matlab code to c

please can anyone help me to solve this ?? m hving a matlab code convert this code into C programm

Decoding VMD algorithm

Step01: Initialization of all required parameters based on the length of the signal

Step02: Reduce edge effect by mirroring signal;

Step03: Signal frequency domain with full bandwidth

Step04: Get half of the bandwidth

Step04: FFT for initial IMFs and get half of bandwidthl;

Step05: Obtain Frequency vector

Step06: Get the initial central frequencies

Step07: Optimization iterations

Step08: Convert to time domain signal

Step09: Calculate residual

%%--------------------- Step01: --------------------------------

PenaltyFactor=100;

LMUpdateRate=0.0100;

AbsoluteTolerance=5.0000e-06;

RelativeTolerance=0.0050;

MaxIterations=1000;

InitialIMFs=zeros(length(x),5);

InitialLM=zeros(length(x)+1,1);

CentralFrequencies= [];

InitializeMethod='peaks';

FFTLength=2*length(x);

NumIMFs= 5;

SignalLength= length(x);

HalfSignalLength=length(x)/2;

MirroredSignalLength=2*length(x);

DataType= 'double';

NumHalfFreqSamples= length(x)+1;

Display= 0;

%%

nfft = FFTLength;

penaltyFactor = PenaltyFactor;

numIMFs = NumIMFs;

relativeDiff = inf;

absoluteDiff = relativeDiff;

tau = LMUpdateRate; % Lagrange multiplier update rate

%%--------------------- Step02 & Step 03-------------------------

xr = [x(HalfSignalLength:-1:1); x; x(SignalLength:-1:ceil(SignalLength/2)+1)];

y = fft(xr,FFTLength);

sigFDFull = y;

% Get half of the bandwidth

sigFD = sigFDFull(1:NumHalfFreqSamples);

%%--------------------- Step 04 --------------------------------

initIMFfdFull = fft(InitialIMFs,nfft);

initIMFfd = initIMFfdFull(1:NumHalfFreqSamples,:) + eps;

IMFfd = initIMFfd;

sumIMF = sum(IMFfd,2);

LM = InitialLM(:); % Lagrange Multiplier

%% Frequency vector from [0,0.5) for odd nfft and [0,0.5] for even nfft

%%--------------------- Step 05 --------------------------------

f = (0:(nfft/2))/nfft;

%%--------------------- Step 06 --------------------------------

%% Get the initial central frequencies

x=abs(sigFD);

BW = 2/FFTLength; % bandwidth of signal

minBWGapIndex = 2*BW/f(2);

x(x<mean(x)) = mean(x);

TF = islocalmax(x,'MinSeparation',minBWGapIndex);

pkst = x(TF);

locst = f(TF);

numpPeaks = length(pkst);

% Check for DC component

if x(1) >= x(2)

pks = zeros(numpPeaks+1,1);

locs = pks;

pks(2:length(pkst)+1) = pkst;

locs(2:length(pkst)+1) = locst;

pks(1) = x(1);

locs(1) = f(1);

else

pks = zeros(numpPeaks,1);

locs = pks;

pks(1:length(pkst)) = pkst;

locs(1:length(pkst)) = locst;

end

[~,index] = sort(pks,'descend');

centralFreq = 0.5*rand(NumIMFs,1);

% Check if the number of peaks is less than number of IMFs

if length(locs) < NumIMFs

centralFreq(1:length(locs(index))) = locs;

else

centralFreq(1:NumIMFs) = locs(index(1:NumIMFs));

end

%%

iter = 0;

f=f';

initIMFNorm = abs(initIMFfd).^2;

normIMF = zeros(size(initIMFfd,1),size(initIMFfd,2));

%%--------------------- Step 07 --------------------------------

while (iter < MaxIterations && (relativeDiff > RelativeTolerance ||...

absoluteDiff > AbsoluteTolerance))

for kk = 1:numIMFs

sumIMF = sumIMF - IMFfd(:,kk);

IMFfd(:,kk) = (sigFD - sumIMF + LM/2)./...

(1+penaltyFactor*(f - centralFreq(kk)).^2);

normIMF(:,kk) = abs(IMFfd(:,kk)).^2;

centralFreq(kk) = (f.'*normIMF(:,kk))/sum(normIMF(:,kk));

sumIMF = sumIMF + IMFfd(:,kk);

end

LM = LM + tau*(sigFD-sumIMF);

absDiff = mean(abs(IMFfd-initIMFfd).^2);

absoluteDiff = sum(absDiff);

relativeDiff = sum(absDiff./mean(initIMFNorm));

% Sort IMF and central frequecies in descend order

% In ADMM, the IMF with greater power will be substracted first

[~,sortedIndex] = sort(sum(abs(IMFfd).^2),'descend');

IMFfd = IMFfd(:,sortedIndex);

centralFreq = centralFreq(sortedIndex(1:length(centralFreq)));

initIMFfd = IMFfd;

initIMFNorm = normIMF;

iter = iter + 1;

end

%%--------------------- Step 08 --------------------------------

%% Convert to time domain signal

% Transform to time domain

IMFfdFull = complex(zeros(nfft,numIMFs));

IMFfdFull(1:size(IMFfd,1),:) = IMFfd;

if ~mod(FFTLength,2)

IMFfdFull(size(IMFfd,1)+1:end,:) = conj(IMFfd(end-1:-1:2,:));

else

IMFfdFull(size(IMFfd,1)+1:end,:) = conj(IMFfd(end:-1:2,:));

end

[~,index] = sort(centralFreq,'descend');

%%

z=IMFfdFull(:,index);

xr = real(ifft(z,FFTLength));

IMFs_without_inbuild = xr(HalfSignalLength+1:MirroredSignalLength-HalfSignalLength,:);

%%--------------------- Step 09 --------------------------------

residual_without_inbuild = PPGblr1 - sum(IMFs_without_inbuild,2);

Answer 1

[Ishaan Mehta]

Hi Nandini

I understand that you want to convert your existing MATLAB code to C code.

I suggest you to refer to Generate C Code by Using the MATLAB Coder App article for the same.

Hope this helps

Ishaan Mehta