?? dwtjm.m
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function [Wout, Vout] = dwtjm(Vin, h, g, j)% dwtjm -- Calculate jth level DWT coefficients (MATLAB implementation).%%****f* wmtsa.dwt/dwtjm%% NAME% dwtjm -- Calculate jth level DWT coefficients (MATLAB implementation).%% USAGE% [Wout, Vout] = dwtjm(Vin, h, g, j)%% INPUTS% * Vin -- Input series for j-1 level (i.e. DWT scaling coefficients) % * h -- DWT wavelet filter coefficients.% * g -- DWT scaling filter coefficients.% * j -- level (index) of scale.%% OUTPUTS% * Wout -- DWT wavelet coefficients for jth scale.% * Vout -- DWT scaling coefficients for jth scale.%%% SIDE EFFECTS%%% DESCRIPTION% dwtjm is an implementation in MATLAB code of the DWT transform for % the jth level, and is included in the toolkit for illustrative purposes % to demonstrate the pyramid algothrim.%% For speed considerations, the dwt function uses the C implementation of % the DWT transform, modwtj, which linked in as a MEX function.%% EXAMPLE% X = wmtsa_data('ecg');% wtf = dwt_filter('haar');% % Compute the j = 1 level coefficients for ECG time series.% j = 1;% [Wout, Vout] = dwtjm(X, h, g, j);%% NOTES%%% BUGS%%% TODO%%% ALGORITHM% See page 100-101 of WMTSA for DWT pyramid algorithm.%% REFERENCES%%% SEE ALSO% dwtj, dwt, dwt_filter%% TOOLBOX% wmtsa%% CATEGORY% dwt%% AUTHOR% Charlie Cornish%% CREATION DATE% 2005-Sep-03%% COPYRIGHT% (c) 2005 Charles R. Cornish%% MATLAB VERSION% 7.0%% CREDITS%%% REVISION% $Revision: 612 $%%***% $Id: dwtjm.m 612 2005-10-28 21:42:24Z ccornish $%% Set Defaults usage_str = ['[Wout, Vout] = ', mfilename, '(Vin, h, g, j)']; %% Check arguments.error(nargerr(mfilename, nargin, [4:4], nargout, [0:3], 1, usage_str, 'struct'));M = length(Vin);L = length(h);Wout = repmat(NaN, [M/2, 1]);Vout = repmat(NaN, [M/2, 1]);for (t = 1:M/2) u = 2*t; Wout(t) = h(1) * Vin(u); Vout(t) = g(1) * Vin(u); for (n = 2:L) u = u - 1; if (u < 1) u = M; end Wout(t) = Wout(t) + h(n) * Vin(u); Vout(t) = Vout(t) + g(n) * Vin(u); endendreturn
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