Mercurial > hg > aimmat
view aim-mat/tools/@signal/bandpass.asv @ 4:537f939baef0 tip
various bug fixes and changed copyright message
author | Stefan Bleeck <bleeck@gmail.com> |
---|---|
date | Tue, 16 Aug 2011 14:37:17 +0100 |
parents | 74dedb26614d |
children |
line wrap: on
line source
% method of class @signal % % INPUT VALUES: % % RETURN VALUE: % % % (c) 2003, University of Cambridge, Medical Research Council % Stefan Bleeck (stefan@bleeck.de) % http://www.mrc-cbu.cam.ac.uk/cnbh/aimmanual % $Date: 2003/07/17 10:56:16 $ % $Revision: 1.2 $ function filtered_sig=bandpass(sig,lowfrequency,highfrequency,stopbandwidth_low,stopbandwidth_high,ripple,stopbandatten) % hack for an phase true bandpassfilter with cutoff at frequency % used is a ButterworthFilter % this is all crap, but it does not work properly otherwise. grafix=0; if nargin < 7 stopbandatten=60; % in dB - how many dB the signal is reduced in the stopband at least end if nargin < 6 ripple=3; % in dB = ripple in the passband end if nargin < 5 stopbandwidth_high=highfrequency*2; % one octave above end if nargin < 4 stopbandwidth_low=lowfrequency/2; % one octave above end % I dont understand enough to make it work with a butterwort filer. % easy solution: first perform a lowpass, then a highpass filter... % sorry, Thanks for any help! if grafix figure(23534) plot(powerspectrum(sig),[100,getsr(sig)/2],'b') hold on end if highfrequency>0 filtered_sig_low=lowpass(sig,highfrequency,highfrequency+stopbandwidth_high,ripple,stopbandatten); else filtered_sig_low=sig; end if grafix figure(23534) plot(powerspectrum(filtered_sig_low),[100,getsr(filtered_sig_low)/2],'r') end if lowfrequency>0 filtered_sig=highpass(filtered_sig_low,lowfrequency,lowfrequency-stopbandwidth_low,ripple,stopbandatten); if grafix figure(23534) plot(powerspectrum(filtered_sig),[100,getsr(filtered_sig_low)/2],'g') end return % if nargin < 4 % ripple=1; % in dB = ripple in the passband % end % if nargin <3 % stopband=frequency*2; % eine Oktave drüber % end ripple=3; nyquist=getsr(sig)/2; % fre_low=2; % fre_high=frequency; Wpass=[lowfrequency highfrequency]/nyquist; Wstop=[lowfrequency-stopbandwidth highfrequency+stopbandwidth]/nyquist; [n,Wn] = buttord(Wpass,Wstop,ripple,stopbandatten); % [n,Wn] = buttord(fre_high/nyquist,(fre_high+stopband)/nyquist,ripple,stopbandatten); % Berechne den IIR-Filter [b,a] = butter(n,Wn); % zum testen: freqz(b,a,128,getsr(sig)) vals=sig.werte'; % fill the part behind the signal and in front of the signal with % values % firstval=vals(1); % lastval=vals(end); % nr_vals=length(vals); % vals=[ones(1,nr_vals)*firstval vals ones(1,nr_vals)*lastval]; plot(vals) hold on nvals = filter(b,a,vals); % nvals = filtfilt(b,a,vals); % extract the values back % nvals=nvals(nr_vals+1:2*nr_vals); plot(nvals,'r') % filtered_sig=0; % return filtered_sig=sig; % a copy of the old one newname=sprintf('Bandpass filterd (%3.2fkHz - %3.2fkHz) Signal: %s',lowfrequency/1000,highfrequency/1000,getname(sig)); filtered_sig=setname(filtered_sig,newname); filtered_sig.werte=nvals'; % figure(235423) % plot(sig); % hold on % plot(filtered_sig,'g'); % s=0;