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Integrate with LTPDAPreferences
author | Daniele Nicolodi <nicolodi@science.unitn.it> |
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date | Mon, 05 Dec 2011 16:20:06 +0100 |
parents | f0afece42f48 |
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% Test script for ao/filter with matrix input % % L. Ferraioli 02-12-08 % % $Id: test_ao_filtfilt.m,v 1.3 2011/05/12 13:23:35 luigi Exp $ %% Test a filter matrix with a single filter object % get filter pl = plist('type', 'lowpass', ... 'order', 2, ... 'gain', 1.0, ... 'fs', 10, ... 'fc', 0.2); filt = miir(pl); fresp = resp(filt,plist('f',[logspace(-4,0,100)].')); % put filter into a matrix mfilt = matrix(filt); % gen white noise data b = ao(plist('tsfcn', 'randn(size(t))', 'fs', 10, 'nsecs', 1e4)); % do filtering with matrix c = filter(b,mfilt); sc = tfe(b,c); sc.setName; % do filtering with matrix inside plist d = filtfilt(b,plist('filter',mfilt)); sd = tfe(b,d); sd.setName; % test rebuild g = rebuild(c); sg = tfe(b,g); sg.setName; h = rebuild(d); sh = tfe(b,h); sh.setName; % check iplot(sc,sd,sg,sh,fresp) %% Test a filter with a single filterbank object % get filter and response pl = plist('type', 'lowpass', ... 'order', 2, ... 'gain', 1.0, ... 'fs', 10, ... 'fc', 0.2); filt = miir(pl); fresp = resp(filt,plist('f',[logspace(-4,0,100)].')); % generate a filterbank with zDomainFit pl_fit = plist('FS',10,... 'AutoSearch','on',... 'StartPoles',[],... 'StartPolesOpt','clin',... 'maxiter',40,... 'minorder',3,... 'maxorder',25,... 'weights',[],... 'weightparam','abs',... 'CONDTYPE','MSE',... 'FITTOL',1e-4,... % check if MSE is lower than 1e-4 'MSEVARTOL',1e-2,... 'Plot','off',... 'ForceStability','on',... 'CheckProgress','off'); % Do fit fbk_filt = zDomainFit(fresp, pl_fit); % gen white noise data b = ao(plist('tsfcn', 'randn(size(t))', 'fs', 10, 'nsecs', 1e4)); % do filtering with filterbank c = filtfilt(b,fbk_filt); sc = tfe(b,c); sc.setName('direct filterbank') d = filter(b,fbk_filt); sd = tfe(b,d); sd.setName('direct filter') % % do filtering with filterbank inside plist % d = filtfilt(b,plist('filter',fbk_filt)); % sd = tfe(b,d); % sd.setName('plist filterbank') % check iplot(abs(sc),abs(sd).^2,abs(fresp).^2) %% test filter with 2dim matrix % test that filter trow an error when a N-dim matrix is input pl1 = plist('type', 'lowpass', ... 'order', 2, ... 'gain', 1.0, ... 'fs', 10, ... 'fc', 0.2); pl2 = plist('type', 'lowpass', ... 'order', 1, ... 'gain', 1e-1, ... 'fs', 10, ... 'fc', 0.01); filt1 = miir(pl1); fresp1 = resp(filt1,plist('f',[logspace(-4,0,100)].')); filt2 = miir(pl2); fresp2 = resp(filt2,plist('f',[logspace(-4,0,100)].')); mfilt = matrix(filt1,filt2); % gen white noise data b = ao(plist('tsfcn', 'randn(size(t))', 'fs', 10, 'nsecs', 1e4)); % do filtering with matrix try c = filter(b,mfilt); catch err disp(err.message) end try c = filter(b,plist('filter',mfilt)); catch err disp(err.message) end %% test filter with 2dim matrix % test that filter trow an error when a N-dim matrix is input pl1 = plist('type', 'lowpass', ... 'order', 2, ... 'gain', 1.0, ... 'fs', 10, ... 'fc', 0.2); pl2 = plist('type', 'lowpass', ... 'order', 1, ... 'gain', 1e-1, ... 'fs', 10, ... 'fc', 0.01); filt1 = miir(pl1); fresp1 = resp(filt1,plist('f',[logspace(-4,0,100)].')); filt2 = miir(pl2); fresp2 = resp(filt2,plist('f',[logspace(-4,0,100)].')); % Fitting parameter list pl_fit = plist('FS',10,... 'AutoSearch','on',... 'StartPoles',[],... 'StartPolesOpt','clog',... 'maxiter',40,... 'minorder',3,... 'maxorder',25,... 'weights',[],... 'weightparam','abs',... 'CONDTYPE','MSE',... 'FITTOL',1e-4,... % check if MSE is lower than 1e-4 'MSEVARTOL',1e-2,... 'Plot','off',... 'ForceStability','on',... 'CheckProgress','off'); % Do fit mod = zDomainFit(fresp1,fresp2,pl_fit); b = ao(plist('tsfcn', 'randn(size(t))', 'fs', 10, 'nsecs', 1e4)); try c = filter(b,mfilt); catch err disp(err.message) end try c = filter(b,plist('filter',mfilt)); catch err disp(err.message) end