a GUI in Matlab and several functions in it. One function is for plotting a figure, I need to assign it to an existing axes in GUI. I have tried several options, nothing has worked out yet.

Code below is the current option I had tried before I asked here.

set(‘CurrentAxes’,’axes11′)
plot(VyQRS(:,2));
grid on

The plot of VyQRS I need to assign to axes11.
Could you please give me any hint?Hi,
I have a GUI in Matlab and several functions in it. One function is for plotting a figure, I need to assign it to an existing axes in GUI. I have tried several options, nothing has worked out yet.

Code below is the current option I had tried before I asked here.

set(‘CurrentAxes’,’axes11′)
plot(VyQRS(:,2));
grid on

The plot of VyQRS I need to assign to axes11.
Could you please give me any hint? Hi,
I have a GUI in Matlab and several functions in it. One function is for plotting a figure, I need to assign it to an existing axes in GUI. I have tried several options, nothing has worked out yet.

Code below is the current option I had tried before I asked here.

set(‘CurrentAxes’,’axes11′)
plot(VyQRS(:,2));
grid on

The plot of VyQRS I need to assign to axes11.
Could you please give me any hint? matlab gui, plotting, guide MATLAB Answers — New Questions

​

I have a question about a strange phenomenon I have been noticing for some time whilst working with Matlab and which has now become somewhat acute.
When I run scripts which are relatively demanding on my computer, pausing and immediately unpausing the execution weirdly appears to speed up the execution of the rest of the script.
The current example is this:
I am running a simulation model, which is essentially just one big loop representing simulation periods . Within this loop there is another loop which is entered only under a certain condition. If this second loop is entered in some simulation period t, the simualtion of this particular period naturally takes longer than that of the other ones as more operations are executed.
Essentially the programm looks like this:
for t=1:T
do stuff
if condition holds
for tt=1:TT
do more stuff
end
end
end

The problem I have is the following: After the second, inner loop is entered, all following simulation periods take longer to execute, even when the condition does not hold. I have gone into debug mode and can 100% confirm that the second loop is not entered in other simulation periods. Nevertheless those periods take longer to execute after the second loop has been entered once in a previous period.
Additionally, if i pause the execution of the script manually after the second loop has been entered and exited again and then continue, the script speeds back up and the rest of the periods are simulated at the usual speed. More generally, I often find that if a script runs slowly I can speed it up significantly by pausing and unpausing.
Does anyone know what might be causing this?

PS: After some additonal experimentation it seems that this phenomenon only occurs if I click the pause button in the GUI, i.e. if I enter debug mode and then pess continue. Simply inserting pause(n) under some condition into the script does not cause this change in execution speeds.I have a question about a strange phenomenon I have been noticing for some time whilst working with Matlab and which has now become somewhat acute.
When I run scripts which are relatively demanding on my computer, pausing and immediately unpausing the execution weirdly appears to speed up the execution of the rest of the script.
The current example is this:
I am running a simulation model, which is essentially just one big loop representing simulation periods . Within this loop there is another loop which is entered only under a certain condition. If this second loop is entered in some simulation period t, the simualtion of this particular period naturally takes longer than that of the other ones as more operations are executed.
Essentially the programm looks like this:
for t=1:T
do stuff
if condition holds
for tt=1:TT
do more stuff
end
end
end

The problem I have is the following: After the second, inner loop is entered, all following simulation periods take longer to execute, even when the condition does not hold. I have gone into debug mode and can 100% confirm that the second loop is not entered in other simulation periods. Nevertheless those periods take longer to execute after the second loop has been entered once in a previous period.
Additionally, if i pause the execution of the script manually after the second loop has been entered and exited again and then continue, the script speeds back up and the rest of the periods are simulated at the usual speed. More generally, I often find that if a script runs slowly I can speed it up significantly by pausing and unpausing.
Does anyone know what might be causing this?

PS: After some additonal experimentation it seems that this phenomenon only occurs if I click the pause button in the GUI, i.e. if I enter debug mode and then pess continue. Simply inserting pause(n) under some condition into the script does not cause this change in execution speeds. I have a question about a strange phenomenon I have been noticing for some time whilst working with Matlab and which has now become somewhat acute.
When I run scripts which are relatively demanding on my computer, pausing and immediately unpausing the execution weirdly appears to speed up the execution of the rest of the script.
The current example is this:
I am running a simulation model, which is essentially just one big loop representing simulation periods . Within this loop there is another loop which is entered only under a certain condition. If this second loop is entered in some simulation period t, the simualtion of this particular period naturally takes longer than that of the other ones as more operations are executed.
Essentially the programm looks like this:
for t=1:T
do stuff
if condition holds
for tt=1:TT
do more stuff
end
end
end

The problem I have is the following: After the second, inner loop is entered, all following simulation periods take longer to execute, even when the condition does not hold. I have gone into debug mode and can 100% confirm that the second loop is not entered in other simulation periods. Nevertheless those periods take longer to execute after the second loop has been entered once in a previous period.
Additionally, if i pause the execution of the script manually after the second loop has been entered and exited again and then continue, the script speeds back up and the rest of the periods are simulated at the usual speed. More generally, I often find that if a script runs slowly I can speed it up significantly by pausing and unpausing.
Does anyone know what might be causing this?

PS: After some additonal experimentation it seems that this phenomenon only occurs if I click the pause button in the GUI, i.e. if I enter debug mode and then pess continue. Simply inserting pause(n) under some condition into the script does not cause this change in execution speeds. execution time, pause, loops MATLAB Answers — New Questions

​

If i test the buck converter model alone i get a smooth current and voltage signal,
but when i add the battery and the control logic, the current signal has a very high peak to peak amplitude.
Do you know why us this behavior??

Thanks.If i test the buck converter model alone i get a smooth current and voltage signal,
but when i add the battery and the control logic, the current signal has a very high peak to peak amplitude.
Do you know why us this behavior??

Thanks. If i test the buck converter model alone i get a smooth current and voltage signal,
but when i add the battery and the control logic, the current signal has a very high peak to peak amplitude.
Do you know why us this behavior??

Thanks. li-ion, battery charger, buck converter, solar energy, current ripple, power_electronics_control, battery_system_management MATLAB Answers — New Questions

​

I am trying to figure out pdepe and how to use it to solve a higher order equation written as multiple second order equations. Even though I am trying to solve a more complex equation in the future I want to start with a simple case
.
My idea is to rewrite it by including a second variable

where
.
I chose the spatial coordinate to range from x=linsapce(0,2*pi,N) to ensure that my initial conditions satisfy my boundary conditions (see below).
In pdepe terms I wrote
function [c,f,s] = pdex1pde(x,t,u,dudx)
global D
c = [1 ; 0];
f = [D*dudx(2); dudx(1)];
s = [0; -u(2)]; %where q=u(2);
end
and providing some initial condition (from 0 to 2pi)
function u0 = pdex1ic(x)
init = 1-cos(x);
d2init_dx2 = cos(x);

u0 = [init; d2init_dx2]
end
For the boundary conditions I just used a Neumann boundary for each boundary
function [pl,ql,pr,qr] = pdex1bc(xl,ul,xr,ur,t)
pl = [0;0];
ql = [1;1];
pr = [0;0];
qr = [1;1];
end

Now pdepe gives me a warning that it could not converge at time t=0 and I don’t get a result.
Is there something that I am missing?
I had a look at other questions about this topic and already stumbled upon this github page (https://github.com/wgreene310/pdepe-examples), but I don’t really understand it without the written equations.
Thank you very much for answering.I am trying to figure out pdepe and how to use it to solve a higher order equation written as multiple second order equations. Even though I am trying to solve a more complex equation in the future I want to start with a simple case
.
My idea is to rewrite it by including a second variable

where
.
I chose the spatial coordinate to range from x=linsapce(0,2*pi,N) to ensure that my initial conditions satisfy my boundary conditions (see below).
In pdepe terms I wrote
function [c,f,s] = pdex1pde(x,t,u,dudx)
global D
c = [1 ; 0];
f = [D*dudx(2); dudx(1)];
s = [0; -u(2)]; %where q=u(2);
end
and providing some initial condition (from 0 to 2pi)
function u0 = pdex1ic(x)
init = 1-cos(x);
d2init_dx2 = cos(x);

u0 = [init; d2init_dx2]
end
For the boundary conditions I just used a Neumann boundary for each boundary
function [pl,ql,pr,qr] = pdex1bc(xl,ul,xr,ur,t)
pl = [0;0];
ql = [1;1];
pr = [0;0];
qr = [1;1];
end

Now pdepe gives me a warning that it could not converge at time t=0 and I don’t get a result.
Is there something that I am missing?
I had a look at other questions about this topic and already stumbled upon this github page (https://github.com/wgreene310/pdepe-examples), but I don’t really understand it without the written equations.
Thank you very much for answering. I am trying to figure out pdepe and how to use it to solve a higher order equation written as multiple second order equations. Even though I am trying to solve a more complex equation in the future I want to start with a simple case
.
My idea is to rewrite it by including a second variable

where
.
I chose the spatial coordinate to range from x=linsapce(0,2*pi,N) to ensure that my initial conditions satisfy my boundary conditions (see below).
In pdepe terms I wrote
function [c,f,s] = pdex1pde(x,t,u,dudx)
global D
c = [1 ; 0];
f = [D*dudx(2); dudx(1)];
s = [0; -u(2)]; %where q=u(2);
end
and providing some initial condition (from 0 to 2pi)
function u0 = pdex1ic(x)
init = 1-cos(x);
d2init_dx2 = cos(x);

u0 = [init; d2init_dx2]
end
For the boundary conditions I just used a Neumann boundary for each boundary
function [pl,ql,pr,qr] = pdex1bc(xl,ul,xr,ur,t)
pl = [0;0];
ql = [1;1];
pr = [0;0];
qr = [1;1];
end

Now pdepe gives me a warning that it could not converge at time t=0 and I don’t get a result.
Is there something that I am missing?
I had a look at other questions about this topic and already stumbled upon this github page (https://github.com/wgreene310/pdepe-examples), but I don’t really understand it without the written equations.
Thank you very much for answering. pdepe, pde, system of equations MATLAB Answers — New Questions

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will the PAPR(Peak to Average Power Ratio) of OFDM (Orthogonal Frequency Division Multiplexing) be effected if we use different modulation schemes?
1) effect on PAPR using M-QAM
2) effect on PAPR using M-PSKwill the PAPR(Peak to Average Power Ratio) of OFDM (Orthogonal Frequency Division Multiplexing) be effected if we use different modulation schemes?
1) effect on PAPR using M-QAM
2) effect on PAPR using M-PSK will the PAPR(Peak to Average Power Ratio) of OFDM (Orthogonal Frequency Division Multiplexing) be effected if we use different modulation schemes?
1) effect on PAPR using M-QAM
2) effect on PAPR using M-PSK papr of ofdm, papr (peak to average power ratio) of ofdm(orthogonal frequency division multiplexing) MATLAB Answers — New Questions

​

Hi,

I have a problem when using multivariate regression function (mvregress) available in matlab.
I have a cell array with 20 cells in each of which there are three values as inputs and my target output is a vector with 20 values. When I load this data and call mvregress function, it gives the error: "Undefined function ‘isnan’ for input arguments of type ‘cell’."

To eliminate this problem I tried using: data = cellfun(@isnan,originaldata,’UniformOutput’,false)

But this makes all my values zero.

My code is given below:

load mywork1.mat
[beta,Sigma, resid] = mvregress(targetvalues’,originaldata)

Since it gives the error ("Undefined function ‘isnan’ for input arguments of type ‘cell’."), I tried the following

data = cellfun(@isnan,originaldata,’UniformOutput’,false)

But then all my data cells are replaced with zeros.

How can I resolve this issue and perform multivariate regression on these data?
I have attached the data set.
Thank you in advance.Hi,

I have a problem when using multivariate regression function (mvregress) available in matlab.
I have a cell array with 20 cells in each of which there are three values as inputs and my target output is a vector with 20 values. When I load this data and call mvregress function, it gives the error: "Undefined function ‘isnan’ for input arguments of type ‘cell’."

To eliminate this problem I tried using: data = cellfun(@isnan,originaldata,’UniformOutput’,false)

But this makes all my values zero.

My code is given below:

load mywork1.mat
[beta,Sigma, resid] = mvregress(targetvalues’,originaldata)

Since it gives the error ("Undefined function ‘isnan’ for input arguments of type ‘cell’."), I tried the following

data = cellfun(@isnan,originaldata,’UniformOutput’,false)

But then all my data cells are replaced with zeros.

How can I resolve this issue and perform multivariate regression on these data?
I have attached the data set.
Thank you in advance. Hi,

I have a problem when using multivariate regression function (mvregress) available in matlab.
I have a cell array with 20 cells in each of which there are three values as inputs and my target output is a vector with 20 values. When I load this data and call mvregress function, it gives the error: "Undefined function ‘isnan’ for input arguments of type ‘cell’."

To eliminate this problem I tried using: data = cellfun(@isnan,originaldata,’UniformOutput’,false)

But this makes all my values zero.

My code is given below:

load mywork1.mat
[beta,Sigma, resid] = mvregress(targetvalues’,originaldata)

Since it gives the error ("Undefined function ‘isnan’ for input arguments of type ‘cell’."), I tried the following

data = cellfun(@isnan,originaldata,’UniformOutput’,false)

But then all my data cells are replaced with zeros.

How can I resolve this issue and perform multivariate regression on these data?
I have attached the data set.
Thank you in advance. regression, mvregress, isnan MATLAB Answers — New Questions

​

Hi,
I’m would like to have a date picker window on my main app window, and I’d like something to happen whenever the date is changed. The help file says I can call a function using the ‘ValueChangedFcn’ callback, but I can’t get it to work. This is the relevant piece of code:
methods (Access = private)

function test(app)
uialert(app.UIFigure, ‘It works!’, ‘It works!’, ‘Icon’,’help’);
end

end

methods (Access = private)

% Code that executes after component creation
function startupFcn(app)

uidatepicker(app.UIFigure, ‘Position’, [780 350 100 22], ‘ValueChangedFcn’, test(app))

I get this error message – Error using app1/test
Too many output arguments.

Error in app1 (line 431)
runStartupFcn(app, @startupFcn)

Any ideas?Hi,
I’m would like to have a date picker window on my main app window, and I’d like something to happen whenever the date is changed. The help file says I can call a function using the ‘ValueChangedFcn’ callback, but I can’t get it to work. This is the relevant piece of code:
methods (Access = private)

function test(app)
uialert(app.UIFigure, ‘It works!’, ‘It works!’, ‘Icon’,’help’);
end

end

methods (Access = private)

% Code that executes after component creation
function startupFcn(app)

uidatepicker(app.UIFigure, ‘Position’, [780 350 100 22], ‘ValueChangedFcn’, test(app))

I get this error message – Error using app1/test
Too many output arguments.

Error in app1 (line 431)
runStartupFcn(app, @startupFcn)

Any ideas? Hi,
I’m would like to have a date picker window on my main app window, and I’d like something to happen whenever the date is changed. The help file says I can call a function using the ‘ValueChangedFcn’ callback, but I can’t get it to work. This is the relevant piece of code:
methods (Access = private)

function test(app)
uialert(app.UIFigure, ‘It works!’, ‘It works!’, ‘Icon’,’help’);
end

end

methods (Access = private)

% Code that executes after component creation
function startupFcn(app)

uidatepicker(app.UIFigure, ‘Position’, [780 350 100 22], ‘ValueChangedFcn’, test(app))

I get this error message – Error using app1/test
Too many output arguments.

Error in app1 (line 431)
runStartupFcn(app, @startupFcn)

Any ideas? valuechangedfcn, uidatepicker MATLAB Answers — New Questions

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Dear sir,
I am working on Watermarking. I divided a color host image into blocks using mat2cell. i hid watermark images in respective blocks. i wanted to know how i can recombine the watermarked blocks?Dear sir,
I am working on Watermarking. I divided a color host image into blocks using mat2cell. i hid watermark images in respective blocks. i wanted to know how i can recombine the watermarked blocks? Dear sir,
I am working on Watermarking. I divided a color host image into blocks using mat2cell. i hid watermark images in respective blocks. i wanted to know how i can recombine the watermarked blocks? watermarking, mat2cell MATLAB Answers — New Questions

​

A few days ago someone pointed out that using:
clc; clear; close all;
Is considered as a case of code smell and cargo cult programming.
But does that really have to be the case?
clc: cleans up the command window and now one can work without getting confused with the commands for previous runs
clear: erases the variables from previous runs this will reduce chances of error in subsequent runs and the programmer does not have to worry about unnecessary trash variables.
close all: closes all currently open figures. This can be very helpful during subsequent runs of the same script. If the figure from the previous run has not been closed then the subsequent run will plot the data on the already open figure. Which of course is a total waste.

What is the problem with using these commands?A few days ago someone pointed out that using:
clc; clear; close all;
Is considered as a case of code smell and cargo cult programming.
But does that really have to be the case?
clc: cleans up the command window and now one can work without getting confused with the commands for previous runs
clear: erases the variables from previous runs this will reduce chances of error in subsequent runs and the programmer does not have to worry about unnecessary trash variables.
close all: closes all currently open figures. This can be very helpful during subsequent runs of the same script. If the figure from the previous run has not been closed then the subsequent run will plot the data on the already open figure. Which of course is a total waste.

What is the problem with using these commands? A few days ago someone pointed out that using:
clc; clear; close all;
Is considered as a case of code smell and cargo cult programming.
But does that really have to be the case?
clc: cleans up the command window and now one can work without getting confused with the commands for previous runs
clear: erases the variables from previous runs this will reduce chances of error in subsequent runs and the programmer does not have to worry about unnecessary trash variables.
close all: closes all currently open figures. This can be very helpful during subsequent runs of the same script. If the figure from the previous run has not been closed then the subsequent run will plot the data on the already open figure. Which of course is a total waste.

What is the problem with using these commands? codesmell, cargocultprogramming, clc, clear, close all MATLAB Answers — New Questions

​

Hi,
I want to create a lookup table that based on some inputs, where the indeces of the lookup table are found and the field value is output.
I attach the lookup table I made with its corresponding breakpoints.
I am using two Preelokup blocks to find the indeces of this 2D table. These indices are used then as input to the Direct LookupTable block (see the attached block diagram picture).
My issue is that if I input e.g., 28 in "in1", the index found is correct. However, if I put a value within two breakpoint values (e.g., 30) it uses interpolation, flat or rounding, and I would like to avoid that. Is there a way where if the input value does not match with any of the breakpoints array it simply does not return any index or the Lookup table simply returns no value or a zero?
Thanks in advanceHi,
I want to create a lookup table that based on some inputs, where the indeces of the lookup table are found and the field value is output.
I attach the lookup table I made with its corresponding breakpoints.
I am using two Preelokup blocks to find the indeces of this 2D table. These indices are used then as input to the Direct LookupTable block (see the attached block diagram picture).
My issue is that if I input e.g., 28 in "in1", the index found is correct. However, if I put a value within two breakpoint values (e.g., 30) it uses interpolation, flat or rounding, and I would like to avoid that. Is there a way where if the input value does not match with any of the breakpoints array it simply does not return any index or the Lookup table simply returns no value or a zero?
Thanks in advance Hi,
I want to create a lookup table that based on some inputs, where the indeces of the lookup table are found and the field value is output.
I attach the lookup table I made with its corresponding breakpoints.
I am using two Preelokup blocks to find the indeces of this 2D table. These indices are used then as input to the Direct LookupTable block (see the attached block diagram picture).
My issue is that if I input e.g., 28 in "in1", the index found is correct. However, if I put a value within two breakpoint values (e.g., 30) it uses interpolation, flat or rounding, and I would like to avoid that. Is there a way where if the input value does not match with any of the breakpoints array it simply does not return any index or the Lookup table simply returns no value or a zero?
Thanks in advance simulink, lookuptable MATLAB Answers — New Questions

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