Attempts to save UIFigure inside a parfor loop using getframe or exportgraphics dont seem to work. Returning the error that these functions cant be used in nodisplay mode. I rely on a 3rd party function ft_topoplot_er to plot certain topographs on my UIFigure and save the resulting video, but these calls take some time done sequentially, so I wished to parallelise them using parfor yet I’m unable to do so.Attempts to save UIFigure inside a parfor loop using getframe or exportgraphics dont seem to work. Returning the error that these functions cant be used in nodisplay mode. I rely on a 3rd party function ft_topoplot_er to plot certain topographs on my UIFigure and save the resulting video, but these calls take some time done sequentially, so I wished to parallelise them using parfor yet I’m unable to do so. Attempts to save UIFigure inside a parfor loop using getframe or exportgraphics dont seem to work. Returning the error that these functions cant be used in nodisplay mode. I rely on a 3rd party function ft_topoplot_er to plot certain topographs on my UIFigure and save the resulting video, but these calls take some time done sequentially, so I wished to parallelise them using parfor yet I’m unable to do so. parfor, uifigure, videowriter MATLAB Answers — New Questions

​

i created matlab gui and the simulink model i want it to be combine how can i do those thinki created matlab gui and the simulink model i want it to be combine how can i do those think i created matlab gui and the simulink model i want it to be combine how can i do those think matlab ui, simulink MATLAB Answers — New Questions

​

Hey!
I am encountering an issue while performing the hardware setup for C2000 in MATLAB. Below are the details of the problem:
Setup Step:I am at the step where I need to select the process family for C2000 hardware setup.
Observed Issue: *After selecting the process family (e.g., C2000), the setup page is maximized, and I cannot proceed further. *The "Next" or "Proceed" button is either not visible or unresponsive.
Expected Behavior:After selecting the process family, I should be able to click "Next" or "Proceed" to move to the next step.
Steps Tried:
Resized the window manually.
Tried restarting MATLAB and redoing the hardware setup.
Checked for updates or patches related to MATLAB or C2000.
Can anyone guide me on how to resolve this issue? Any suggestions or troubleshooting steps would be greatly appreciated.
Thank you.Hey!
I am encountering an issue while performing the hardware setup for C2000 in MATLAB. Below are the details of the problem:
Setup Step:I am at the step where I need to select the process family for C2000 hardware setup.
Observed Issue: *After selecting the process family (e.g., C2000), the setup page is maximized, and I cannot proceed further. *The "Next" or "Proceed" button is either not visible or unresponsive.
Expected Behavior:After selecting the process family, I should be able to click "Next" or "Proceed" to move to the next step.
Steps Tried:
Resized the window manually.
Tried restarting MATLAB and redoing the hardware setup.
Checked for updates or patches related to MATLAB or C2000.
Can anyone guide me on how to resolve this issue? Any suggestions or troubleshooting steps would be greatly appreciated.
Thank you. Hey!
I am encountering an issue while performing the hardware setup for C2000 in MATLAB. Below are the details of the problem:
Setup Step:I am at the step where I need to select the process family for C2000 hardware setup.
Observed Issue: *After selecting the process family (e.g., C2000), the setup page is maximized, and I cannot proceed further. *The "Next" or "Proceed" button is either not visible or unresponsive.
Expected Behavior:After selecting the process family, I should be able to click "Next" or "Proceed" to move to the next step.
Steps Tried:
Resized the window manually.
Tried restarting MATLAB and redoing the hardware setup.
Checked for updates or patches related to MATLAB or C2000.
Can anyone guide me on how to resolve this issue? Any suggestions or troubleshooting steps would be greatly appreciated.
Thank you. c2000, hardware setup, f28p55x, microcontroller MATLAB Answers — New Questions

​

Hi everyone,

I’m trying to test the impulse response of a microphone that i have attached to a rotary device connected to an arduino board. Basically trying to automate getting the impulse response at different angles. Thing is, I can’t get the audiorecorder function to work properly within the for loop. It only gives me the impulse response for the final iteration. The rest has no values.

Goal is to play a white noise, record the data from mic using audiorecorder, do my ffts and iffts for impulse response, rotate by a certain angle and repeat the process.

My code is below. Any help would be greatly appreciated because I’m at a complete standstill on what to do here.

close all
clear all

% Parameters
fs = 44100; % Sampling frequency
dur = 30; % Duration of recording in seconds
dt = 1/fs; % Time step

% Create time vector for plotting
time = 0:dt:dur-dt;

% Generate white noise for the entire duration
noise=randn(dur*fs,1);
ramp_up = 0:0.01:1;
ramp_up=ramp_up’;
ramp_down= 1:-0.01:0;
ramp_down=ramp_down’;
noise(1:length(ramp_up))=noise(1:length(ramp_up)).*ramp_up;
noise(end-length(ramp_down)+1:end)=noise(end-length(ramp_down)+1:end).*ramp_down;
noise=noise./max(noise);

recObj = audiorecorder(fs, 24, 2, 2);

%Arduino Setup
clear dcm sm shield a;
a = arduino(‘COM5′,’Uno’,’Libraries’,’AdafruitMotorShieldV2′);
shield = addon(a,’AdafruitMotorShieldV2′);
addrs = scanI2CBus(a,0);
sm = stepper(shield,2,200);
sm.RPM = 3;

Angle = 45; %Rotation Angle
n_rot = 180 / Angle; %Number of Rotations

IM_L=1000; % Truncated impulse response length in number of data points
LS_IR=zeros(n_rot,IM_L);
nfft = 96000; % FFT size
df = fs / nfft; % Frequency resolution
faxis = df:df:nfft*df; % Frequency axis
nFreq=length(faxis);

%Initializing data storage
nSamples = fs * dur;
allData_mic = zeros(nSamples, n_rot);
allData_spk = zeros(nSamples,n_rot);
allIR = zeros(nFreq, n_rot);
allIR_trunc=zeros(IM_L, n_rot);
allfrf=zeros(nFreq/2,n_rot);
allfrf_trunc=zeros(IM_L,n_rot);

%for i = 1:1
for i = 1:n_rot+1
%recording
sound(noise, fs);
% Record two-channel microphone input (24-bit, 2 channels)

recordblocking(recObj, dur); % Record for specified duration

% Get recorded data (two channels)
recordedData = getaudiodata(recObj);

spkinput = recordedData(:, 1); % First channel: Speaker
microphoneInput = recordedData(:, 2); % Second channel: Microphone

microphoneInput = microphoneInput./0.0462;%Left Ear (Fixed)
%microphoneInput = microphoneInput./0.0630;%Right Ear

%% FFT

nav = floor(length(spkinput) / nfft) * 2 – 1; % Number of averages

% Initialize accumulators for power spectral densities and cross-spectral density
G1 = zeros(nfft, 1); % Power Spectral Density of Speaker
G2 = zeros(nfft, 1); % Power Spectral Density of Microphone
G12 = zeros(nfft, 1); % Cross-Spectral Density between Microphone 1 and Microphone 2
G21 = zeros(nfft, 1);
% Loop through the signal with 50% overlap and apply FFT
for i = 1:nav
p1 = 1 + nfft * (i – 1) * 0.5; % Start index for the current block
p2 = p1 + nfft-1; % End index for the current block
% Apply Hann window to the blocks
win=hann(length(spkinput(p1:p2))); % Create a Hann window for the current segment
% Applying windows to blocks
spk_win = win.*spkinput(p1:p2); % Mic1 input
mic_win = win.*microphoneInput(p1:p2); % Mic2 input
% FFT of the windowed blocks
Xf = fft(spk_win, nfft); % FFT of Mic1
Yf = fft(mic_win, nfft); % FFT of Mic2
G1 = G1 + Xf .* conj(Xf); % PSD of Speaker input
G2 = G2 + Yf .* conj(Yf); % PSD of Microphone recording
G12 = G12 + Xf .* conj(Yf); % CSD between Microphone and Speaker
G21=G21 + Yf.*conj(Xf);
end

G1 = 2*G1(1:nfft/2)./(nfft*nfft*nav);
G2 = 2*G2(1:nfft/2)./(nfft*nfft*nav);
G12 = 2*G12(1:nfft/2)./(nfft*nfft*nav);
G21 = 2*G21(1:nfft/2)./(nfft*nfft*nav);

% Compute Coherence Function
coherence = abs(G21).^2 ./ (G1 .* G2);

% Compute Frequency Response Function (FRF)
frf = G2./G12; % FRF
magdB=20*log10(abs(frf));

%% Impulse Response
IR = ifft(frf,nfft);
IR_trunc=IR(1:IM_L);

%impulse_time = (0:nfft-1) * dt;
% n_samp=length(frf);
% impulse_time= 0:dt:(length(microphoneInput1)-1)*dt;

%store everything to the two vectors made above
allData_spk(:, i) = spkinput;
allData_mic(:, i) = microphoneInput;
allIR (:,i) = IR;
allIR_trunc (:,i)= IR_trunc;
allfrf (:,i) = frf;

filenameOut = sprintf(‘HeadTesting_Baseline_27Jan_%ddeg.mat’, ((i-1)*5));

%Movement———–
% – moves it to the left (counterclockwise) (standing behind it)
% + moves it to the right (clockwise) (stangind behind it)
if i~=n_rot+1
move(sm, +50*Angle);
end

end

clear dcm sm shield a;Hi everyone,

I’m trying to test the impulse response of a microphone that i have attached to a rotary device connected to an arduino board. Basically trying to automate getting the impulse response at different angles. Thing is, I can’t get the audiorecorder function to work properly within the for loop. It only gives me the impulse response for the final iteration. The rest has no values.

Goal is to play a white noise, record the data from mic using audiorecorder, do my ffts and iffts for impulse response, rotate by a certain angle and repeat the process.

My code is below. Any help would be greatly appreciated because I’m at a complete standstill on what to do here.

close all
clear all

% Parameters
fs = 44100; % Sampling frequency
dur = 30; % Duration of recording in seconds
dt = 1/fs; % Time step

% Create time vector for plotting
time = 0:dt:dur-dt;

% Generate white noise for the entire duration
noise=randn(dur*fs,1);
ramp_up = 0:0.01:1;
ramp_up=ramp_up’;
ramp_down= 1:-0.01:0;
ramp_down=ramp_down’;
noise(1:length(ramp_up))=noise(1:length(ramp_up)).*ramp_up;
noise(end-length(ramp_down)+1:end)=noise(end-length(ramp_down)+1:end).*ramp_down;
noise=noise./max(noise);

recObj = audiorecorder(fs, 24, 2, 2);

%Arduino Setup
clear dcm sm shield a;
a = arduino(‘COM5′,’Uno’,’Libraries’,’AdafruitMotorShieldV2′);
shield = addon(a,’AdafruitMotorShieldV2′);
addrs = scanI2CBus(a,0);
sm = stepper(shield,2,200);
sm.RPM = 3;

Angle = 45; %Rotation Angle
n_rot = 180 / Angle; %Number of Rotations

IM_L=1000; % Truncated impulse response length in number of data points
LS_IR=zeros(n_rot,IM_L);
nfft = 96000; % FFT size
df = fs / nfft; % Frequency resolution
faxis = df:df:nfft*df; % Frequency axis
nFreq=length(faxis);

%Initializing data storage
nSamples = fs * dur;
allData_mic = zeros(nSamples, n_rot);
allData_spk = zeros(nSamples,n_rot);
allIR = zeros(nFreq, n_rot);
allIR_trunc=zeros(IM_L, n_rot);
allfrf=zeros(nFreq/2,n_rot);
allfrf_trunc=zeros(IM_L,n_rot);

%for i = 1:1
for i = 1:n_rot+1
%recording
sound(noise, fs);
% Record two-channel microphone input (24-bit, 2 channels)

recordblocking(recObj, dur); % Record for specified duration

% Get recorded data (two channels)
recordedData = getaudiodata(recObj);

spkinput = recordedData(:, 1); % First channel: Speaker
microphoneInput = recordedData(:, 2); % Second channel: Microphone

microphoneInput = microphoneInput./0.0462;%Left Ear (Fixed)
%microphoneInput = microphoneInput./0.0630;%Right Ear

%% FFT

nav = floor(length(spkinput) / nfft) * 2 – 1; % Number of averages

% Initialize accumulators for power spectral densities and cross-spectral density
G1 = zeros(nfft, 1); % Power Spectral Density of Speaker
G2 = zeros(nfft, 1); % Power Spectral Density of Microphone
G12 = zeros(nfft, 1); % Cross-Spectral Density between Microphone 1 and Microphone 2
G21 = zeros(nfft, 1);
% Loop through the signal with 50% overlap and apply FFT
for i = 1:nav
p1 = 1 + nfft * (i – 1) * 0.5; % Start index for the current block
p2 = p1 + nfft-1; % End index for the current block
% Apply Hann window to the blocks
win=hann(length(spkinput(p1:p2))); % Create a Hann window for the current segment
% Applying windows to blocks
spk_win = win.*spkinput(p1:p2); % Mic1 input
mic_win = win.*microphoneInput(p1:p2); % Mic2 input
% FFT of the windowed blocks
Xf = fft(spk_win, nfft); % FFT of Mic1
Yf = fft(mic_win, nfft); % FFT of Mic2
G1 = G1 + Xf .* conj(Xf); % PSD of Speaker input
G2 = G2 + Yf .* conj(Yf); % PSD of Microphone recording
G12 = G12 + Xf .* conj(Yf); % CSD between Microphone and Speaker
G21=G21 + Yf.*conj(Xf);
end

G1 = 2*G1(1:nfft/2)./(nfft*nfft*nav);
G2 = 2*G2(1:nfft/2)./(nfft*nfft*nav);
G12 = 2*G12(1:nfft/2)./(nfft*nfft*nav);
G21 = 2*G21(1:nfft/2)./(nfft*nfft*nav);

% Compute Coherence Function
coherence = abs(G21).^2 ./ (G1 .* G2);

% Compute Frequency Response Function (FRF)
frf = G2./G12; % FRF
magdB=20*log10(abs(frf));

%% Impulse Response
IR = ifft(frf,nfft);
IR_trunc=IR(1:IM_L);

%impulse_time = (0:nfft-1) * dt;
% n_samp=length(frf);
% impulse_time= 0:dt:(length(microphoneInput1)-1)*dt;

%store everything to the two vectors made above
allData_spk(:, i) = spkinput;
allData_mic(:, i) = microphoneInput;
allIR (:,i) = IR;
allIR_trunc (:,i)= IR_trunc;
allfrf (:,i) = frf;

filenameOut = sprintf(‘HeadTesting_Baseline_27Jan_%ddeg.mat’, ((i-1)*5));

%Movement———–
% – moves it to the left (counterclockwise) (standing behind it)
% + moves it to the right (clockwise) (stangind behind it)
if i~=n_rot+1
move(sm, +50*Angle);
end

end

clear dcm sm shield a; Hi everyone,

I’m trying to test the impulse response of a microphone that i have attached to a rotary device connected to an arduino board. Basically trying to automate getting the impulse response at different angles. Thing is, I can’t get the audiorecorder function to work properly within the for loop. It only gives me the impulse response for the final iteration. The rest has no values.

Goal is to play a white noise, record the data from mic using audiorecorder, do my ffts and iffts for impulse response, rotate by a certain angle and repeat the process.

My code is below. Any help would be greatly appreciated because I’m at a complete standstill on what to do here.

close all
clear all

% Parameters
fs = 44100; % Sampling frequency
dur = 30; % Duration of recording in seconds
dt = 1/fs; % Time step

% Create time vector for plotting
time = 0:dt:dur-dt;

% Generate white noise for the entire duration
noise=randn(dur*fs,1);
ramp_up = 0:0.01:1;
ramp_up=ramp_up’;
ramp_down= 1:-0.01:0;
ramp_down=ramp_down’;
noise(1:length(ramp_up))=noise(1:length(ramp_up)).*ramp_up;
noise(end-length(ramp_down)+1:end)=noise(end-length(ramp_down)+1:end).*ramp_down;
noise=noise./max(noise);

recObj = audiorecorder(fs, 24, 2, 2);

%Arduino Setup
clear dcm sm shield a;
a = arduino(‘COM5′,’Uno’,’Libraries’,’AdafruitMotorShieldV2′);
shield = addon(a,’AdafruitMotorShieldV2′);
addrs = scanI2CBus(a,0);
sm = stepper(shield,2,200);
sm.RPM = 3;

Angle = 45; %Rotation Angle
n_rot = 180 / Angle; %Number of Rotations

IM_L=1000; % Truncated impulse response length in number of data points
LS_IR=zeros(n_rot,IM_L);
nfft = 96000; % FFT size
df = fs / nfft; % Frequency resolution
faxis = df:df:nfft*df; % Frequency axis
nFreq=length(faxis);

%Initializing data storage
nSamples = fs * dur;
allData_mic = zeros(nSamples, n_rot);
allData_spk = zeros(nSamples,n_rot);
allIR = zeros(nFreq, n_rot);
allIR_trunc=zeros(IM_L, n_rot);
allfrf=zeros(nFreq/2,n_rot);
allfrf_trunc=zeros(IM_L,n_rot);

%for i = 1:1
for i = 1:n_rot+1
%recording
sound(noise, fs);
% Record two-channel microphone input (24-bit, 2 channels)

recordblocking(recObj, dur); % Record for specified duration

% Get recorded data (two channels)
recordedData = getaudiodata(recObj);

spkinput = recordedData(:, 1); % First channel: Speaker
microphoneInput = recordedData(:, 2); % Second channel: Microphone

microphoneInput = microphoneInput./0.0462;%Left Ear (Fixed)
%microphoneInput = microphoneInput./0.0630;%Right Ear

%% FFT

nav = floor(length(spkinput) / nfft) * 2 – 1; % Number of averages

% Initialize accumulators for power spectral densities and cross-spectral density
G1 = zeros(nfft, 1); % Power Spectral Density of Speaker
G2 = zeros(nfft, 1); % Power Spectral Density of Microphone
G12 = zeros(nfft, 1); % Cross-Spectral Density between Microphone 1 and Microphone 2
G21 = zeros(nfft, 1);
% Loop through the signal with 50% overlap and apply FFT
for i = 1:nav
p1 = 1 + nfft * (i – 1) * 0.5; % Start index for the current block
p2 = p1 + nfft-1; % End index for the current block
% Apply Hann window to the blocks
win=hann(length(spkinput(p1:p2))); % Create a Hann window for the current segment
% Applying windows to blocks
spk_win = win.*spkinput(p1:p2); % Mic1 input
mic_win = win.*microphoneInput(p1:p2); % Mic2 input
% FFT of the windowed blocks
Xf = fft(spk_win, nfft); % FFT of Mic1
Yf = fft(mic_win, nfft); % FFT of Mic2
G1 = G1 + Xf .* conj(Xf); % PSD of Speaker input
G2 = G2 + Yf .* conj(Yf); % PSD of Microphone recording
G12 = G12 + Xf .* conj(Yf); % CSD between Microphone and Speaker
G21=G21 + Yf.*conj(Xf);
end

G1 = 2*G1(1:nfft/2)./(nfft*nfft*nav);
G2 = 2*G2(1:nfft/2)./(nfft*nfft*nav);
G12 = 2*G12(1:nfft/2)./(nfft*nfft*nav);
G21 = 2*G21(1:nfft/2)./(nfft*nfft*nav);

% Compute Coherence Function
coherence = abs(G21).^2 ./ (G1 .* G2);

% Compute Frequency Response Function (FRF)
frf = G2./G12; % FRF
magdB=20*log10(abs(frf));

%% Impulse Response
IR = ifft(frf,nfft);
IR_trunc=IR(1:IM_L);

%impulse_time = (0:nfft-1) * dt;
% n_samp=length(frf);
% impulse_time= 0:dt:(length(microphoneInput1)-1)*dt;

%store everything to the two vectors made above
allData_spk(:, i) = spkinput;
allData_mic(:, i) = microphoneInput;
allIR (:,i) = IR;
allIR_trunc (:,i)= IR_trunc;
allfrf (:,i) = frf;

filenameOut = sprintf(‘HeadTesting_Baseline_27Jan_%ddeg.mat’, ((i-1)*5));

%Movement———–
% – moves it to the left (counterclockwise) (standing behind it)
% + moves it to the right (clockwise) (stangind behind it)
if i~=n_rot+1
move(sm, +50*Angle);
end

end

clear dcm sm shield a; audiorecorder, signal processing, audio, arduino, for loop MATLAB Answers — New Questions

​

I have a text file containing some numbers separated with coma.How can I remove those comas.
Example:
data.txt={1,2,3,4………}.Is there any method to remove those comas?

My text file when loaded to matlab is 2517×1001 matrix.

Kindly respondI have a text file containing some numbers separated with coma.How can I remove those comas.
Example:
data.txt={1,2,3,4………}.Is there any method to remove those comas?

My text file when loaded to matlab is 2517×1001 matrix.

Kindly respond I have a text file containing some numbers separated with coma.How can I remove those comas.
Example:
data.txt={1,2,3,4………}.Is there any method to remove those comas?

My text file when loaded to matlab is 2517×1001 matrix.

Kindly respond removing comas MATLAB Answers — New Questions

​

Hello,
I want to have a lag value of variable X (PANEL of nature), but since Matlab does not accept different matrix size variables, what should I do. Variable is 4100*1 and lag of it is 3936*1.Hello,
I want to have a lag value of variable X (PANEL of nature), but since Matlab does not accept different matrix size variables, what should I do. Variable is 4100*1 and lag of it is 3936*1. Hello,
I want to have a lag value of variable X (PANEL of nature), but since Matlab does not accept different matrix size variables, what should I do. Variable is 4100*1 and lag of it is 3936*1. lag values MATLAB Answers — New Questions

​

Hello, how can I resolve the error "Invalid operand. Variables of type "sym" cannot be combined with other models." in this code. Separately if it works for me. Thanks
d=5;%sobreoscilacion
tp=4; %tiempo pico
k=100;
syms e w
ecA=((-e*pi)/sqrt(1-e^2))-log(d)== 0;
e= vpa(solve(ecA,e)); %valor epsilon
ecB=(pi/(w*(sqrt(1-e^2))))-tp==0;
w= vpa(solve(ecB,w)); %valor ohmega
%%%%
s=tf(‘s’);
Q=((k*(w)^2)/(s^2+2*e+s+(w)^2))*exp(-tp*s);
Q_apro=pade(Q,1);Hello, how can I resolve the error "Invalid operand. Variables of type "sym" cannot be combined with other models." in this code. Separately if it works for me. Thanks
d=5;%sobreoscilacion
tp=4; %tiempo pico
k=100;
syms e w
ecA=((-e*pi)/sqrt(1-e^2))-log(d)== 0;
e= vpa(solve(ecA,e)); %valor epsilon
ecB=(pi/(w*(sqrt(1-e^2))))-tp==0;
w= vpa(solve(ecB,w)); %valor ohmega
%%%%
s=tf(‘s’);
Q=((k*(w)^2)/(s^2+2*e+s+(w)^2))*exp(-tp*s);
Q_apro=pade(Q,1); Hello, how can I resolve the error "Invalid operand. Variables of type "sym" cannot be combined with other models." in this code. Separately if it works for me. Thanks
d=5;%sobreoscilacion
tp=4; %tiempo pico
k=100;
syms e w
ecA=((-e*pi)/sqrt(1-e^2))-log(d)== 0;
e= vpa(solve(ecA,e)); %valor epsilon
ecB=(pi/(w*(sqrt(1-e^2))))-tp==0;
w= vpa(solve(ecB,w)); %valor ohmega
%%%%
s=tf(‘s’);
Q=((k*(w)^2)/(s^2+2*e+s+(w)^2))*exp(-tp*s);
Q_apro=pade(Q,1); syms, sym MATLAB Answers — New Questions

​

Does anybody knows how to select only rows and not columns? I’m trying to select all the first values of each column, is that possible?Does anybody knows how to select only rows and not columns? I’m trying to select all the first values of each column, is that possible? Does anybody knows how to select only rows and not columns? I’m trying to select all the first values of each column, is that possible? rows, columns, matrix MATLAB Answers — New Questions

​

error when appending pdfserror when appending pdfs error when appending pdfs append pdf error MATLAB Answers — New Questions

​

"MinElevationAngle" is found in the ground station object to only have line-of-sight satellites above a mask angle. How can we do that for an aircraft?"MinElevationAngle" is found in the ground station object to only have line-of-sight satellites above a mask angle. How can we do that for an aircraft? "MinElevationAngle" is found in the ground station object to only have line-of-sight satellites above a mask angle. How can we do that for an aircraft? satellitescenario, platform MATLAB Answers — New Questions

​