我使用Matlab執行FFT-IFFT以從我的信號中取出50 Hz及其諧波。 爲此,我將信號分解成1024個樣本的窗口,並對其執行FFT。我也做了50%的重疊。 FFT完成後,我取出這些諧波,並進行IFFT以獲得濾波數據。 我的問題是: 如何總結所有與重疊的窗口來獲取信號?FFT-IFFT。如何總結IFFT後的最終信號?
我的代碼如下。正如你所看到的,我在每個窗口上執行FFT-IFFT,並且不知道如何將所有窗口重新組合在一起。
[y, Fs, nbits] = wavread([fileName]); %read the data
[noSamples, noChannels] = size(y);
N = 1024; %window length 2^10
winLength=N;
Fres = Fs/N; % resolution frequency
nofWins = floor(noSamples/winLength); % No of full windows
noWins = round((100/50)*nofWins - 1); % rounded no of windows
yPaddedLength = floor(noWins*0.5*winLength + winLength); % padding wth 0
yZeroPadded =[y zeros(1, (yPaddedLength - noSamples))]; % padded signal y
nofWinsPadded = round(yPaddedLength/winLength);
noWinsPadded = round((100/50)*nofWinsPadded - 1); % no of padded windows
odd = true;
for k = 1:(noWinsPadded-1)
j = floor(0.5*k);
at = j*winLength + 1;
overlapWinLength=floor(0.5*winLength);
range = at:(at + winLength - 1);
if odd
data = yZeroPadded(range, 1);
data_sum=sum(data); % from now on - to perform
% DC removal
data_average=data_sum/N;
data=data-data_average;
else
data = yZeroPadded(range+overlapWinLength, 1);
data_sum=sum(data);
data_average=data_sum/N;
data=data-data_average;
end;
odd=~odd;
spectrum = fft(data);
F=length(spectrum);
F=spectrum;
F(10:11)=zeros; % FFT No equals to zero removes harmonics
F(17:18)=zeros % and so on
filtered_signal=IFFT(F);
感謝你在期待, 埃倫車
好吧,我預計... ...我應該刪除DC嗎? –
@ElenChe:這取決於你;) –