dctiii.m
来自「Matlab时频分析工具箱,希望能对大家有所帮助啊」· M 代码 · 共 102 行
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102 行
function c=dctiii(f,L,dim)%DCTIII Discrete Consine Transform type III% Usage: c=dctiii(f);% c=dctiii(f,L);% c=dctiii(f,[],dim);% c=dctiii(f,L,dim);%% DCTIII(f) computes the discrete consine transform of type III of the% input signal f. If f is a matrix, then the transformation is applied to% each column. For N-D arrays, the transformation is applied to the first% dimension.%% DCTIII(f,L) zero-pads or truncates f to length L before doing the% transformation.%% DCTIII(f,[],dim) applies the transformation along dimension dim. % DCTIII(f,L,dim) does the same, but pads or truncates to length L.%% The transform is real (output is real if input is real) and% it is orthonormal.%% This is the inverse of DCTII%% Let f be a signal of length L, let c=DCTIII(f) and define the vector% w of length L by % w = [1/sqrt(2) 1 1 1 1 ...]% Then % % L-1% c(n+1) = sqrt(2/L) * sum w(n+1)*f(m+1)*cos(pi*(n+.5)*m/L) % m=0 %% SEE ALSO: DCTII, DCTIV, DSTII%% REFERENCES:% K. Rao and P. Yip. Discrete Cosine Transform, Algorithms, Advantages,% Applications. Academic Press, 1990.% % M. V. Wickerhauser. Adapted wavelet analysis from theory to software.% Wellesley-Cambridge Press, Wellesley, MA, 1994.% 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/>.error(nargchk(1,3,nargin));if nargin<3 dim=[];end;if nargin<2 L=[];end;[f,L,Ls,W,dim,permutedsize,order]=assert_sigreshape_pre(f,L,dim,'DCTIII');if ~isempty(L) f=postpad(f,L);end;c=zeros(2*L,W);m1=1/sqrt(2)*exp(-(0:L-1)*pi*i/(2*L)).';m1(1)=1; m2=1/sqrt(2)*exp((L-1:-1:1)*pi*i/(2*L)).';for w=1:W c(:,w)=[m1.*f(:,w);0;m2.*f(L:-1:2,w)];end;c=fft(c)/sqrt(L);c=c(1:L,:);if isreal(f) c=real(c);end;c=assert_sigreshape_post(c,dim,permutedsize,order);% This is a slow, but convenient way of expressing the above algorithm.%R=1/sqrt(2)*[diag(exp(-(0:L-1)*pi*i/(2*L)));...% zeros(1,L); ...% [zeros(L-1,1),flipud(diag(exp((1:L-1)*pi*i/(2*L))))]];%R(1,1)=1;%c=fft(R*f)/sqrt(L);%c=c(1:L,:);
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