~ubuntu-branches/ubuntu/wily/octave-ltfat/wily-proposed

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
function [h,g,a,info]=wfilt_remez(L,K,B)
%-*- texinfo -*-
%@deftypefn {Function} wfilt_remez
%@verbatim
%WFILT_REMEZ Filters designed using Remez exchange algorithm
%   Usage: [h,g,a]=wfilt_remez(L,K,B)
%
%   Input parameters:
%         L     : Length of the filters.
%         K     : Degree of flatness (regularity) at z=-1. 
%         B     : Normalized transition bandwidth.
%
%   [h,g,a]=WFILT_REMEZ(L,K,B) calculates a set of wavelet filters. 
%   Regularity, frequency selectivity, and length of the filters can be
%   controlled by K, B and L parameters respectivelly.
%
%   The filter desigh algorithm is based on a Remez algorithm and a 
%   factorization of the complex cepstrum of the polynomial.
%
%   Examples:
%   ---------
%   :
%
%     wfiltinfo('remez50:2:0.1');
%
%   References:
%     O. Rioul and P. Duhamel. A remez exchange algorithm for orthonormal
%     wavelets. Circuits and Systems II: Analog and Digital Signal
%     Processing, IEEE Transactions on, 41(8):550 -560, aug 1994.
%     
%@end verbatim
%@strong{Url}: @url{http://ltfat.github.io/doc/wavelets/wfilt_remez.html}
%@end deftypefn

% Copyright (C) 2005-2015 Peter L. Soendergaard <peter@sonderport.dk>.
% This file is part of LTFAT version 2.1.0
%
% This program is free software: you can redistribute it and/or modify
% it under the terms of the GNU General Public License as published by
% the Free Software Foundation, either version 3 of the License, or
% (at your option) any later version.
%
% This program is distributed in the hope that it will be useful,
% but WITHOUT ANY WARRANTY; without even the implied warranty of
% MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
% GNU General Public License for more details.
%
% You should have received a copy of the GNU General Public License
% along with this program.  If not, see <http://www.gnu.org/licenses/>.

% Original copyright goes to:
% Copyright (C) 1994, 1995, 1996, by Universidad de Vigo 
% Author: Jose Martin Garcia
% e-mail: Uvi_Wave@tsc.uvigo.es

if(nargin<3)
     error('%s: Too few input parameters.',upper(mfilename)); 
end

complainif_notposint(L,'L',mfilename);
complainif_notposint(L,'K',mfilename);

if B>0.2
    error(['%s: Bandwidth of the transition band should not be',...
           ' bigger than 0.2.'],upper(mfilename));
end

poly=remezwav(L,K,B);
rh=fc_cceps(poly);

g{1} = flipud(rh(:));
g{2} = -(-1).^(1:length(rh)).'.*flipud(g{1});

% Default offset
d = [0,0];
  % Do a filter alignment according to "center of gravity"
  d(1) = -floor(sum((1:L)'.*abs(g{1}).^2)/sum(abs(g{1}).^2));
  d(2) = -floor(sum((1:L)'.*abs(g{2}).^2)/sum(abs(g{2}).^2));
  if rem(d(1)-d(2),2)==1
      % Shift d(2) just a bit
      d(2) = d(2) + 1;
  end


g = cellfun(@(gEl,dEl) struct('h',gEl,'offset',dEl),g,num2cell(d),...
            'UniformOutput',0);
h = g;

a= [2;2];
info.istight = 1;

function [p,r]=remezwav(L,K,B)

%REMEZWAV    P=REMEZWAV(L,K,B) gives impulse response of maximally
%	     frequency selective P(z), product filter of paraunitary
%	     filter bank solution H(z) of length L satisfying K flatness
%	     constraints (wavelet filter), with normalized transition
%	     bandwidth B (optional argument if K==L/2).
% 
%	     [P,R]=REMEZWAV(L,K,B) also gives the roots of P(z) which can
%	     be used to determine H(z).
%
%	     See also: REMEZFLT, FC_CCEPS.
%
%	     References: O. Rioul and P. Duhamel, "A Remez Exchange Algorithm
%			 for Orthonormal Wavelets", IEEE Trans. Circuits and
%			 Systems - II: Analog and Digital Signal Processing,
%			 41(8), August 1994
%                                                                          
%       Author: Olivier Rioul, Nov. 1, 1992 (taken from the
%		above reference)
%  Modified by: Jose Martin Garcia
%       e-mail: Uvi_Wave@tsc.uvigo.es
%--------------------------------------------------------


computeroots=(nargout>1);

%%%%%%%%%%%%%%%%%%%%%%%%%% STEP 1 %%%%%%%%%%%%%%%%%%%%%%%%%%%
if rem(L,2), error('L must be even'); end
if rem(L/2-K,2), K=K+1; end
N=L/2-K;
%%%%%%%%%%%%%%%%%%%%%%%%%% STEP 2  %%%%%%%%%%%%%%%%%%%%%%%%%%
% Daubechies solution
% PK(z)=z^(-2K-1))+AK(z^2)
if K==0, AK=0;
else
   binom=pascal(2*K,1);
   AK=binom(2*K,1:K)./(2*K-1:-2:1);
   AK=[AK AK(K:-1:1)];
   AK=AK/sum(AK);
end
%%%%%%%%%%%%%%%%%%%%%%%%%%% STEP 2' %%%%%%%%%%%%%%%%%%%%%%%%%%%
% Daubechies factor
% PK(z)=((1+z^(-1))/2)^2*K QK(z)
if computeroots && K>0
   QK=binom(2*K,1:K);
   QK=QK.*abs(QK);
   QK=cumsum(QK);
   QK=QK./abs(binom(2*K-1,1:K));
   QK=[QK QK(K-1:-1:1)];
   QK=QK/sum(QK)*2;
end
%%%%%%%%%%%%%%%%%%%%%%%%%%%% STEP 3 %%%%%%%%%%%%%%%%%%%%%%%%%%%%
% output Daubechies solution PK(z)
if K==L/2
   p=zeros(1,2*L-1);
   p(1:2:2*L-1)=AK; p(L)=1;
   if computeroots
      r=[roots(QK); -ones(L,1)];
   end
   return
end
%%%%%%%%%%%%%%%%%%%%%%%%%%%%% STEP 4 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Daubechies polinomial
% PK(x)=1+x*DK(x^2)
if K==0, DK=0;
else
   binom=pascal(K,1);
   binom=binom(K,:);
   DK=binom./(1:2:2*K-1);
   DK=fliplr(DK)/sum(DK);
end

wp=(1/2-B)*pi;  % cut-off frequency
gridens=16*(N+1);  % grid density
found=0;  % boolean for Remez loop

%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% STEP I %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Initial estimate of yk
a=min(4,K)/10;
yk=linspace(0,1-a,N+1);
yk=(yk.^2).*(3+a-(2+a)*yk);
yk=1-(1-yk)*(1-cos(wp)^2);
ykold=yk;

iter=0;
while 1  % REMEZ LOOP
iter=iter+1;

%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% STEP II %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Compute delta
Wyk=sqrt(yk).*((1-yk).^K);
Dyk=(1-sqrt(yk).*polyval(DK,yk))./Wyk;
for k=1:N+1
   dy=yk-yk(k); dy(k)=[];
   dy=dy(1:N/2).*dy(N:-1:N/2+1);
   Lk(k)=prod(dy);
end
invW(1:2:N+1)=2./Wyk(1:2:N+1);
delta=sum(Dyk./Lk)/sum(invW./Lk);

%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% STEP III %%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% compute R(y) on fine grid
Ryk=Dyk-delta.*invW; Ryk(N+1)=[];
Lk=(yk(1:N)-yk(N+1))./Lk(1:N);
y=linspace(cos(wp)^2,1-K*1e-7,gridens);
yy=ones(N,1)*y-yk(1:N)'*ones(1,gridens);
% yy contain y-yk on each line
ind=find(yy==0);  % avoid division by 0
if ~isempty(ind)
   yy(ind)=1e-30*ones(size(ind));
end
yy=1./yy;
Ry=((Ryk.*Lk)*yy)./(Lk*yy);

%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% STEP IV %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% find next yk
Ey=1-delta-sqrt(y).*(polyval(DK,y)+((1-y).^K).*Ry);
k=find(abs(diff(sign(diff(Ey))))==2)+1;
% N extrema
if length(k)>N
% may happen if L and K are large 
   k=k(1:N);
end
yk=[yk(1) y(k)];
% N+1 extrema including wp
if K==0, yk=[yk 1]; end
% extrema at y==1 added
if all(yk==ykold), break; end
ykold=yk;

end  % REMEZ LOOP

%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%  STEP A %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% compute impulse response
w=(0:2*N-2)*pi/(2*N-1);
y=cos(w).^2;
yy=ones(N,1)*y-yk(1:N)'*ones(1,2*N-1);
ind=find(yy==0);
if ~isempty(ind)
   yy(ind)=1e-30*ones(size(ind));
end
yy=1./yy;
Ry=((Ryk.*Lk)*yy)./(Lk*yy);
Ry(2:2:2*N-2)=-Ry(2:2:2*N-2);
r=Ry*cos(w'*(2*(0:N-1)+1));
% partial real IDFT done
r=r/(2*N-1);
r=[r r(N-1:-1:1)];
p1=[r 0]+[0 r];
pp=p1;  % save p1 for later use
for k=1:2*K
   p1=[p1 0]-[0 p1];
end
if rem(K,2), p1=-p1; end
p1=p1/2^(2*K+1);
p1(N+1:N+2*K)=p1(N+1:N+2*K)+AK;
% add Daubechies response:
p(1:2:2*L-1)=p1; p(L)=1;

%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% STEP A' %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% compute roots
if computeroots
   Q(1:2:2*length(pp)-1)=pp;
   for k=1:2*K
     Q=[Q 0]-[0 Q];
   end
   if rem(K,2), Q=-Q; end
   Q=Q/2;
   if K>0  % add Daubechies factor QK
      Q(2*N+1:L-1)=Q(2*N+1:L-1)+QK;
   else
      Q(L)=1;
   end
   r=[roots(Q); -ones(2*K,1)];
end



function  h=fc_cceps(poly,ro)

%FC_CCEPS    Performs a factorization using complex cepstrum.
%
%	     H = FC_CCEPS (POLY,RO) provides H that is the spectral
%	     factor of a FIR transfer function POLY(z) with non-negative 
%	     frequency response. This methode let us obtain lowpass
%	     filters of a bank structure without finding the POLY zeros.
%	     The filter obtained is minimum phase (all zeros are inside
%	     unit circle).
%		
%	     RO is a parameter used to move zeros out of unit circle.
%	     It is optional and the default value is RO=1.02.
%
%	     See also: INVCCEPS, MYCCEPS, REMEZWAV.
%
%	     References: P.P Vaidyanathan, "Multirate Systems and Filter
%			 Banks", pp. 849-857, Prentice-Hall, 1993


%--------------------------------------------------------
% Copyright (C) 1994, 1995, 1996, by Universidad de Vigo 
%                                                      
%                                                      
% Uvi_Wave is free software; you can redistribute it and/or modify it      
% under the terms of the GNU General Public License as published by the    
% Free Software Foundation; either version 2, or (at your option) any      
% later version.                                                           
%                                                                          
% Uvi_Wave is distributed in the hope that it will be useful, but WITHOUT  
% ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or    
% FITNESS FOR A PARTICULAR PURPOSE.  See the GNU General Public License    
% for more details.                                                        
%                                                                          
% You should have received a copy of the GNU General Public License        
% along with Uvi_Wave; see the file COPYING.  If not, write to the Free    
% Software Foundation, 675 Mass Ave, Cambridge, MA 02139, USA.             
%                                                                          
%       Author: Jose Martin Garcia
%       e-mail: Uvi_Wave@tsc.uvigo.es
%--------------------------------------------------------

if nargin < 2
	ro=1.02;
end

L=4096;   % number points of fft.

N=(length(poly)-1)/2;

%% Moving zeros out of unit circle
roo=(ro).^[0:2*N];
g=poly./roo;

%% Calculate complex cepstrum of secuence g
ghat=mycceps(g,L);

%% Fold the anticausal part of ghat, add it to the causal part and divide by 2
gcausal=ghat(1 : L/2);
gaux1=ghat(L/2+1 : L);
gaux2=gaux1(L/2 :-1: 1);
gantic=[0 gaux2(1 : L/2-1)];

xhat=0.5*(gcausal+gantic);

%% Calculate cepstral inversion
h=invcceps(xhat,N+1);
 
%% Low-pass filter has energie sqrt(2)
h=h*sqrt(2)/sum(h);


function  x=invcceps(xhat,L)

%INVCCEPS    Complex cepstrum Inversion
%
%	     X= INVCCEPS (CX,L) recovers X from its complex cepstrum sequence 
%	     CX. X has to be real, causal, and stable (X(z) has no zeros  
%	     outside unit circle) and x(0)>0. L is the length of the 
%	     recovered secuence.
%
%	     See also: MYCCEPS, FC_CCEPS, REMEZWAV.
%
%	     References: P.P Vaidyanathan, "Multirate Systems and Filter
%			 Banks", pp. 849-857, Prentice-Hall, 1993


%--------------------------------------------------------
% Copyright (C) 1994, 1995, 1996, by Universidad de Vigo 
%                                                      
%                                                      
% Uvi_Wave is free software; you can redistribute it and/or modify it      
% under the terms of the GNU General Public License as published by the    
% Free Software Foundation; either version 2, or (at your option) any      
% later version.                                                           
%                                                                          
% Uvi_Wave is distributed in the hope that it will be useful, but WITHOUT  
% ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or    
% FITNESS FOR A PARTICULAR PURPOSE.  See the GNU General Public License    
% for more details.                                                        
%                                                                          
% You should have received a copy of the GNU General Public License        
% along with Uvi_Wave; see the file COPYING.  If not, write to the Free    
% Software Foundation, 675 Mass Ave, Cambridge, MA 02139, USA.             
%                                                                          
%       Author: Jose Martin Garcia
%       e-mail: Uvi_Wave@tsc.uvigo.es
%--------------------------------------------------------


x=zeros(1,L);

%% First point of x
x(1)=exp(xhat(1));

%% Recursion to obtain the other point of x
for muestra=1:L-1
   for k=1:muestra
	x(muestra+1)=x(muestra+1)+k/muestra*xhat(k+1)*x(muestra-k+1);
   end
end


function xhat=mycceps(x,L)

%MYCCEPS     Complex Cepstrum
%
%	     CX = MYCCEPS (X,L) calculates complex cepstrum of the
%	     real sequence X. L is the number of points of the fft
%	     used. L is optional and its default value is 1024 points.
%
%	     See also: FC_CEPS, INVCCEPS, REMEZWAV.


%--------------------------------------------------------
% Copyright (C) 1994, 1995, 1996, by Universidad de Vigo 
%                                                      
%                                                      
% Uvi_Wave is free software; you can redistribute it and/or modify it      
% under the terms of the GNU General Public License as published by the    
% Free Software Foundation; either version 2, or (at your option) any      
% later version.                                                           
%                                                                          
% Uvi_Wave is distributed in the hope that it will be useful, but WITHOUT  
% ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or    
% FITNESS FOR A PARTICULAR PURPOSE.  See the GNU General Public License    
% for more details.                                                        
%                                                                          
% You should have received a copy of the GNU General Public License        
% along with Uvi_Wave; see the file COPYING.  If not, write to the Free    
% Software Foundation, 675 Mass Ave, Cambridge, MA 02139, USA.             
%                                                                          
%       Author: Jose Martin Garcia
%       e-mail: Uvi_Wave@tsc.uvigo.es
%--------------------------------------------------------

if nargin < 2
   L=1024;
end

H = fft(x,L);

%% H must not be zero
ind=find(abs(H)==0);
if length(ind) > 0 
   H(ind)=H(ind)+1e-25;
end

logH = log(abs(H))+sqrt(-1)*rcunwrap(angle(H));

xhat = real(ifft(logH));


function y = rcunwrap(x)
%RCUNWRAP Phase unwrap utility used by CCEPS.
%	RCUNWRAP(X) unwraps the phase and removes phase corresponding
%	to integer lag.  See also: UNWRAP, CCEPS.

%	Author(s): L. Shure, 1988
%		   L. Shure and help from PL, 3-30-92, revised
%	Copyright (c) 1984-94 by The MathWorks, Inc.
%       $Revision: 1.4 $  $Date: 1994/01/25 17:59:42 $

n = max(size(x));
y = unwrap(x);
nh = fix((n+1)/2);
y(:) = y(:)' - pi*round(y(nh+1)/pi)*(0:(n-1))/nh;