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.
댓글 수: 9
답변 (7개)
madhan ravi
2018년 10월 26일
편집: madhan ravi
2018년 10월 26일
You can use numpy framework which contains matlab libraries.
MathWorks Support Team
2022년 10월 25일
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.
댓글 수: 4
Walter Roberson
2023년 9월 17일
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
2023년 9월 17일
@Walter Roberson - ChatGPT may be useful to help you understand sarcasm as well :)
Gurubasava Bhure
2021년 7월 24일
편집: Walter Roberson
2022년 10월 26일
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'))
댓글 수: 13
Samuel Gray
2022년 5월 3일
...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
2023년 11월 15일
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
2022년 3월 29일
편집: Walter Roberson
2022년 5월 3일
%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
댓글 수: 1
Walter Roberson
2024년 8월 17일 18:21
I do not understand how a bunch of MATLAB code is the Answer to a question about converting MATLAB Code to python ?
Arash Rabbani
2022년 5월 26일
You may want to check these tutorials on how to convert a code from MATLAB to python.
siavosh
2024년 8월 17일 6:01
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
댓글 수: 1
Walter Roberson
2024년 8월 17일 18:21
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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