How to convert the MATLAB code into the Python?
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Hello, I have a matlab code for the quantitative differential phase contrast imaging and the code is very big and complicated as well. But the problem is the institute where I am working does not allow to use matlab and they have python and LabVIEW, so I would like to convert the matlab code to python or someone knows how to run the matlab code in python then it also be very helpful.
I have attached the main code.
Thank you.
9 Comments
Answers (7)
madhan ravi
on 26 Oct 2018
Edited: madhan ravi
on 26 Oct 2018
You can use numpy framework which contains matlab libraries.
1 Comment
MathWorks Support Team
on 25 Oct 2022
MATLAB provides two-way integration with many programming languages, including Python. The MATLAB Engine API for Python allows you to call MATLAB functions from Python. Similarly, if you have functions and objects in Python, you can call them directly from MATLAB using the Python Interface. Finally, you can build Python packages from MATLAB programs by using MATLAB Compiler SDK™. These packages can be integrated with Python applications and can be shared with desktop users or deployed to web and enterprise systems. To learn more about using MATLAB with Python go here.
4 Comments
Walter Roberson
on 17 Sep 2023
The original poster of the question used the term "problem", rather than a phrasing such as "great thing", so it was not a "feature" to the original poster.
Daniel
on 17 Sep 2023
@Walter Roberson - ChatGPT may be useful to help you understand sarcasm as well :)
Gurubasava Bhure
on 24 Jul 2021
Edited: Walter Roberson
on 26 Oct 2022
clc()
clear(mstring('all'))
close(mstring('all'))
# Generating the bit pattern with each bit 20 samples long
b = round(rand(1, 30))
pattern = mcat([])
for k in mslice[1:30]:
if b(1, k) == 0:
sig = -ones(1, 20)
else:
sig = ones(1, 20)
end
pattern = mcat([pattern, sig])
end
subplot(4, 1, 1)
plot(pattern)
axis(mcat([-1, 600 - 1.5, 1.5]))
title(mstring('Original Bit Sequence'))
# Generating the pseudo random bit pattern for spreading
d = round(rand(1, 120))
pn_seq = mcat([])
carrier = mcat([])
t = mcat([mslice[0:2 * pi / 4:2 * pi]])# Creating 5 samples for one cosine
for k in mslice[1:120]:
if d(1, k) == 0:
sig = -ones(1, 5)
else:
sig = ones(1, 5)
end
c = cos(t)
carrier = mcat([carrier, c])
pn_seq = mcat([pn_seq, sig])
end
# Spreading of sequence
spreaded_sig = pattern *elmul* pn_seq
subplot(4, 1, 2)
plot(spreaded_sig)
axis(mcat([-1, 600 - 1.5, 1.5]))
title(mstring('Spreaded signal'))
# BPSK Modulation of the spreaded signal
bpsk_sig = spreaded_sig *elmul* carrier# Modulating the signal
subplot(4, 1, 3)
plot(bpsk_sig)
axis(mcat([-1, 600 - 1.5, 1.5]))
title(mstring('BPSK Modulated Signal'))
#Plotting the FFT of DSSS signal
y = abs(fft(xcorr(bpsk_sig)))
subplot(4, 1, 4)
plot(y / max(y))
xlabel(mstring('Frequency'))
ylabel(mstring('PSD'))
#Demodulation and Despreading of Received Signal
figure()
rxsig = bpsk_sig *elmul* carrier
demod_sig = mcat([])
for i in mslice[1:600]:
if rxsig(i) >= 0:
rxs = 1
else:
rxs = -1
end
demod_sig = mcat([demod_sig, rxs])
end
subplot(3, 1, 1)
plot(demod_sig)
axis(mcat([-1, 600 - 1.5, 1.5]))
title(mstring('Demodulated Signal'))
despread_sig = demod_sig *elmul* pn_seq
subplot(3, 1, 2)
plot(despread_sig)
axis(mcat([-1, 600 - 1.5, 1.5]))
title(mstring('Despreaded data'))
#Power Spectrum of Despreaded data
z = 0.5 + 0.5 * despread_sig
y = abs(fft(xcorr(z)))
subplot(3, 1, 3)
plot(y / max(y))
axis(mcat([0, 500, 0, 1.5]))
xlabel(mstring('Frequency'))
ylabel(mstring('PSD'))
13 Comments
Samuel Gray
on 3 May 2022
...see?
So it's like other forums in that way, especially like YT forums, but there's no obvious indication of that...
But if you've spent most of your formative years posting on forums that support @ replies, you'd just do that by rote and find that it works. I did find it by typing in @ (for another reason) and as you see if you try that, all sorts of user names will pop up.
So it's dangerous to assume that something is or is not a certain way because quite often it's just a matter of your background and your willingness to experiment and do some research on Google. Some people like that about Life and some don't.
Walter Roberson
on 15 Nov 2023
When you are in the editor here, the right hand side has a circled question mark with notation HELP . If you click on that you get documentation about the editor, including
When you type @, a popup displays the community members already in the Q/A thread. As you keep typing, the list expands to include members not in the thread. A mentioned community member receives a notification when the question/answer/comment is posted. Each mention links the post to the community member's user profile.
Arthi Raj
on 29 Mar 2022
Edited: Walter Roberson
on 3 May 2022
%clc;
clear;
close all;
% [filename, pathname] = uigetfile('*.jpg', 'CHOOSE A IMAGE');
A=imread('C:\Users\Administrator\Desktop\Mango_Database\RIPE\R22.jpg');
% A=imread('C:\Users\Administrator\Desktop\Mango_Database\UNRIPE\U1.jpg');
% A=imcrop(A);
A=imresize(A,[256 256]);
A=immultiply(A,1.5);
figure;imshow(A);impixelinfo;
ro=size(A,1);
co=size(A,2);
H=0;
for n=1:ro
for m=1:co
R=A(n,m,1);
G=A(n,m,2);
B=A(n,m,3);
if(R>180&&G<200&&G>150&&B<100)
H=H+1;
end
end
end
1 Comment
Walter Roberson
on 17 Aug 2024
I do not understand how a bunch of MATLAB code is the Answer to a question about converting MATLAB Code to python ?
Arash Rabbani
on 26 May 2022
You may want to check these tutorials on how to convert a code from MATLAB to python.
siavosh
on 17 Aug 2024
clc;
clear all;
close all;
% Parâmetros:
n=3 % N° de equações;
t_ini=0; % Instante inicial;
t_fin=1000; % Instante final;
t_pas=0.5; % passo;
output=10; % output
% Condições Iniciais:
u0=1;
v0=1;
w0=1;
% Arquivo para rodar o método de lyapunov_lorenz:
% [Texp,Lexp]=lyapunov(n, fun, integrador, t_inicial, t_passo, t_final, y_inicio, output)
[T, Res]=lyapunov(n,@lyapunov_lorenz,@ode45,t_ini,t_pas,t_fin,[u0 v0 w0], output);
% Interface gráfica:
plot(T, Res, 'LineWidth',1.5);
title('\fontsize{15} Expoentes de Lyapunov - Sistema de Lorenz');
legend('\fontsize{15} \lambda_1','\fontsize{15} \lambda_2','\fontsize{15} \lambda_3')
xlabel('\fontsize{15} Tempo (s)');
ylabel('\fontsize{15} Expoentes de Lyapunov');
grid on
1 Comment
Walter Roberson
on 17 Aug 2024
I do not understand how a bunch of MATLAB code is the Answer to a question about converting MATLAB Code to python ?
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