function [h,g,a,info] = wfilt_oddevena(N)
%WFILT_ODDEVENA Kingsbury's symmetric even filters
%
% Usage: [h,g,a] = wfilt_oddevena(N);
%
% [h,g,a]=WFILT_ODDEVENA(N) with N in {1} returns Kingsbury's
% even filters.
%
% Examples:
% ---------
% :
% figure(1);
% wfiltinfo('ana:oddevena1');
%
% figure(2);
% wfiltinfo('syn:oddevena1');
%
% References:
% N. Kingsbury. Complex wavelets for shift invariant analysis and
% filtering of signals. Applied and Computational Harmonic Analysis,
% 10(3):234 -- 253, 2001.
%
%
% Url: http://ltfat.github.io/doc/wavelets/wfilt_oddevena.html
% Copyright (C) 2005-2023 Peter L. Soendergaard <peter@sonderport.dk> and others.
% This file is part of LTFAT version 2.6.0
%
% 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/>.
% AUTHOR: Zdenek Prusa
info.istight = 0;
a = [2;2];
switch(N)
case 1
% Example 1. from the reference. Symmetric near-orthogonal
garr = [
0 0
0 0
0 -0.0004645
0 0.0013349
-0.0058109 0.0022006
0.0166977 -0.0130127
-0.0000641 0.0015360
-0.0834914 0.0869008
0.0919537 0.0833552
0.4807151 -0.4885957
0.4807151 0.4885957
0.0919537 -0.0833552
-0.0834914 -0.0869008
-0.0000641 -0.0015360
0.0166977 0.0130127
-0.0058109 -0.0022006
0 -0.0013349
0 0.0004645
0 0
0 0
];
% This scaling is not in the reference paper, but it is here to be
% consistent
garr = garr*sqrt(2);
%garr = setnorm(garr,'energy');
offset = -10;
otherwise
error('%s: No such filters.',upper(mfilename));
end
%garr = [garr(:,3:4),garr(:,1:2)];
modrange = (-1).^((0:size(garr,1)-1) + offset+1).';
modrange2 = (-1).^((0:size(garr,1)-1) + offset).';
harr = [garr(:,2).*modrange2,...
garr(:,1).*modrange,...
];
% In the biorthogonal case, the filters do not get time reversed
garr = flipud(garr);
htmp=mat2cell(harr,size(harr,1),ones(1,size(harr,2)));
h = cellfun(@(hEl)struct('h',hEl,'offset',offset),htmp(1:2),...
'UniformOutput',0);
gtmp=mat2cell(garr,size(garr,1),ones(1,size(garr,2)));
g = cellfun(@(gEl)struct('h',gEl,'offset',offset),gtmp(1:2),...
'UniformOutput',0);