i have a folder containing a number of audio files. i want to load them in a loop so that each audio signals can undergo some operations that i intend to perform.i have a folder containing a number of audio files. i want to load them in a loop so that each audio signals can undergo some operations that i intend to perform. i have a folder containing a number of audio files. i want to load them in a loop so that each audio signals can undergo some operations that i intend to perform. audio signal, loading multiple files, matlab MATLAB Answers — New Questions

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Hi, I need assistance plotting the approximation (A) and detail (D) coefficients separately for all sheets in an Excel file over a given time frame. Currently, the existing code generates the transform only for the final sheet (Sheet 8). I am uncertain how to modify the code to plot A1 and D1 separately for all sheets. I would be grateful for any guidance you may provide. Thank you for your time and help.
clc
close all
clear all

filename = ‘s.xlsx’;

% Get the sheet names
[~, sheetNames] = xlsfinfo(filename);

for i = 1:numel(sheetNames)
% Read the data from the sheet
data = xlsread(filename, i);
% Extract the time and signal columns
t(:,i) = data(:, 1);
sig (:,i) = data(:, 2);
N = length(sig);
dt = t(3) – t(2); % sampling time
fs = 1/dt; % freq
signal = sig (:,i);
wname = ‘bior6.8’;
% Discrete Wavelet, DWT
[CA1,CD1] = dwt(signal,wname);
A1 = idwt(CA1,[],wname,N);
D1 = idwt([],CD1,wname,N);

t (:,i) = linspace(0,N,N)*(1/fs);
subplot(1,2,1);
plot (t,A1,’k’,’LineWidth’,1.5);
title(sprintf(‘Approximation for sheet%d’, i));
set(gca,’fontname’,’Times New Roman’,’FontSize’,10)
xlabel(‘Time (secs)’)
ylabel(‘Amplitude’)
grid on
subplot(1,2,2);
plot (t,D1,’k’,’LineWidth’,1.5);
title(sprintf(‘Detail for sheet%d’, i));
set(gca,’fontname’,’Times New Roman’,’FontSize’,10)
xlabel(‘Time (secs)’)
ylabel(‘Amplitude’)
grid on
endHi, I need assistance plotting the approximation (A) and detail (D) coefficients separately for all sheets in an Excel file over a given time frame. Currently, the existing code generates the transform only for the final sheet (Sheet 8). I am uncertain how to modify the code to plot A1 and D1 separately for all sheets. I would be grateful for any guidance you may provide. Thank you for your time and help.
clc
close all
clear all

filename = ‘s.xlsx’;

% Get the sheet names
[~, sheetNames] = xlsfinfo(filename);

for i = 1:numel(sheetNames)
% Read the data from the sheet
data = xlsread(filename, i);
% Extract the time and signal columns
t(:,i) = data(:, 1);
sig (:,i) = data(:, 2);
N = length(sig);
dt = t(3) – t(2); % sampling time
fs = 1/dt; % freq
signal = sig (:,i);
wname = ‘bior6.8’;
% Discrete Wavelet, DWT
[CA1,CD1] = dwt(signal,wname);
A1 = idwt(CA1,[],wname,N);
D1 = idwt([],CD1,wname,N);

t (:,i) = linspace(0,N,N)*(1/fs);
subplot(1,2,1);
plot (t,A1,’k’,’LineWidth’,1.5);
title(sprintf(‘Approximation for sheet%d’, i));
set(gca,’fontname’,’Times New Roman’,’FontSize’,10)
xlabel(‘Time (secs)’)
ylabel(‘Amplitude’)
grid on
subplot(1,2,2);
plot (t,D1,’k’,’LineWidth’,1.5);
title(sprintf(‘Detail for sheet%d’, i));
set(gca,’fontname’,’Times New Roman’,’FontSize’,10)
xlabel(‘Time (secs)’)
ylabel(‘Amplitude’)
grid on
end Hi, I need assistance plotting the approximation (A) and detail (D) coefficients separately for all sheets in an Excel file over a given time frame. Currently, the existing code generates the transform only for the final sheet (Sheet 8). I am uncertain how to modify the code to plot A1 and D1 separately for all sheets. I would be grateful for any guidance you may provide. Thank you for your time and help.
clc
close all
clear all

filename = ‘s.xlsx’;

% Get the sheet names
[~, sheetNames] = xlsfinfo(filename);

for i = 1:numel(sheetNames)
% Read the data from the sheet
data = xlsread(filename, i);
% Extract the time and signal columns
t(:,i) = data(:, 1);
sig (:,i) = data(:, 2);
N = length(sig);
dt = t(3) – t(2); % sampling time
fs = 1/dt; % freq
signal = sig (:,i);
wname = ‘bior6.8’;
% Discrete Wavelet, DWT
[CA1,CD1] = dwt(signal,wname);
A1 = idwt(CA1,[],wname,N);
D1 = idwt([],CD1,wname,N);

t (:,i) = linspace(0,N,N)*(1/fs);
subplot(1,2,1);
plot (t,A1,’k’,’LineWidth’,1.5);
title(sprintf(‘Approximation for sheet%d’, i));
set(gca,’fontname’,’Times New Roman’,’FontSize’,10)
xlabel(‘Time (secs)’)
ylabel(‘Amplitude’)
grid on
subplot(1,2,2);
plot (t,D1,’k’,’LineWidth’,1.5);
title(sprintf(‘Detail for sheet%d’, i));
set(gca,’fontname’,’Times New Roman’,’FontSize’,10)
xlabel(‘Time (secs)’)
ylabel(‘Amplitude’)
grid on
end dwt, plot, for loop MATLAB Answers — New Questions

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I’m trying to use the native mysql interface to connect to a MySql 8.0.37 database on Azure. This database was previously deployed to a test server which didn’t require SSL and I was able to connect to it without issue. I’m also able to connect to the new Azure MySql database using DBeaver and the MySql Workbench from the same client computer, but I get the following error when I try to connect with Matlab’s mysql connector:
Error using mysql (line 49)
Connections using insecure transport are prohibited while –require_secure_transport=ON..
My connection code is as follows (where aosDbSettings is a struct containing the connection details):
conn = mysql( …
aosDbSettings.UserName, aosDbSettings.UserPassword, …
‘Server’, aosDbSettings.Server, …
‘DatabaseName’, aosDbSettings.DatabaseName, …
‘PortNumber’, aosDbSettings.PortNumber …
);
Having reviewed the documentation for the Native MySql Interface (specifically the mysql function), I don’t see any options related to SSL. Are there any undocumented options available to make this work? I find it surprising that there’s no mention of security options in the documentation. Am I missing something?I’m trying to use the native mysql interface to connect to a MySql 8.0.37 database on Azure. This database was previously deployed to a test server which didn’t require SSL and I was able to connect to it without issue. I’m also able to connect to the new Azure MySql database using DBeaver and the MySql Workbench from the same client computer, but I get the following error when I try to connect with Matlab’s mysql connector:
Error using mysql (line 49)
Connections using insecure transport are prohibited while –require_secure_transport=ON..
My connection code is as follows (where aosDbSettings is a struct containing the connection details):
conn = mysql( …
aosDbSettings.UserName, aosDbSettings.UserPassword, …
‘Server’, aosDbSettings.Server, …
‘DatabaseName’, aosDbSettings.DatabaseName, …
‘PortNumber’, aosDbSettings.PortNumber …
);
Having reviewed the documentation for the Native MySql Interface (specifically the mysql function), I don’t see any options related to SSL. Are there any undocumented options available to make this work? I find it surprising that there’s no mention of security options in the documentation. Am I missing something? I’m trying to use the native mysql interface to connect to a MySql 8.0.37 database on Azure. This database was previously deployed to a test server which didn’t require SSL and I was able to connect to it without issue. I’m also able to connect to the new Azure MySql database using DBeaver and the MySql Workbench from the same client computer, but I get the following error when I try to connect with Matlab’s mysql connector:
Error using mysql (line 49)
Connections using insecure transport are prohibited while –require_secure_transport=ON..
My connection code is as follows (where aosDbSettings is a struct containing the connection details):
conn = mysql( …
aosDbSettings.UserName, aosDbSettings.UserPassword, …
‘Server’, aosDbSettings.Server, …
‘DatabaseName’, aosDbSettings.DatabaseName, …
‘PortNumber’, aosDbSettings.PortNumber …
);
Having reviewed the documentation for the Native MySql Interface (specifically the mysql function), I don’t see any options related to SSL. Are there any undocumented options available to make this work? I find it surprising that there’s no mention of security options in the documentation. Am I missing something? mysql, ssl, database toolbox MATLAB Answers — New Questions

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% 1. Load a Mesh
[V, F] = readOFF(‘D:Conferences and WorkshopsSG SummerMFC – Scodesgptoolbox-mastergptoolbox-mastermesh.off’);

% 2. Display the Mesh
figure;
trisurf(F, V(:,1), V(:,2), V(:,3), ‘FaceColor’, ‘cyan’, ‘EdgeColor’, ‘none’);
axis equal;
lighting gouraud;
camlight;
title(‘Original Mesh’);
xlabel(‘X’);
ylabel(‘Y’);
zlabel(‘Z’);

% Define the number of iterations and timestep for smoothing
num_iterations = 100;
time_step = 0.01;

% 3. Mean Curvature Flow (MCF) – Explicit Method
V_explicit = V; % Copy the vertices for the explicit method

for iter = 1:num_iterations
% Compute the Laplace-Beltrami operator and mean curvature normal
L = cotmatrix(V_explicit, F);
HN = -L * V_explicit;

% Update vertex positions
V_explicit = V_explicit + time_step * HN;
end

% Display the smoothed mesh – Explicit Method
figure;
trisurf(F, V_explicit(:,1), V_explicit(:,2), V_explicit(:,3), ‘FaceColor’, ‘cyan’, ‘EdgeColor’, ‘none’);
axis equal;
lighting gouraud;
camlight;
title(‘MCF – Explicit Method’);
xlabel(‘X’);
ylabel(‘Y’);
zlabel(‘Z’);

% 3. Mean Curvature Flow (MCF) – Semi-Implicit Method
V_implicit = V; % Copy the vertices for the implicit method

for iter = 1:num_iterations
% Compute the Laplace-Beltrami operator
L = cotmatrix(V_implicit, F);

% Solve (I – time_step * L) * V_new = V_old
V_implicit = (speye(size(V_implicit, 1)) – time_step * L) V_implicit;
end

% Display the smoothed mesh – Semi-Implicit Method
figure;
trisurf(F, V_implicit(:,1), V_implicit(:,2), V_implicit(:,3), ‘FaceColor’, ‘cyan’, ‘EdgeColor’, ‘none’);
axis equal;
lighting gouraud;
camlight;
title(‘MCF – Semi-Implicit Method’);
xlabel(‘X’);
ylabel(‘Y’);
zlabel(‘Z’);
here is the link to loadmesh function: https://github.com/geometry-processing/gptoolbox/blob/master/mesh/load_mesh.m
and the readOFF: https://github.com/geometry-processing/gptoolbox/blob/master/mesh/readOFF.m% 1. Load a Mesh
[V, F] = readOFF(‘D:Conferences and WorkshopsSG SummerMFC – Scodesgptoolbox-mastergptoolbox-mastermesh.off’);

% 2. Display the Mesh
figure;
trisurf(F, V(:,1), V(:,2), V(:,3), ‘FaceColor’, ‘cyan’, ‘EdgeColor’, ‘none’);
axis equal;
lighting gouraud;
camlight;
title(‘Original Mesh’);
xlabel(‘X’);
ylabel(‘Y’);
zlabel(‘Z’);

% Define the number of iterations and timestep for smoothing
num_iterations = 100;
time_step = 0.01;

% 3. Mean Curvature Flow (MCF) – Explicit Method
V_explicit = V; % Copy the vertices for the explicit method

for iter = 1:num_iterations
% Compute the Laplace-Beltrami operator and mean curvature normal
L = cotmatrix(V_explicit, F);
HN = -L * V_explicit;

% Update vertex positions
V_explicit = V_explicit + time_step * HN;
end

% Display the smoothed mesh – Explicit Method
figure;
trisurf(F, V_explicit(:,1), V_explicit(:,2), V_explicit(:,3), ‘FaceColor’, ‘cyan’, ‘EdgeColor’, ‘none’);
axis equal;
lighting gouraud;
camlight;
title(‘MCF – Explicit Method’);
xlabel(‘X’);
ylabel(‘Y’);
zlabel(‘Z’);

% 3. Mean Curvature Flow (MCF) – Semi-Implicit Method
V_implicit = V; % Copy the vertices for the implicit method

for iter = 1:num_iterations
% Compute the Laplace-Beltrami operator
L = cotmatrix(V_implicit, F);

% Solve (I – time_step * L) * V_new = V_old
V_implicit = (speye(size(V_implicit, 1)) – time_step * L) V_implicit;
end

% Display the smoothed mesh – Semi-Implicit Method
figure;
trisurf(F, V_implicit(:,1), V_implicit(:,2), V_implicit(:,3), ‘FaceColor’, ‘cyan’, ‘EdgeColor’, ‘none’);
axis equal;
lighting gouraud;
camlight;
title(‘MCF – Semi-Implicit Method’);
xlabel(‘X’);
ylabel(‘Y’);
zlabel(‘Z’);
here is the link to loadmesh function: https://github.com/geometry-processing/gptoolbox/blob/master/mesh/load_mesh.m
and the readOFF: https://github.com/geometry-processing/gptoolbox/blob/master/mesh/readOFF.m % 1. Load a Mesh
[V, F] = readOFF(‘D:Conferences and WorkshopsSG SummerMFC – Scodesgptoolbox-mastergptoolbox-mastermesh.off’);

% 2. Display the Mesh
figure;
trisurf(F, V(:,1), V(:,2), V(:,3), ‘FaceColor’, ‘cyan’, ‘EdgeColor’, ‘none’);
axis equal;
lighting gouraud;
camlight;
title(‘Original Mesh’);
xlabel(‘X’);
ylabel(‘Y’);
zlabel(‘Z’);

% Define the number of iterations and timestep for smoothing
num_iterations = 100;
time_step = 0.01;

% 3. Mean Curvature Flow (MCF) – Explicit Method
V_explicit = V; % Copy the vertices for the explicit method

for iter = 1:num_iterations
% Compute the Laplace-Beltrami operator and mean curvature normal
L = cotmatrix(V_explicit, F);
HN = -L * V_explicit;

% Update vertex positions
V_explicit = V_explicit + time_step * HN;
end

% Display the smoothed mesh – Explicit Method
figure;
trisurf(F, V_explicit(:,1), V_explicit(:,2), V_explicit(:,3), ‘FaceColor’, ‘cyan’, ‘EdgeColor’, ‘none’);
axis equal;
lighting gouraud;
camlight;
title(‘MCF – Explicit Method’);
xlabel(‘X’);
ylabel(‘Y’);
zlabel(‘Z’);

% 3. Mean Curvature Flow (MCF) – Semi-Implicit Method
V_implicit = V; % Copy the vertices for the implicit method

for iter = 1:num_iterations
% Compute the Laplace-Beltrami operator
L = cotmatrix(V_implicit, F);

% Solve (I – time_step * L) * V_new = V_old
V_implicit = (speye(size(V_implicit, 1)) – time_step * L) V_implicit;
end

% Display the smoothed mesh – Semi-Implicit Method
figure;
trisurf(F, V_implicit(:,1), V_implicit(:,2), V_implicit(:,3), ‘FaceColor’, ‘cyan’, ‘EdgeColor’, ‘none’);
axis equal;
lighting gouraud;
camlight;
title(‘MCF – Semi-Implicit Method’);
xlabel(‘X’);
ylabel(‘Y’);
zlabel(‘Z’);
here is the link to loadmesh function: https://github.com/geometry-processing/gptoolbox/blob/master/mesh/load_mesh.m
and the readOFF: https://github.com/geometry-processing/gptoolbox/blob/master/mesh/readOFF.m gpu, gp, image processing, mesh MATLAB Answers — New Questions

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I have been experimenting with the image processing toolbox’s function "imfindcircles", and it works well. However, there is one issue: I have an extended big ring in the image where I want to recognise its "center" instead of the outer end of the ring (see attached figure, where the outer end is plotted with viscircles and the center and radius found by imfindcircles).
This is also mirrored in the data itself: both the inner and outer end of the big ring have a lower intensity than its center. Is there a way to force "imfindcircles" to use the ring of maximum intensity? (Note that I have applied a thresholding to my image, otherwise the gradient at the ring ends would not be as harsh, and imfindcircles would struggle to differentiate between the ring and artifacts neighbouring the ring.)
Or is there maybe an alternative that includes a second step? After all, the circle center is properly recognised, so I can maybe vary the radius slightly? Maybe I could add up all the values of pixels that would lie on the circle, and see where that reaches its maximum. Is there an easy way to do something like that?
openfig findcircle-test.figI have been experimenting with the image processing toolbox’s function "imfindcircles", and it works well. However, there is one issue: I have an extended big ring in the image where I want to recognise its "center" instead of the outer end of the ring (see attached figure, where the outer end is plotted with viscircles and the center and radius found by imfindcircles).
This is also mirrored in the data itself: both the inner and outer end of the big ring have a lower intensity than its center. Is there a way to force "imfindcircles" to use the ring of maximum intensity? (Note that I have applied a thresholding to my image, otherwise the gradient at the ring ends would not be as harsh, and imfindcircles would struggle to differentiate between the ring and artifacts neighbouring the ring.)
Or is there maybe an alternative that includes a second step? After all, the circle center is properly recognised, so I can maybe vary the radius slightly? Maybe I could add up all the values of pixels that would lie on the circle, and see where that reaches its maximum. Is there an easy way to do something like that?
openfig findcircle-test.fig I have been experimenting with the image processing toolbox’s function "imfindcircles", and it works well. However, there is one issue: I have an extended big ring in the image where I want to recognise its "center" instead of the outer end of the ring (see attached figure, where the outer end is plotted with viscircles and the center and radius found by imfindcircles).
This is also mirrored in the data itself: both the inner and outer end of the big ring have a lower intensity than its center. Is there a way to force "imfindcircles" to use the ring of maximum intensity? (Note that I have applied a thresholding to my image, otherwise the gradient at the ring ends would not be as harsh, and imfindcircles would struggle to differentiate between the ring and artifacts neighbouring the ring.)
Or is there maybe an alternative that includes a second step? After all, the circle center is properly recognised, so I can maybe vary the radius slightly? Maybe I could add up all the values of pixels that would lie on the circle, and see where that reaches its maximum. Is there an easy way to do something like that?
openfig findcircle-test.fig image segmentation MATLAB Answers — New Questions

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