overlap save of an audio file and FIR filter
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Hi
Im trying to perform a convolution by an overlap save method. I tried to use an example I found here for the overlap save: My total code:
[signal,Fs] = audioread('ex01signal.mp3'); %Load audio file
fs = Fs/5;
fivesecsignal = signal(25*Fs:30*Fs);
audiowrite('5_sec_signal.wav',fivesecsignal,fs);
clear fivesecsugnal;
[new_signal,fs] = audioread('5_sec_signal.wav');
fc = 155;
wn = (2/fs)*fc;
tubafilter = fir1(477,wn,'low');
%%%============Overlap-save of signal and filter==========================%%%
x = audiosignal; %after I used the audioread command
h = tubafilter;
L=256;
N1=length(x);
M=length(h);
lc=conv(x,h);
x=[x zeros(1,mod(-N1,L)) zeros(1,L)];
N2=length(x);
h=[h zeros(1,L-1)];
H=fft(h,L+M-1);
S=N2/L;
index=1:L;
xm=x(index); % For first stage Special Case
x1=[zeros(1,M-1) xm]; %zeros appeded at Start point
X=[];
for stage=1:S
X1=fft(x1,L+M-1);
Y=X1.*H;
Y=ifft(Y);
index2=M:M+L-1;
Y=Y(index2); %Discarding Samples
X=[X Y];
index3=(((stage)*L)-M+2):((stage+1)*L); % Selecting Sequence to process
if(index3(L+M-1)<=N2)
x1=x(index3);
end
end;
i=1:N1+M-1;
X=X(i);
similarity=corrcoef(X,lc); % Similarity between Inbuilt and Calculated conv
figure()
subplot(2,1,1)
stem(lc);
title('Convolution Using conv() function')
xlabel('n');
ylabel('y(n)');
subplot(2,1,2)
stem(X);
title('Convolution Using Overlap Save Method')
xlabel('n');
ylabel('y(n)');
if I run the program the next error appear:
Dimensions of matrices being concatenated are not consistent.
Please can someone explain to me what I need to fix here?
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답변 (1개)
Walter Roberson
2018년 5월 18일
If you used audioread, then the result is going to be in columns, one column per channel. Your code assumes that your x is exactly one row
댓글 수: 2
Walter Roberson
2018년 5월 18일
You need to pass at least two arguments to buffer(). The first argument is the input data, and the second argument is the size of the output frame.
When buffer is used, it is also common to pass a third parameter, which controls how much overlap is to be used between frames, for the case where you want a sliding window.
Note: the input to buffer() must be a vector, so you cannot directly use buffer() with multi-channel input.
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