DFT的事情拖了很久了,上个学期就一直纠缠着,始终没有理解,去逸夫楼上课每次下课空教室的时候就喜欢一个人“过瘾”,在黑板上写DFT
的表达式,总想着程序实现。大概那样过了一个月,还是没有理解(智商是硬伤),这几天看了stanford的视频,老师挺逗的,感觉好像懂了,
于是重新写DFT。在matlab下实现了 。。。。
个人觉得<The Scientist and Engineer‘s Guide to Digital Signal Processing>这本书还是很好的。很值得一看,如果对DSP有兴趣的话。
好吧,开源,上代码:
%% ***************************************************************************************
% code writer :EOF
% code date : 2014.03.11
% e-mail : jasonleaster@gmail.com
% code purpose :
% This code is demo for DFT. I would like to share my code with
% someone who is interesting in DSP. If there is something wrong with
% my code, please touche me by e-mail. Thank you!
%
%% ***************************************************************************************
TotalSample = 400;
%The number of all the signal that our sensor got
circle = TotalSample/10;
%We assume that the preiod of the signal we generated is ‘circle‘;
SignalInS = zeros(circle,1);
%This varible is used for recording the signal in frequency domain
SignalInT = zeros(TotalSample,1);
%This varible is used for recording the signal which were processed by inverse-DFT in time domain
OriginalSignal = zeros(TotalSample,1);
%This varible is used for recording the original signal that we got.
%% initialize a square wave
for SampleNumber = -(TotalSample/2):(TotalSample/2)-1
if (mod(abs(SampleNumber),circle) < (circle/2))&&(SampleNumber>0)
OriginalSignal((TotalSample/2)+1+SampleNumber) = 5;
elseif (mod(abs(SampleNumber),circle) >= (circle/2))&&(SampleNumber>0)
OriginalSignal((TotalSample/2)+1+SampleNumber) = 0;
elseif (mod(abs(SampleNumber),circle) < (circle/2))&&(SampleNumber<0)
OriginalSignal((TotalSample/2)+1+SampleNumber) = 0;
elseif (mod(abs(SampleNumber),circle) >= (circle/2))&&(SampleNumber<0)
OriginalSignal((TotalSample/2)+1+SampleNumber) = 5;
end
end
%We show the original signal in time domain.
figure(1);
plot( -(TotalSample/2):(TotalSample/2)-1,OriginalSignal,‘.-‘);
title(‘The original signal‘);
%% forward-DFT
for frequency = -(circle/2):(circle/2)-1
% You must knew what is "Shannon sampling theorem" and you will knew that why frequency is from -(circle/2) to (circle/2)-1
for SampleNumber = -(TotalSample/2):(TotalSample/2)-1%Nothingelse, just from 1 to TotalSample
SignalInS((circle/2)+1+frequency) = ...
SignalInS((circle/2)+1+frequency) + ...
OriginalSignal((TotalSample/2)+1+SampleNumber)*exp(-2*pi*(frequency/circle)*(SampleNumber+(TotalSample/2)+1)*i);
end
end
%We show the real part of processed signal in frequency domain.
figure(2);
plot(-(circle/2):(circle/2)-1,real(SignalInS),‘-‘);
title(‘The real part of signal after processed‘);
%We show the imagine part of processed signal in frequency domain.
figure(3);
plot(-(circle/2):(circle/2)-1,imag(SignalInS),‘-‘);
title(‘The imagine part of signal after processed‘);
%% inverse-DFT
for frequency = -(circle/2):(circle/2)-1
for SampleNumber = -(TotalSample/2):(TotalSample/2)-1
SignalInT((TotalSample/2)+1+SampleNumber) = ...
SignalInT((TotalSample/2)+1+SampleNumber) + ...
(1/TotalSample)*SignalInS((circle/2)+1+frequency)*exp(2*pi*(frequency/circle)*(SampleNumber+(TotalSample/2)+1)*i);
end
end
%Just show the signal that we rebuilt by inverse-DFT
figure(4);
plot(-(TotalSample/2):(TotalSample/2)-1,SignalInT,‘-‘);
title(‘The rebuilt signal after processed‘);
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原文:http://blog.csdn.net/ns_code/article/details/21043665