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function [h,g,a,info] = wfilt_hden(K)
%-*- texinfo -*-
%@deftypefn {Function} wfilt_hden
%@verbatim
%WFILT_HDEN Higher DENsity dwt filters (tight frame, frame)
% Usage: [h,g,a] = wfilt_hden(K);
%
% [h,g,a]=WFILT_HDEN(K) with K in {1,2,3,4} returns Higher DENsity
% dwt filters (tight frame, frame) from the reference. The filterbanks
% have 3 channels and unusual non-uniform subsamplig factors [2,2,1].
%
% Examples:
% ---------
% :
% wfiltinfo('hden3');
%
% :
% wfiltinfo('ana:hden4');
%
% References:
% I. Selesnick. A higher density discrete wavelet transform. IEEE
% Transactions on Signal Processing, 54(8):3039--3048, 2006.
%
%
%
%@end verbatim
%@strong{Url}: @url{http://ltfat.github.io/doc/wavelets/wfilt_hden.html}
%@end deftypefn
% Copyright (C) 2005-2016 Peter L. Soendergaard <peter@sonderport.dk>.
% This file is part of LTFAT version 2.3.1
%
% 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/>.
% AUTHOR: Zdenek Prusa
a= [2;2;1];
info.istight = 1;
switch(K)
case 1
% from the paper Example 1.
garr = [
0 0 0
0.353553390593274 0.353553390593274 0.5
0.707106781186548 0 -0.5
0.353553390593274 -0.353553390593274 0
];
d = [-2,-2,-2];
case 2
% from the paper Example 2.
garr = [
0 0 0
0.189604909379 0.025752563665 0.010167956157
0.631450512121 0.075463998066 0.046750380120
0.655505518357 -0.064333341412 -0.009172584871
0.099615139800 -0.327704691428 -0.354664087684
-0.163756210215 0.228185687127 0.499004628714
-0.023958870736 0.252240693362 -0.192086292435
0.025752563665 -0.189604909379 0
];
d = [-3,-5,-5];
case 3
% from the paper Example 3.
garr = [
0 0 0
0.022033327573 0.048477254777 0.031294135831
0.015381522616 0.019991451948 0.013248398005
-0.088169084245 -0.304530024033 -0.311552292833
0.051120949834 0.165478923930 0.497594326648
0.574161374258 0.308884916012 -0.235117092484
0.717567366340 -0.214155508410 -0.020594576659
0.247558418377 -0.074865474330 0.015375249485
-0.076963057605 0.028685132531 0.009751852004
-0.048477254777 0.022033327573 0
];
d = [-6,-4,-4];
case 4
info.istight = 0;
% from the paper Example 5. Is not a tight frame!
harr = [
0 0 0
0 0 0
0.027222 0.044889 0
0.011217 0.005671 0.027671
-0.112709 -0.286349 0.007159
0.096078 0.235789 -0.277671
0.685299 0.235789 0.485682
0.685299 -0.286349 -0.277671
0.096078 0.005671 0.007159
-0.112709 0.044889 0.027671
0.011217 0 0
0.027222 0 0
];
d = [-5,-5,-5];
harr = flipud(harr);
h=mat2cell(harr,size(harr,1),ones(1,size(harr,2)));
h=cellfun(@(gEl,dEl) struct('h',gEl,'offset',dEl),h,num2cell(d),...
'UniformOutput',0);
garr = [
0 0 0
-0.039237 0.023794 0.011029
-0.073518 0.037784 0.019204
0.181733 -0.070538 -0.020024
0.638129 -0.253037 -0.269204
0.638129 0.261996 0.517991
0.181733 0.261996 -0.269204
-0.073518 -0.253037 -0.020024
-0.039237 -0.070538 0.019204
0 0.037784 0.011029
0 0.023794 0
0 0 0
];
g=mat2cell(garr,size(garr,1),ones(1,size(garr,2)));
g=cellfun(@(gEl,dEl) struct('h',gEl,'offset',dEl),g,num2cell(d),...
'UniformOutput',0);
return;
otherwise
error('%s: No such Higher Density Wavelet Transform Filters..',upper(mfilename));
end
%garr = flipud(harr);
g=mat2cell(garr,size(garr,1),ones(1,size(garr,2)));
g = cellfun(@(gEl,dEl) struct('h',gEl,'offset',dEl),g,num2cell(d),'UniformOutput',0);
h = g;
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