"Yow" <email@example.com> wrote in message <firstname.lastname@example.org>... > hi, > > i try the following, not much difference, the voice signal still have clear delay (lagging) effect. Any further idea to remove the delay effect ? > > [x, Fs] = wavread('c:\wav\sample.wav'); > h=fdesign.lowpass('Fp,Fst,Ap,Ast',1000,1010,0.1,1,Fs); > d=design(h,'equiripple'); %Lowpass FIR filter > disp(d); > [y,y_tail]=filter(d.Numerator,1,x); > disp(['ok2']); > gd = (numel(d.Numerator)-1)/2; > disp(['ok3']); > disp(size(y)); > disp(size(y_tail)); > len_y = length(y); > len_y_tail = length(y_tail); > df=length(y)-length(y_tail); > disp(df); > if (df >0) > disp(sprintf('3.1 = %d', df)); > for k=len_y_tail:len_y > %disp(sprintf('bk = %d', k)); > y_tail(k) = 0; > disp(sprintf('k = %d', k)); > end > end > %Then you obtain the whole y by concatenating y and y_tail > y = [y, y_tail.']; > disp(['ok4']); > y_nodelay = y(floor(gd)+(1:numel(x))); > disp(['ok5']); > wavwrite(y_nodelay, 'c:\wav\filter\sample_new.wav'); > disp(['ok6']); > > regards, > yow
Hi Yow, and others, Yes, it is true that filtfilt() does not currently accept filter objects as inputs, but you can still take advantage of the flexibility and strength of fdesign.<response> and simply extract the filter coefficients to use in filtfilt(). This is straightforward in the case of an FIR filter:
Hd = fdesign.lowpass('Fp,Fst,Ap,Ast',1000,1200,0.5,60,10000); D = design(Hd,'equiripple'); % Now you can call filtfilt() with the numerator coefficients Y = filtfilt(D.Numerator,1,randn(1024,1));
In the case of an IIR filter, it's a bit trickier since those are implemented as biquad filters. You can use sos2tf() to extract the filter coefficients, but in this case I caution you to be careful because the higher the order of the IIR filter, the more numerical problems due to round off may occur in the SOS to transfer function conversion. For example: % Notice I pick a fairly low order filter here Hd = fdesign.lowpass('N,F3dB',8,1000,10000); D = design(Hd,'butter'); [B,A]= sos2tf(D.sosMatrix,D.ScaleValues); fvtool(B,A)
% You can up the filter order, but again always view your resulting transfer function % to see if it has been affected by numerical problems Hd = fdesign.lowpass('N,F3dB',15,1000,10000); D = design(Hd,'butter'); [B,A]= sos2tf(D.sosMatrix,D.ScaleValues); fvtool(B,A) % still looks fine y = filtfilt(B,A,randn(1024,1));
The above procedure should allow you to use filtfilt() and still take advantage of fdesign.<response> and their associated design methods.