haar.wvf

小波压缩编码平台软件包

% Haar wavelet
%
% H = (y - x) * (1 / sqrt(2))
% L = (x + y) * (1 / sqrt(2))
%    
% Prediction    -> y' = y - x  
% Update        -> x' = x + 0.5 * y' = (x + y)/2 
% Normalisation -> H  = y' * (1 / sqrt(2))
%                  L  = x' *  sqrt(2) = sqrt(2) * x + H
%      
% |1  -1| |1    0||sqrt(2)      0|
% |     | |      ||              |
% |0   1| |0.5  1||0    1/sqrt(2)|

%wvf_type
 SYMMETRIC_EVEN
%lift_coeff
-1.0
 0.5
%lift_cnct
 10
 01
%lift_norm
 1.41421356237310
 0.70710678118655
%filt_AL - symmetric
 0, 0.707106781187
 1, 0.707106781187
%filt_AH - antisymmetric
-1,-0.707106781187
 0, 0.707106781187
%filt_SL - can be deduced from filt_AH
%filt_SH - can be deduced from filt_AL