?? modwtjm.m
字號:
function [Wtout, Vtout] = modwtjm(Vtin, ht, gt, j)% modwtjm -- Calculate jth level MODWT coefficients (MATLAB implementation).%%****f* wmtsa.dwt/modwtjm%% NAME% modwtjm -- Calculate jth level MODWT coefficients (MATLAB implementation).%% SYNOPSIS% [Wtout, Vtout] = modwtjm(Vtin, ht, gt, j)%% INPUTS% * Vtin -- Input series for j-1 level (i.e. MODWT scaling coefficients) % * ht -- MODWT wavelet filter coefficients.% * gt -- MODWT scaling filter coefficients.% * j -- level (index) of scale.%% OUTPUTS% * Wtout -- MODWT wavelet coefficients for jth scale.% * Vtout -- MODWT scaling coefficients for jth scale.%% SIDE EFFECTS%%% DESCRIPTION% modwtjm is an implementation in MATLAB code of the MODWT transform for % the jth level, and is included in the toolkit for illustrative purposes % to demonstrate the pyramid algothrim.%% For speed considerations, the modwt function uses the C implementation of % the MODWT transform, modwtj, which linked in as a MEX function.%% EXAMPLE% X = wmtsa_data('ecg');% wtf = modwt_filter('la8');% % Compute the j = 1 level coefficients for ECG time series.% j = 1;% [Wtout, Vtout] = modwtjm(X, wft.h, wtf.g, j);%% WARNINGS%%% ERRORS%%% NOTES%%% BUGS%%% TODO%%% ALGORITHM% See page 177-178 of WMTSA for pyramid algorithm.%% REFERENCES%%% SEE ALSO% modwtj, modwt, modwt_filter%% TOOLBOX% wmtsa%% CATEGORY% dwt%% AUTHOR% Charlie Cornish%% CREATION DATE% 2005-01-12%% COPYRIGHT% %% CREDITS%%% REVISION% $Revision: 612 $%%***% $Id: modwtjm.m 612 2005-10-28 21:42:24Z ccornish $ usage_str = ['Usage: [Wtout, Vtout] = ', mfilename, ... '(Vtin, ht, gt, j)']; %% Check input arguments and set defaults. error(nargerr(mfilename, nargin, [4:4], nargout, [0:2], 1, usage_str, 'struct')); N = length(Vtin); L = length(ht); Wtout = zeros(N, 1) * NaN; Vtout = zeros(N, 1) * NaN; for (t = 1:N) k = t; Wtout(t) = ht(1) * Vtin(k); Vtout(t) = gt(1) * Vtin(k); for (n = 2:L) k = k - 2^(j-1); if (k < 1) k = k + N; end Wtout(t) = Wtout(t) + ht(n) * Vtin(k); Vtout(t) = Vtout(t) + gt(n) * Vtin(k); end end return
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