From a set of data, I could easily obtain a curve fit using curveFitter. The fit is of the interpolant type, using linear method. From what I understand, the underlying method is linear triangular interpolation. But then, I’m unable to get the internal data of the model. I mean, there should be triangle boundaries, coefficients and other constants describing the triangular pieces of surface that approximate my data set, but I was unable to read them from the obtained fit.
So, for this particular fit (linear interpolant), how to get the inside data?From a set of data, I could easily obtain a curve fit using curveFitter. The fit is of the interpolant type, using linear method. From what I understand, the underlying method is linear triangular interpolation. But then, I’m unable to get the internal data of the model. I mean, there should be triangle boundaries, coefficients and other constants describing the triangular pieces of surface that approximate my data set, but I was unable to read them from the obtained fit.
So, for this particular fit (linear interpolant), how to get the inside data? From a set of data, I could easily obtain a curve fit using curveFitter. The fit is of the interpolant type, using linear method. From what I understand, the underlying method is linear triangular interpolation. But then, I’m unable to get the internal data of the model. I mean, there should be triangle boundaries, coefficients and other constants describing the triangular pieces of surface that approximate my data set, but I was unable to read them from the obtained fit.
So, for this particular fit (linear interpolant), how to get the inside data? curve fitting, interpolant, linear MATLAB Answers — New Questions

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I tried to save a machine learning model into a .mat file, and then read it from a Qt/C++ application. Following the documentation, I managed to read files containing basic types like double or int. As my model is of type ‘classreg.learning.classif.CompactClassificationSVM’, I wonder if it is still possible to read it.
As and example, i saved this iosnosphere model on matlab
load ionosphere
SVMModel = fitcsvm(X,Y,’Standardize’,true,’ClassNames’,{‘b’,’g’})
CompactSVMModel = compact(SVMModel)
save("CompactSVMModel.mat", "CompactSVMModel")
I imported the relevant library in the CMakeLists.txt
find_package(Matlab "x.xx" EXACT COMPONENTS "MX_LIBRARY" "MAT_LIBRARY" "DATAARRAY_LIBRARY" )
target_link_libraries(target PRIVATE Matlab::mat )
I used the "mat.h" library to open and read the data.
#include "mat.h"

int main () {
std::string stdFilename = "/filepath/CompactSVMModel.mat";
const char *variableName = "CompactSVMModel";

// Open the MAT-File
MATFile *matFile = matOpen(stdFilename.c_str(), "r");
if (!matFile) {
qDebug() << "Error opening MAT file: " << stdFilename;
}

// Read the variable from the MAT-File
mxArray *dataArray = matGetVariable(matFile, variableName);
if (!dataArray) {
qDebug() << "Error reading variable: " << variableName << " from MAT file: " << stdFilename;
}

…
// read a save the diffrent fields into containers

return 0;
}
At the first if statement, matFile is NULL.I tried to save a machine learning model into a .mat file, and then read it from a Qt/C++ application. Following the documentation, I managed to read files containing basic types like double or int. As my model is of type ‘classreg.learning.classif.CompactClassificationSVM’, I wonder if it is still possible to read it.
As and example, i saved this iosnosphere model on matlab
load ionosphere
SVMModel = fitcsvm(X,Y,’Standardize’,true,’ClassNames’,{‘b’,’g’})
CompactSVMModel = compact(SVMModel)
save("CompactSVMModel.mat", "CompactSVMModel")
I imported the relevant library in the CMakeLists.txt
find_package(Matlab "x.xx" EXACT COMPONENTS "MX_LIBRARY" "MAT_LIBRARY" "DATAARRAY_LIBRARY" )
target_link_libraries(target PRIVATE Matlab::mat )
I used the "mat.h" library to open and read the data.
#include "mat.h"

int main () {
std::string stdFilename = "/filepath/CompactSVMModel.mat";
const char *variableName = "CompactSVMModel";

// Open the MAT-File
MATFile *matFile = matOpen(stdFilename.c_str(), "r");
if (!matFile) {
qDebug() << "Error opening MAT file: " << stdFilename;
}

// Read the variable from the MAT-File
mxArray *dataArray = matGetVariable(matFile, variableName);
if (!dataArray) {
qDebug() << "Error reading variable: " << variableName << " from MAT file: " << stdFilename;
}

…
// read a save the diffrent fields into containers

return 0;
}
At the first if statement, matFile is NULL. I tried to save a machine learning model into a .mat file, and then read it from a Qt/C++ application. Following the documentation, I managed to read files containing basic types like double or int. As my model is of type ‘classreg.learning.classif.CompactClassificationSVM’, I wonder if it is still possible to read it.
As and example, i saved this iosnosphere model on matlab
load ionosphere
SVMModel = fitcsvm(X,Y,’Standardize’,true,’ClassNames’,{‘b’,’g’})
CompactSVMModel = compact(SVMModel)
save("CompactSVMModel.mat", "CompactSVMModel")
I imported the relevant library in the CMakeLists.txt
find_package(Matlab "x.xx" EXACT COMPONENTS "MX_LIBRARY" "MAT_LIBRARY" "DATAARRAY_LIBRARY" )
target_link_libraries(target PRIVATE Matlab::mat )
I used the "mat.h" library to open and read the data.
#include "mat.h"

int main () {
std::string stdFilename = "/filepath/CompactSVMModel.mat";
const char *variableName = "CompactSVMModel";

// Open the MAT-File
MATFile *matFile = matOpen(stdFilename.c_str(), "r");
if (!matFile) {
qDebug() << "Error opening MAT file: " << stdFilename;
}

// Read the variable from the MAT-File
mxArray *dataArray = matGetVariable(matFile, variableName);
if (!dataArray) {
qDebug() << "Error reading variable: " << variableName << " from MAT file: " << stdFilename;
}

…
// read a save the diffrent fields into containers

return 0;
}
At the first if statement, matFile is NULL. matlab, c++, machine learning, matrix MATLAB Answers — New Questions

​

Dear,
I am trying to run a simulink model in m-code while optimizing ADRC parameters with PSO, but I get an error：
‘Returning workspace outputs is supported with only single return argument’.
The first figure is ‘PSO_ADRC’ code and the second figure is the simulink model ‘ADRC_test’.
Hope someone can help me, thanks.Dear,
I am trying to run a simulink model in m-code while optimizing ADRC parameters with PSO, but I get an error：
‘Returning workspace outputs is supported with only single return argument’.
The first figure is ‘PSO_ADRC’ code and the second figure is the simulink model ‘ADRC_test’.
Hope someone can help me, thanks. Dear,
I am trying to run a simulink model in m-code while optimizing ADRC parameters with PSO, but I get an error：
‘Returning workspace outputs is supported with only single return argument’.
The first figure is ‘PSO_ADRC’ code and the second figure is the simulink model ‘ADRC_test’.
Hope someone can help me, thanks. simulink, matlab MATLAB Answers — New Questions

​

hello there,
i am trying to build something like this:

if true
function x = first
x = 5*y
function y = nested
I = @(x) x^2
y = integral(I,0,1)
end
end
end
but there occurs an error stating: ‘Error: Function definitions are not permitted in this context.’
Does anyone know an alternative or sees the misstake i made?
thanks!hello there,
i am trying to build something like this:

if true
function x = first
x = 5*y
function y = nested
I = @(x) x^2
y = integral(I,0,1)
end
end
end
but there occurs an error stating: ‘Error: Function definitions are not permitted in this context.’
Does anyone know an alternative or sees the misstake i made?
thanks! hello there,
i am trying to build something like this:

if true
function x = first
x = 5*y
function y = nested
I = @(x) x^2
y = integral(I,0,1)
end
end
end
but there occurs an error stating: ‘Error: Function definitions are not permitted in this context.’
Does anyone know an alternative or sees the misstake i made?
thanks! integral, nested functions, passing results MATLAB Answers — New Questions

​

I have a 10X1 vector A=[1;3;7;10;12;14;15;18;20;21] and a 10X1 vector B=[3;12;15;18;20;0;0;0;0;0]. Is there a way to come up with a 10X2 vector C such that the equal elements in each vector sit at the same row in vector C? I want to retain all elements of vector A in vector C and keep only the elements from vector B that have values equal to the one elements in vector A. Ideally, My final vector C would look something like this:
C=[1 0;3 3;7 0;10 0;12 12;14 0;15 15;18 18;20 20;21 0]. Any thoughts?I have a 10X1 vector A=[1;3;7;10;12;14;15;18;20;21] and a 10X1 vector B=[3;12;15;18;20;0;0;0;0;0]. Is there a way to come up with a 10X2 vector C such that the equal elements in each vector sit at the same row in vector C? I want to retain all elements of vector A in vector C and keep only the elements from vector B that have values equal to the one elements in vector A. Ideally, My final vector C would look something like this:
C=[1 0;3 3;7 0;10 0;12 12;14 0;15 15;18 18;20 20;21 0]. Any thoughts? I have a 10X1 vector A=[1;3;7;10;12;14;15;18;20;21] and a 10X1 vector B=[3;12;15;18;20;0;0;0;0;0]. Is there a way to come up with a 10X2 vector C such that the equal elements in each vector sit at the same row in vector C? I want to retain all elements of vector A in vector C and keep only the elements from vector B that have values equal to the one elements in vector A. Ideally, My final vector C would look something like this:
C=[1 0;3 3;7 0;10 0;12 12;14 0;15 15;18 18;20 20;21 0]. Any thoughts? merging vectors MATLAB Answers — New Questions

​

i’m doing a project to recognize kannada text,the first step says find connected components from a binarynimage.i tried doing it using bwconncomp but i’m not able to display the image.soo can u please help me with dis.i’m doing a project to recognize kannada text,the first step says find connected components from a binarynimage.i tried doing it using bwconncomp but i’m not able to display the image.soo can u please help me with dis. i’m doing a project to recognize kannada text,the first step says find connected components from a binarynimage.i tried doing it using bwconncomp but i’m not able to display the image.soo can u please help me with dis. ocr, kannada, image segmentation, connected components MATLAB Answers — New Questions

​

Hi there,
I am trying to make BER performance of LTE Turbo encoding with rate matching R = 1/2. But, when I implement symbol modulation and demodulation I can’t get BER = 0 (without any AWGN existence). This indicates that problem is in mod/demod part. I will be also great to use BPSK instead of QPSK but lteSymbolModulate doesn’t have this modulation scheme. Thank You in advance.

All best,
Mirza

Code: (credits to answer how-to-use-rate-matching-to-alter-turbo-code-rate)

clear;
K = 128;
E = 2*K;
mbits = randi([0,1],K, 1);
crc = lteCRCEncode(mbits,’24A’);
cbs = lteCodeBlockSegment(crc); % This will provide a length 4096 bits that is input to the Turbo encoder
cd = lteTurboEncode(cbs);
cdrm = lteRateMatchTurbo(cd, E, 0);
%cdrm(cdrm == 0) = -1; % Make them as LLRs
txSymbols = lteSymbolModulate(cdrm,’QPSK’);
awgnchan = comm.AWGNChannel(‘NoiseMethod’,’Variance’,’Variance’,3);
rxSymbols = txSymbols;% awgnchan(txSymbols);
softBits= lteSymbolDemodulate(rxSymbols,’QPSK’,’Soft’);
cdrx = lteRateRecoverTurbo(softBits, K, 0);
%
mhat = lteTurboDecode(cdrx); % So after the Turbo decoding, it will have 4096 bits rather than 4032 bits, due to addition of filler bits and CRC
cbshat = lteCodeBlockDesegment(mhat, K+24);
crchat = lteCRCDecode(cbshat,’24A’); % This will return the same as message length
% Check the decoded bits with message bits
[~,BER] = biterr( double(crchat),mbits);
BERHi there,
I am trying to make BER performance of LTE Turbo encoding with rate matching R = 1/2. But, when I implement symbol modulation and demodulation I can’t get BER = 0 (without any AWGN existence). This indicates that problem is in mod/demod part. I will be also great to use BPSK instead of QPSK but lteSymbolModulate doesn’t have this modulation scheme. Thank You in advance.

All best,
Mirza

Code: (credits to answer how-to-use-rate-matching-to-alter-turbo-code-rate)

clear;
K = 128;
E = 2*K;
mbits = randi([0,1],K, 1);
crc = lteCRCEncode(mbits,’24A’);
cbs = lteCodeBlockSegment(crc); % This will provide a length 4096 bits that is input to the Turbo encoder
cd = lteTurboEncode(cbs);
cdrm = lteRateMatchTurbo(cd, E, 0);
%cdrm(cdrm == 0) = -1; % Make them as LLRs
txSymbols = lteSymbolModulate(cdrm,’QPSK’);
awgnchan = comm.AWGNChannel(‘NoiseMethod’,’Variance’,’Variance’,3);
rxSymbols = txSymbols;% awgnchan(txSymbols);
softBits= lteSymbolDemodulate(rxSymbols,’QPSK’,’Soft’);
cdrx = lteRateRecoverTurbo(softBits, K, 0);
%
mhat = lteTurboDecode(cdrx); % So after the Turbo decoding, it will have 4096 bits rather than 4032 bits, due to addition of filler bits and CRC
cbshat = lteCodeBlockDesegment(mhat, K+24);
crchat = lteCRCDecode(cbshat,’24A’); % This will return the same as message length
% Check the decoded bits with message bits
[~,BER] = biterr( double(crchat),mbits);
BER Hi there,
I am trying to make BER performance of LTE Turbo encoding with rate matching R = 1/2. But, when I implement symbol modulation and demodulation I can’t get BER = 0 (without any AWGN existence). This indicates that problem is in mod/demod part. I will be also great to use BPSK instead of QPSK but lteSymbolModulate doesn’t have this modulation scheme. Thank You in advance.

All best,
Mirza

Code: (credits to answer how-to-use-rate-matching-to-alter-turbo-code-rate)

clear;
K = 128;
E = 2*K;
mbits = randi([0,1],K, 1);
crc = lteCRCEncode(mbits,’24A’);
cbs = lteCodeBlockSegment(crc); % This will provide a length 4096 bits that is input to the Turbo encoder
cd = lteTurboEncode(cbs);
cdrm = lteRateMatchTurbo(cd, E, 0);
%cdrm(cdrm == 0) = -1; % Make them as LLRs
txSymbols = lteSymbolModulate(cdrm,’QPSK’);
awgnchan = comm.AWGNChannel(‘NoiseMethod’,’Variance’,’Variance’,3);
rxSymbols = txSymbols;% awgnchan(txSymbols);
softBits= lteSymbolDemodulate(rxSymbols,’QPSK’,’Soft’);
cdrx = lteRateRecoverTurbo(softBits, K, 0);
%
mhat = lteTurboDecode(cdrx); % So after the Turbo decoding, it will have 4096 bits rather than 4032 bits, due to addition of filler bits and CRC
cbshat = lteCodeBlockDesegment(mhat, K+24);
crchat = lteCRCDecode(cbshat,’24A’); % This will return the same as message length
% Check the decoded bits with message bits
[~,BER] = biterr( double(crchat),mbits);
BER lte toolbox, lte rate match turbo MATLAB Answers — New Questions

​

i want to change certain settings in model – matlab- stateflow,
but i am facing errors
error:- issue while creating model configuration parameters dialog box, i have attached snipi want to change certain settings in model – matlab- stateflow,
but i am facing errors
error:- issue while creating model configuration parameters dialog box, i have attached snip i want to change certain settings in model – matlab- stateflow,
but i am facing errors
error:- issue while creating model configuration parameters dialog box, i have attached snip stateflow, matlab2022b MATLAB Answers — New Questions

​

We are working creating generic model which will have upto 10 input/output bus channels. But based on project we may need anything between 1 to 10 channels. How can we make configurable model which can select the inputs/outputs required.We are working creating generic model which will have upto 10 input/output bus channels. But based on project we may need anything between 1 to 10 channels. How can we make configurable model which can select the inputs/outputs required. We are working creating generic model which will have upto 10 input/output bus channels. But based on project we may need anything between 1 to 10 channels. How can we make configurable model which can select the inputs/outputs required. simulink, variant subsystem MATLAB Answers — New Questions

​

Hello
I composed a code on Ubuntu Desktop 22.04LTS using Matlab R2024a, and it takes 236 seconds to execute.
Then i compiled it into a linux app and install Matlab runtime 2024a on the same computer (bare metal, not virtual machine, i7-6790K, 16GB RAM),
but the app executed extremely slow with the Matlab runtime, after serveral loops, its outputs seens stopped, but the thread is still running.
I didn’t using Parallel Computing Toolbox in my code.Hello
I composed a code on Ubuntu Desktop 22.04LTS using Matlab R2024a, and it takes 236 seconds to execute.
Then i compiled it into a linux app and install Matlab runtime 2024a on the same computer (bare metal, not virtual machine, i7-6790K, 16GB RAM),
but the app executed extremely slow with the Matlab runtime, after serveral loops, its outputs seens stopped, but the thread is still running.
I didn’t using Parallel Computing Toolbox in my code. Hello
I composed a code on Ubuntu Desktop 22.04LTS using Matlab R2024a, and it takes 236 seconds to execute.
Then i compiled it into a linux app and install Matlab runtime 2024a on the same computer (bare metal, not virtual machine, i7-6790K, 16GB RAM),
but the app executed extremely slow with the Matlab runtime, after serveral loops, its outputs seens stopped, but the thread is still running.
I didn’t using Parallel Computing Toolbox in my code. matlab runtime, matlab, matlab compiler MATLAB Answers — New Questions

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