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📄 examp_dgt.m

📁 Matlab时频分析工具箱,希望能对大家有所帮助啊
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%EXAMP_DGT  How to call a DGT%%   This script sets up a Gabor frame with the specified%   parameters (a, M, L defined below), computes a window%   and the corresponding canonical dual  window and a test signal,%   and plots the windows and the energy of the coefficients.%%   FIGURE 1 window+dual%%    This figure shows a Gaussian used as the window function%    and its canonical dual. %%   FIGURE 2 absolute value of coefficients%%    This figure shows a (color coded) image of the dgt coefficient%    modulus. %%   SEE ALSO:  DGT, IDGT, PGAUSS% 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/>.disp('Type "help examp_dgt" to see a description of how this example works.');% Setup parameters and length of signal.% Not that it must hold that L=M*b=N*a for some integers% M and N, and that a*b <= LL=480;  % Length of signal.a=20;   % Time shift.M=24;   % Number of modulations.% From the parameters L, a and M we can calculate:b=L/M;  % Length of frequency shift.N=L/a;  % Number of time shifts.% Get a good window and its canonical dual.g=pgauss(L,a/b);gamma=candual(g,a,M);% Plot them:% Standard note on plotting:%% - The windows are all centered around zero, but this%   is not visually pleasing, so the window must be%   shifted to the middle by an FFTSHIFTfigure(1);subplot(2,1,1);plot(fftshift(g));title('Periodized gaussian.');legend('off');subplot(2,1,2);plot(fftshift(gamma));title('Canonical dual window.');legend('off');% Setup a complex test signal.ftest=ctestfun(L);% Calculate coefficients.coef=dgt(ftest,gamma,a,M);% Plotfigure(2);imagesc(log(abs(coef)));title('DGT magnitude logarithm');if ~isoctave    set(gca,'ydir','normal');    xlabel('Time');    ylabel('Frequency');end% Test reconstructionftest_r=idgt(coef,g,a);% Print relative error of reconstruction.disp('');%disp('Relative error of reconstruction, should be close to zero.');rec_err = norm(ftest-ftest_r)/norm(ftest);fprintf('Relative error of reconstruction (should be close to zero.):    %e \n',rec_err);

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