I would like to find an approach to define a path of vehicle in path-length coordinate.

As input I have an array of Cartesian coordinates (X, Y). I need to convert it to some function (object) which allow me to get a curvature of path, X, Y as functions of path length.
Also there is a issue that I have a closed path like the following:

<</matlabcentral/answers/uploaded_files/54861/closed_lap.png>>

What can I use for such task?I would like to find an approach to define a path of vehicle in path-length coordinate.

As input I have an array of Cartesian coordinates (X, Y). I need to convert it to some function (object) which allow me to get a curvature of path, X, Y as functions of path length.
Also there is a issue that I have a closed path like the following:

<</matlabcentral/answers/uploaded_files/54861/closed_lap.png>>

What can I use for such task? I would like to find an approach to define a path of vehicle in path-length coordinate.

As input I have an array of Cartesian coordinates (X, Y). I need to convert it to some function (object) which allow me to get a curvature of path, X, Y as functions of path length.
Also there is a issue that I have a closed path like the following:

<</matlabcentral/answers/uploaded_files/54861/closed_lap.png>>

What can I use for such task? spline, path MATLAB Answers — New Questions

​

I am a newcomer to matlab,I want to use the Galerkin method with the hat function as the set of basis functions to calculate the solution to the linear two-point BVP :

The hat knots are evenly distributed with the interval h = 1/20 and 1/40.
Compare the results to those of the exact solution, , to evaluate the order of accuracy using
the absolute errors for the two knot intervals.
Hope someone can teach or guide me how to do it .I am a newcomer to matlab,I want to use the Galerkin method with the hat function as the set of basis functions to calculate the solution to the linear two-point BVP :

The hat knots are evenly distributed with the interval h = 1/20 and 1/40.
Compare the results to those of the exact solution, , to evaluate the order of accuracy using
the absolute errors for the two knot intervals.
Hope someone can teach or guide me how to do it . I am a newcomer to matlab,I want to use the Galerkin method with the hat function as the set of basis functions to calculate the solution to the linear two-point BVP :

The hat knots are evenly distributed with the interval h = 1/20 and 1/40.
Compare the results to those of the exact solution, , to evaluate the order of accuracy using
the absolute errors for the two knot intervals.
Hope someone can teach or guide me how to do it . galerkin, hat function MATLAB Answers — New Questions

​

Hi all,

I have a question regarding matrix manipulation in MATLAB.

My scenario is as follows:

I have a set of GPS coordinates, which I have converted into relative meters using an algorithm. These coordinates correspond to locations on a farm which I have gathered data for using a video camera, and roughly correspond to a standard "go up one row, go down the next" path.

For each coordinate, I also have an image at that coordinate, which I am using to identify the location of weeds.

From the GPS coordinates, which are simple X-Y points, I can generate a matrix. The matrix would likely be a roughly 2000×2000 size matrix, where a cell would have a value of 1 if there was a GPS point identifying that the tractor had been on that spot.

The images are 800x600x3 color images.

What I want to be able to do, is take the images, and, using the matrix I made from the GPS coordinates, somehow combine all images together into one large image.

If the images were distinct, then this would not be as big of an issue, as I could generate an 800x600x3 matrix at each cell of the 2000×2000 matrix. This would be a rather large matrix, however, it would accomplish the task.

However, the GPS coordinates are such that an image might overlap to a certain extent with the images adjacent to it.

Can anyone suggest any ways I can accomplish what I am trying to do? The end result simply needs to be a large image I can look at, which will show me the entirety of my farm land, using the images which I have taken.Hi all,

I have a question regarding matrix manipulation in MATLAB.

My scenario is as follows:

I have a set of GPS coordinates, which I have converted into relative meters using an algorithm. These coordinates correspond to locations on a farm which I have gathered data for using a video camera, and roughly correspond to a standard "go up one row, go down the next" path.

For each coordinate, I also have an image at that coordinate, which I am using to identify the location of weeds.

From the GPS coordinates, which are simple X-Y points, I can generate a matrix. The matrix would likely be a roughly 2000×2000 size matrix, where a cell would have a value of 1 if there was a GPS point identifying that the tractor had been on that spot.

The images are 800x600x3 color images.

What I want to be able to do, is take the images, and, using the matrix I made from the GPS coordinates, somehow combine all images together into one large image.

If the images were distinct, then this would not be as big of an issue, as I could generate an 800x600x3 matrix at each cell of the 2000×2000 matrix. This would be a rather large matrix, however, it would accomplish the task.

However, the GPS coordinates are such that an image might overlap to a certain extent with the images adjacent to it.

Can anyone suggest any ways I can accomplish what I am trying to do? The end result simply needs to be a large image I can look at, which will show me the entirety of my farm land, using the images which I have taken. Hi all,

I have a question regarding matrix manipulation in MATLAB.

My scenario is as follows:

I have a set of GPS coordinates, which I have converted into relative meters using an algorithm. These coordinates correspond to locations on a farm which I have gathered data for using a video camera, and roughly correspond to a standard "go up one row, go down the next" path.

For each coordinate, I also have an image at that coordinate, which I am using to identify the location of weeds.

From the GPS coordinates, which are simple X-Y points, I can generate a matrix. The matrix would likely be a roughly 2000×2000 size matrix, where a cell would have a value of 1 if there was a GPS point identifying that the tractor had been on that spot.

The images are 800x600x3 color images.

What I want to be able to do, is take the images, and, using the matrix I made from the GPS coordinates, somehow combine all images together into one large image.

If the images were distinct, then this would not be as big of an issue, as I could generate an 800x600x3 matrix at each cell of the 2000×2000 matrix. This would be a rather large matrix, however, it would accomplish the task.

However, the GPS coordinates are such that an image might overlap to a certain extent with the images adjacent to it.

Can anyone suggest any ways I can accomplish what I am trying to do? The end result simply needs to be a large image I can look at, which will show me the entirety of my farm land, using the images which I have taken. matrix manipulation, image processing MATLAB Answers — New Questions

​

May I ask how to use MATLAB code to build an ECA module? The ECA module can refer to this paper: ECA Net: Efficient Channel Attention for Deep Convolutional Neural Networks.
Paper address: https://arxiv.org/abs/1910.03151May I ask how to use MATLAB code to build an ECA module? The ECA module can refer to this paper: ECA Net: Efficient Channel Attention for Deep Convolutional Neural Networks.
Paper address: https://arxiv.org/abs/1910.03151 May I ask how to use MATLAB code to build an ECA module? The ECA module can refer to this paper: ECA Net: Efficient Channel Attention for Deep Convolutional Neural Networks.
Paper address: https://arxiv.org/abs/1910.03151 eca-net, attention mechanism MATLAB Answers — New Questions

​

I am currently trying to find the global minimum for a strain-energy-function ("Holzapfel-Model") and I am running into multiple problems:
The SEF has the form
With
We can calculate , where
We want to determine the minimum of the least-square function

My solution was to put all these equations into one long one:
fun = @(x) sum((sigma_11 – (lambda_1.^2 – lambda_2.^2 .* lambda_1.^2).*x(1) + 2 .*lambda_1.^2 .*cos(x(4))^2 .* (2.*x(2).*((lambda_1.^2 .* cos(x(4))^2 + lambda_2.^2 .* sin(x(4))^2) – 1) .* exp(x(2).*((lambda_1.^2 .* cos(x(4))^2 + lambda_2.^2 .* sin(x(4))^2)-1).^2))).^2 + (sigma_22 – (lambda_2.^2 – lambda_2.^2 .* lambda_1.^2).*x(1) + 2 .*lambda_2.^2 .*sin(x(4))^2 .* (2.*x(2).*((lambda_1.^2 .* cos(x(4))^2 + lambda_2.^2 .* sin(x(4))^2) – 1) .* exp(x(2).*((lambda_1.^2 .* cos(x(4))^2 + lambda_2.^2 .* sin(x(4))^2)-1).^2))).^2)

and then use the following parameters
x0 = [15,500,12,0.75*pi];
A = [];
b = [];
Aeq = [];
beq = [];
lb = [0,0,0,0];
ub = [inf, inf, inf, pi];
chi = fmincon(fun, x0,A,b,Aeq,beq,lb,ub,nonlcon)
function [c,ceq] = nonlcon(x,lambda_1,lambda_2)
c =1-(lambda_1.^2 .* cos(x(4)).^2 + lambda_2.^2 * sin(x(4)).^2) ;
ceq = [];
end
With these parameters, I can somewhat get close to my data points.
Now my questions:
I don’t think I understood c,ceq correctly. I used c to account for the constraint on I4, but I’m not sure if this was the right way to do it.
With the initial guess for x0, I can get close but it never seems to approach my curve nearly enough. How do I know if I have a good starting guess, and is fmincon even the right approach for this problem.
I have multiple data sets, for different stretch ratios (lambda_1:lambda_2: 1-1, 1-0.75, 0.75-1, 1-0.5,0.5-1) and since they are the same sample, I would like to use those datas to get one set of parameters for all of them. I tried to put all my data into a single vector, (1:30 would be the first data set, 31:^60 the second,…). This does not seem to work well. Should I find the solution for just one curve and than try to average over the parameters? As you guys can see, I am doing this parameter evaluation thing the first time ever and I would greatly appreciate help.I am currently trying to find the global minimum for a strain-energy-function ("Holzapfel-Model") and I am running into multiple problems:
The SEF has the form
With
We can calculate , where
We want to determine the minimum of the least-square function

My solution was to put all these equations into one long one:
fun = @(x) sum((sigma_11 – (lambda_1.^2 – lambda_2.^2 .* lambda_1.^2).*x(1) + 2 .*lambda_1.^2 .*cos(x(4))^2 .* (2.*x(2).*((lambda_1.^2 .* cos(x(4))^2 + lambda_2.^2 .* sin(x(4))^2) – 1) .* exp(x(2).*((lambda_1.^2 .* cos(x(4))^2 + lambda_2.^2 .* sin(x(4))^2)-1).^2))).^2 + (sigma_22 – (lambda_2.^2 – lambda_2.^2 .* lambda_1.^2).*x(1) + 2 .*lambda_2.^2 .*sin(x(4))^2 .* (2.*x(2).*((lambda_1.^2 .* cos(x(4))^2 + lambda_2.^2 .* sin(x(4))^2) – 1) .* exp(x(2).*((lambda_1.^2 .* cos(x(4))^2 + lambda_2.^2 .* sin(x(4))^2)-1).^2))).^2)

and then use the following parameters
x0 = [15,500,12,0.75*pi];
A = [];
b = [];
Aeq = [];
beq = [];
lb = [0,0,0,0];
ub = [inf, inf, inf, pi];
chi = fmincon(fun, x0,A,b,Aeq,beq,lb,ub,nonlcon)
function [c,ceq] = nonlcon(x,lambda_1,lambda_2)
c =1-(lambda_1.^2 .* cos(x(4)).^2 + lambda_2.^2 * sin(x(4)).^2) ;
ceq = [];
end
With these parameters, I can somewhat get close to my data points.
Now my questions:
I don’t think I understood c,ceq correctly. I used c to account for the constraint on I4, but I’m not sure if this was the right way to do it.
With the initial guess for x0, I can get close but it never seems to approach my curve nearly enough. How do I know if I have a good starting guess, and is fmincon even the right approach for this problem.
I have multiple data sets, for different stretch ratios (lambda_1:lambda_2: 1-1, 1-0.75, 0.75-1, 1-0.5,0.5-1) and since they are the same sample, I would like to use those datas to get one set of parameters for all of them. I tried to put all my data into a single vector, (1:30 would be the first data set, 31:^60 the second,…). This does not seem to work well. Should I find the solution for just one curve and than try to average over the parameters? As you guys can see, I am doing this parameter evaluation thing the first time ever and I would greatly appreciate help. I am currently trying to find the global minimum for a strain-energy-function ("Holzapfel-Model") and I am running into multiple problems:
The SEF has the form
With
We can calculate , where
We want to determine the minimum of the least-square function

My solution was to put all these equations into one long one:
fun = @(x) sum((sigma_11 – (lambda_1.^2 – lambda_2.^2 .* lambda_1.^2).*x(1) + 2 .*lambda_1.^2 .*cos(x(4))^2 .* (2.*x(2).*((lambda_1.^2 .* cos(x(4))^2 + lambda_2.^2 .* sin(x(4))^2) – 1) .* exp(x(2).*((lambda_1.^2 .* cos(x(4))^2 + lambda_2.^2 .* sin(x(4))^2)-1).^2))).^2 + (sigma_22 – (lambda_2.^2 – lambda_2.^2 .* lambda_1.^2).*x(1) + 2 .*lambda_2.^2 .*sin(x(4))^2 .* (2.*x(2).*((lambda_1.^2 .* cos(x(4))^2 + lambda_2.^2 .* sin(x(4))^2) – 1) .* exp(x(2).*((lambda_1.^2 .* cos(x(4))^2 + lambda_2.^2 .* sin(x(4))^2)-1).^2))).^2)

and then use the following parameters
x0 = [15,500,12,0.75*pi];
A = [];
b = [];
Aeq = [];
beq = [];
lb = [0,0,0,0];
ub = [inf, inf, inf, pi];
chi = fmincon(fun, x0,A,b,Aeq,beq,lb,ub,nonlcon)
function [c,ceq] = nonlcon(x,lambda_1,lambda_2)
c =1-(lambda_1.^2 .* cos(x(4)).^2 + lambda_2.^2 * sin(x(4)).^2) ;
ceq = [];
end
With these parameters, I can somewhat get close to my data points.
Now my questions:
I don’t think I understood c,ceq correctly. I used c to account for the constraint on I4, but I’m not sure if this was the right way to do it.
With the initial guess for x0, I can get close but it never seems to approach my curve nearly enough. How do I know if I have a good starting guess, and is fmincon even the right approach for this problem.
I have multiple data sets, for different stretch ratios (lambda_1:lambda_2: 1-1, 1-0.75, 0.75-1, 1-0.5,0.5-1) and since they are the same sample, I would like to use those datas to get one set of parameters for all of them. I tried to put all my data into a single vector, (1:30 would be the first data set, 31:^60 the second,…). This does not seem to work well. Should I find the solution for just one curve and than try to average over the parameters? As you guys can see, I am doing this parameter evaluation thing the first time ever and I would greatly appreciate help. fmincon, nonlinear, curve fitting, optimization MATLAB Answers — New Questions

​

Hello,
it should be a ridiculously trivial task, but I have to admit I’ve been stuck on it for a few months. Sadly, I’m not very good at Python either, so I’m coming here.

Assume that I have some circuit like the one below:
I want to read and parse a netlist such that I create a digraph object, which can later be used for testing subgraphs being a spanning tree and alike graph theoretic features. Prsing a netlist posses no difficulty, but it looks like the digraph function does not care about the order in my input cells and when I plot the graph, it is labeled wrongly.
I have spent weeks on it with no result. Can you see a easy solution how to turn it into a graph object and plot it accordingly?
Code below produces obvisouly wrong plot, for instance resistors, while the topoogy seems to be idnetified correctly. Edges/Nodes are mislabeled.

clear
close all
clc

netlist = {
‘R1 N001 0 R’;
‘R2 N002 N001 R’;
‘R3 0 N002 R’;
‘C1 N002 N001 C’;
‘C2 N001 0 C’;
‘C3 N002 0 C’;
‘L1 N002 N001 L’;
‘L2 0 N001 L’;
‘L3 0 N002 L’
};
elements = {};
sourceNodes = {};
targetNodes = {};
labels = {};
for i = 1:length(netlist)
parts = strsplit(netlist{i});
elements{end+1} = parts{1};
sourceNodes{end+1} = parts{2};
targetNodes{end+1} = parts{3};
labels{end+1} = [parts{4} ‘ – ‘ parts{1}];
end
edgeTable = table(sourceNodes’, targetNodes’, labels’, ‘VariableNames’, {‘EndNodes’, ‘EndNodes2’, ‘Label’});
G = digraph(edgeTable.EndNodes, edgeTable.EndNodes2);
G.Edges.Label = edgeTable.Label;
h = plot(G, ‘EdgeLabel’, G.Edges.Label, ‘NodeLabel’, G.Nodes.Name, ‘Layout’, ‘force’);Hello,
it should be a ridiculously trivial task, but I have to admit I’ve been stuck on it for a few months. Sadly, I’m not very good at Python either, so I’m coming here.

Assume that I have some circuit like the one below:
I want to read and parse a netlist such that I create a digraph object, which can later be used for testing subgraphs being a spanning tree and alike graph theoretic features. Prsing a netlist posses no difficulty, but it looks like the digraph function does not care about the order in my input cells and when I plot the graph, it is labeled wrongly.
I have spent weeks on it with no result. Can you see a easy solution how to turn it into a graph object and plot it accordingly?
Code below produces obvisouly wrong plot, for instance resistors, while the topoogy seems to be idnetified correctly. Edges/Nodes are mislabeled.

clear
close all
clc

netlist = {
‘R1 N001 0 R’;
‘R2 N002 N001 R’;
‘R3 0 N002 R’;
‘C1 N002 N001 C’;
‘C2 N001 0 C’;
‘C3 N002 0 C’;
‘L1 N002 N001 L’;
‘L2 0 N001 L’;
‘L3 0 N002 L’
};
elements = {};
sourceNodes = {};
targetNodes = {};
labels = {};
for i = 1:length(netlist)
parts = strsplit(netlist{i});
elements{end+1} = parts{1};
sourceNodes{end+1} = parts{2};
targetNodes{end+1} = parts{3};
labels{end+1} = [parts{4} ‘ – ‘ parts{1}];
end
edgeTable = table(sourceNodes’, targetNodes’, labels’, ‘VariableNames’, {‘EndNodes’, ‘EndNodes2’, ‘Label’});
G = digraph(edgeTable.EndNodes, edgeTable.EndNodes2);
G.Edges.Label = edgeTable.Label;
h = plot(G, ‘EdgeLabel’, G.Edges.Label, ‘NodeLabel’, G.Nodes.Name, ‘Layout’, ‘force’); Hello,
it should be a ridiculously trivial task, but I have to admit I’ve been stuck on it for a few months. Sadly, I’m not very good at Python either, so I’m coming here.

Assume that I have some circuit like the one below:
I want to read and parse a netlist such that I create a digraph object, which can later be used for testing subgraphs being a spanning tree and alike graph theoretic features. Prsing a netlist posses no difficulty, but it looks like the digraph function does not care about the order in my input cells and when I plot the graph, it is labeled wrongly.
I have spent weeks on it with no result. Can you see a easy solution how to turn it into a graph object and plot it accordingly?
Code below produces obvisouly wrong plot, for instance resistors, while the topoogy seems to be idnetified correctly. Edges/Nodes are mislabeled.

clear
close all
clc

netlist = {
‘R1 N001 0 R’;
‘R2 N002 N001 R’;
‘R3 0 N002 R’;
‘C1 N002 N001 C’;
‘C2 N001 0 C’;
‘C3 N002 0 C’;
‘L1 N002 N001 L’;
‘L2 0 N001 L’;
‘L3 0 N002 L’
};
elements = {};
sourceNodes = {};
targetNodes = {};
labels = {};
for i = 1:length(netlist)
parts = strsplit(netlist{i});
elements{end+1} = parts{1};
sourceNodes{end+1} = parts{2};
targetNodes{end+1} = parts{3};
labels{end+1} = [parts{4} ‘ – ‘ parts{1}];
end
edgeTable = table(sourceNodes’, targetNodes’, labels’, ‘VariableNames’, {‘EndNodes’, ‘EndNodes2’, ‘Label’});
G = digraph(edgeTable.EndNodes, edgeTable.EndNodes2);
G.Edges.Label = edgeTable.Label;
h = plot(G, ‘EdgeLabel’, G.Edges.Label, ‘NodeLabel’, G.Nodes.Name, ‘Layout’, ‘force’); digraph, circuit, netlist, spanning tree, graph plotting, spice MATLAB Answers — New Questions

​

I want to solve PEB minimization problem in sort of RIS problem. So I have formulated SDP problem via ‘CVX’ and at the end of the CVX formulation, using built-in svd(or svds) function to extract RIS phase profile matrix F(with size M times T, M=# of RIS elements and T is # of transmissions). Optimal solution of CVX is X which has size M by M. And X is FF^H. From X F is extracted by using svds as size of M by T.
The code is below,

M = signal.M;
T = signal.T;
% k-th column of identity matrix
e1 = [1; 0; 0];
e2 = [0; 1; 0];
e3 = [0; 0; 1];

% define optimization problem
cvx_begin sdp
variable X(M, M) hermitian
variable u(3, 1)

minimize(sum(u))

subject to
[J_car(1:3, 1:3), e1; e1′, u(1)] >= 0;
[J_car(1:3, 1:3), e2; e2′, u(2)] >= 0;
[J_car(1:3, 1:3), e3; e3′, u(3)] >= 0;
trace(X) == M * T;
X >= 0;

cvx_end

optimX = X;
[U, S, V] = svds(optimX, T);

num_singular_values = min(size(S, 1), T);
optimF = U(:, 1:num_singular_values) * sqrt(S(1:num_singular_values, 1:num_singular_values));
end

and the optimization problem is:

Then my questions are:
Is it correct method using ‘svd’ to extract F(size M by T) from optimal solution X?
If not, what method can I try to? If possible, comment breif code for it.
It is not programming issue, but about mathematical, Is sum of all elements in auxiliary variable(objective for (12)) same as objective for (11)?I want to solve PEB minimization problem in sort of RIS problem. So I have formulated SDP problem via ‘CVX’ and at the end of the CVX formulation, using built-in svd(or svds) function to extract RIS phase profile matrix F(with size M times T, M=# of RIS elements and T is # of transmissions). Optimal solution of CVX is X which has size M by M. And X is FF^H. From X F is extracted by using svds as size of M by T.
The code is below,

M = signal.M;
T = signal.T;
% k-th column of identity matrix
e1 = [1; 0; 0];
e2 = [0; 1; 0];
e3 = [0; 0; 1];

% define optimization problem
cvx_begin sdp
variable X(M, M) hermitian
variable u(3, 1)

minimize(sum(u))

subject to
[J_car(1:3, 1:3), e1; e1′, u(1)] >= 0;
[J_car(1:3, 1:3), e2; e2′, u(2)] >= 0;
[J_car(1:3, 1:3), e3; e3′, u(3)] >= 0;
trace(X) == M * T;
X >= 0;

cvx_end

optimX = X;
[U, S, V] = svds(optimX, T);

num_singular_values = min(size(S, 1), T);
optimF = U(:, 1:num_singular_values) * sqrt(S(1:num_singular_values, 1:num_singular_values));
end

and the optimization problem is:

Then my questions are:
Is it correct method using ‘svd’ to extract F(size M by T) from optimal solution X?
If not, what method can I try to? If possible, comment breif code for it.
It is not programming issue, but about mathematical, Is sum of all elements in auxiliary variable(objective for (12)) same as objective for (11)? I want to solve PEB minimization problem in sort of RIS problem. So I have formulated SDP problem via ‘CVX’ and at the end of the CVX formulation, using built-in svd(or svds) function to extract RIS phase profile matrix F(with size M times T, M=# of RIS elements and T is # of transmissions). Optimal solution of CVX is X which has size M by M. And X is FF^H. From X F is extracted by using svds as size of M by T.
The code is below,

M = signal.M;
T = signal.T;
% k-th column of identity matrix
e1 = [1; 0; 0];
e2 = [0; 1; 0];
e3 = [0; 0; 1];

% define optimization problem
cvx_begin sdp
variable X(M, M) hermitian
variable u(3, 1)

minimize(sum(u))

subject to
[J_car(1:3, 1:3), e1; e1′, u(1)] >= 0;
[J_car(1:3, 1:3), e2; e2′, u(2)] >= 0;
[J_car(1:3, 1:3), e3; e3′, u(3)] >= 0;
trace(X) == M * T;
X >= 0;

cvx_end

optimX = X;
[U, S, V] = svds(optimX, T);

num_singular_values = min(size(S, 1), T);
optimF = U(:, 1:num_singular_values) * sqrt(S(1:num_singular_values, 1:num_singular_values));
end

and the optimization problem is:

Then my questions are:
Is it correct method using ‘svd’ to extract F(size M by T) from optimal solution X?
If not, what method can I try to? If possible, comment breif code for it.
It is not programming issue, but about mathematical, Is sum of all elements in auxiliary variable(objective for (12)) same as objective for (11)? svd, ris, mimo, cvx, optim MATLAB Answers — New Questions

​

When running the example of "GettingStartedWithSimulinkHDLCosimExample" with Cadence Xcelium , I get these following messages.

Executing nclaunch tclstart commands…
xmsim(64): 22.09-s004: (c) Copyright 1995-2022 Cadence Design Systems, Inc.
xmsim: *W,NOMTDGUI: Multi-Threaded Dumping is disabled for interactive debug mode.
xmsim: *E,STRPIN: Could not initialize SimVision connection: SimVision/Indago process terminated before a connection was established.
ERROR: ld.so: object ‘/tools/matlab/R2023bU1/sys/os/glnxa64/libstdc++.so.6’ from LD_PRELOAD cannot be preloaded: ignored.
ERROR: ld.so: object ‘/tools/matlab/R2023bU1/sys/os/glnxa64/libstdc++.so.6’ from LD_PRELOAD cannot be preloaded: ignored.
ERROR: ld.so: object ‘/tools/matlab/R2023bU1/sys/os/glnxa64/libstdc++.so.6’ from LD_PRELOAD cannot be preloaded: ignored.
ERROR: ld.so: object ‘/tools/matlab/R2023bU1/sys/os/glnxa64/libstdc++.so.6’ from LD_PRELOAD cannot be preloaded: ignored.
ERROR: ld.so: object ‘/tools/matlab/R2023bU1/sys/os/glnxa64/libstdc++.so.6’ from LD_PRELOAD cannot be preloaded: ignored.
ERROR: ld.so: object ‘/tools/matlab/R2023bU1/sys/os/glnxa64/libstdc++.so.6’ from LD_PRELOAD cannot be preloaded: ignored.
ERROR: ld.so: object ‘/tools/matlab/R2023bU1/sys/os/glnxa64/libstdc++.so.6’ from LD_PRELOAD cannot be preloaded: ignored.
ERROR: ld.so: object ‘/tools/matlab/R2023bU1/sys/os/glnxa64/libstdc++.so.6’ from LD_PRELOAD cannot be preloaded: ignored.
/tools/cds/xceliummain_22.09.004_Linux/tools.lnx86/simvision/bin/64bit/simvision: line 48: cds_plat: command not found
/tools/cds/xceliummain_22.09.004_Linux/tools.lnx86/simvision/bin/64bit/simvision: line 101: /tools/cds/xceliummain_22.09.004_Linux/tools./simvision/bin/64bit/simvision.exe: No such file or directory
SimVision/Indago process terminated before a connection could be established.
while executing
"exec <@stdin >@stdout xmsim -gui rcosflt_rtl -64bit -input {@simvision {set w [waveform new]}} -input {@simvision {waveform add -using $w -signals rco…"
("uplevel" body line 1)
invoked from within
"uplevel 1 [join $args]"
(procedure "hdlsimulink" line 22)
invoked from within
"hdlsimulink rcosflt_rtl -64bit -socket 44014 -input "{@simvision {set w [waveform new]}}" -input "{@simvision {waveform add -using $w -signals rc…"
(file "compile_and_launch.tcl" line 66)
ERROR hit any key to exit xterm

Could you please guide me how to set up cosimulation with Cadence Xcelium?When running the example of "GettingStartedWithSimulinkHDLCosimExample" with Cadence Xcelium , I get these following messages.

Executing nclaunch tclstart commands…
xmsim(64): 22.09-s004: (c) Copyright 1995-2022 Cadence Design Systems, Inc.
xmsim: *W,NOMTDGUI: Multi-Threaded Dumping is disabled for interactive debug mode.
xmsim: *E,STRPIN: Could not initialize SimVision connection: SimVision/Indago process terminated before a connection was established.
ERROR: ld.so: object ‘/tools/matlab/R2023bU1/sys/os/glnxa64/libstdc++.so.6’ from LD_PRELOAD cannot be preloaded: ignored.
ERROR: ld.so: object ‘/tools/matlab/R2023bU1/sys/os/glnxa64/libstdc++.so.6’ from LD_PRELOAD cannot be preloaded: ignored.
ERROR: ld.so: object ‘/tools/matlab/R2023bU1/sys/os/glnxa64/libstdc++.so.6’ from LD_PRELOAD cannot be preloaded: ignored.
ERROR: ld.so: object ‘/tools/matlab/R2023bU1/sys/os/glnxa64/libstdc++.so.6’ from LD_PRELOAD cannot be preloaded: ignored.
ERROR: ld.so: object ‘/tools/matlab/R2023bU1/sys/os/glnxa64/libstdc++.so.6’ from LD_PRELOAD cannot be preloaded: ignored.
ERROR: ld.so: object ‘/tools/matlab/R2023bU1/sys/os/glnxa64/libstdc++.so.6’ from LD_PRELOAD cannot be preloaded: ignored.
ERROR: ld.so: object ‘/tools/matlab/R2023bU1/sys/os/glnxa64/libstdc++.so.6’ from LD_PRELOAD cannot be preloaded: ignored.
ERROR: ld.so: object ‘/tools/matlab/R2023bU1/sys/os/glnxa64/libstdc++.so.6’ from LD_PRELOAD cannot be preloaded: ignored.
/tools/cds/xceliummain_22.09.004_Linux/tools.lnx86/simvision/bin/64bit/simvision: line 48: cds_plat: command not found
/tools/cds/xceliummain_22.09.004_Linux/tools.lnx86/simvision/bin/64bit/simvision: line 101: /tools/cds/xceliummain_22.09.004_Linux/tools./simvision/bin/64bit/simvision.exe: No such file or directory
SimVision/Indago process terminated before a connection could be established.
while executing
"exec <@stdin >@stdout xmsim -gui rcosflt_rtl -64bit -input {@simvision {set w [waveform new]}} -input {@simvision {waveform add -using $w -signals rco…"
("uplevel" body line 1)
invoked from within
"uplevel 1 [join $args]"
(procedure "hdlsimulink" line 22)
invoked from within
"hdlsimulink rcosflt_rtl -64bit -socket 44014 -input "{@simvision {set w [waveform new]}}" -input "{@simvision {waveform add -using $w -signals rc…"
(file "compile_and_launch.tcl" line 66)
ERROR hit any key to exit xterm

Could you please guide me how to set up cosimulation with Cadence Xcelium? When running the example of "GettingStartedWithSimulinkHDLCosimExample" with Cadence Xcelium , I get these following messages.

Executing nclaunch tclstart commands…
xmsim(64): 22.09-s004: (c) Copyright 1995-2022 Cadence Design Systems, Inc.
xmsim: *W,NOMTDGUI: Multi-Threaded Dumping is disabled for interactive debug mode.
xmsim: *E,STRPIN: Could not initialize SimVision connection: SimVision/Indago process terminated before a connection was established.
ERROR: ld.so: object ‘/tools/matlab/R2023bU1/sys/os/glnxa64/libstdc++.so.6’ from LD_PRELOAD cannot be preloaded: ignored.
ERROR: ld.so: object ‘/tools/matlab/R2023bU1/sys/os/glnxa64/libstdc++.so.6’ from LD_PRELOAD cannot be preloaded: ignored.
ERROR: ld.so: object ‘/tools/matlab/R2023bU1/sys/os/glnxa64/libstdc++.so.6’ from LD_PRELOAD cannot be preloaded: ignored.
ERROR: ld.so: object ‘/tools/matlab/R2023bU1/sys/os/glnxa64/libstdc++.so.6’ from LD_PRELOAD cannot be preloaded: ignored.
ERROR: ld.so: object ‘/tools/matlab/R2023bU1/sys/os/glnxa64/libstdc++.so.6’ from LD_PRELOAD cannot be preloaded: ignored.
ERROR: ld.so: object ‘/tools/matlab/R2023bU1/sys/os/glnxa64/libstdc++.so.6’ from LD_PRELOAD cannot be preloaded: ignored.
ERROR: ld.so: object ‘/tools/matlab/R2023bU1/sys/os/glnxa64/libstdc++.so.6’ from LD_PRELOAD cannot be preloaded: ignored.
ERROR: ld.so: object ‘/tools/matlab/R2023bU1/sys/os/glnxa64/libstdc++.so.6’ from LD_PRELOAD cannot be preloaded: ignored.
/tools/cds/xceliummain_22.09.004_Linux/tools.lnx86/simvision/bin/64bit/simvision: line 48: cds_plat: command not found
/tools/cds/xceliummain_22.09.004_Linux/tools.lnx86/simvision/bin/64bit/simvision: line 101: /tools/cds/xceliummain_22.09.004_Linux/tools./simvision/bin/64bit/simvision.exe: No such file or directory
SimVision/Indago process terminated before a connection could be established.
while executing
"exec <@stdin >@stdout xmsim -gui rcosflt_rtl -64bit -input {@simvision {set w [waveform new]}} -input {@simvision {waveform add -using $w -signals rco…"
("uplevel" body line 1)
invoked from within
"uplevel 1 [join $args]"
(procedure "hdlsimulink" line 22)
invoked from within
"hdlsimulink rcosflt_rtl -64bit -socket 44014 -input "{@simvision {set w [waveform new]}}" -input "{@simvision {waveform add -using $w -signals rc…"
(file "compile_and_launch.tcl" line 66)
ERROR hit any key to exit xterm

Could you please guide me how to set up cosimulation with Cadence Xcelium? cosimulation, cadence, hldverifier MATLAB Answers — New Questions

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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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