Category : matlab

I’m trying to save .txt file of a list of arrays as follow : list_array = [array([-20.10400009, -9.94099998, -27.10300064]), array([-20.42099953, -9.91499996, -27.07099915]), … This is the line I invoked. np.savetxt(‘path/file.txt’, list_array, fmt=’%s’) This is what I get [-20.10400009 -9.94099998 -27.10300064] [-20.42099953 -9.91499996 -27.07099915] … This is what I want -20.10400009 -9.94099998 -27.10300064 -20.42099953 -9.91499996 -27.07099915 ..

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I’m trying to translate a program from matlab to python and I don’t get one piece to work. In this line of the code I’m trying to multiply 2 complex arrays: Matlab: Croco2=refAntDiag_norm’*testAntDiag_norm; Python: Croco2 = np.matmul(refAntDiag_norm.transpose(), testAntDiag_norm)) But the Outputs are different. Does anybody have an idea on how to fix this? Source: Python ..

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I’m currently trying to implement a python script for solving a constrained nonlinear optimization problem with ~800 variables and 2 constraints, one linear and one nonlinear. There already exists a Matlab implementation of this script and I’m trying to use cyipopt to implement an equivalent Python implementation that produces similar results. The Matlab code has ..

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I would like to know how to display the STFTX matrix from matlab to python (plotting) function y=STFT(x,fe,fmax) M=length(x); if mod(M,2)~=0 tw = fliplr([1:floor(M/2) -floor(M/2):0])/M; else tw = fliplr([1:floor(M/2) -floor(M/2)+1:0])/M; end Fx=fft(x); XF = [Fx Fx]; sig=0.005; wind = (1/sqrt(2*pi*sig^2))*exp(-0.5*tw.^2/(2*sig^2)); W = fft(wind); Pas=(fmax*M/fe); for f=1:Pas STFTX(f+1,:)=ifft(XF(f+1:f+M).*W); %Matrix to stock STFT’s results end subplot(2,1,1);plot(x); subplot(2,1,2);imagesc(abs(STFTX)); ..

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