annotate ddm_fft_2.m @ 4:72c011ed1977 tip

more elaborate example with non-stat. estimate explanation
author smusevic
date Tue, 30 Jul 2013 09:56:27 +0100
parents a4a7e3405062
children
rev   line source
dan@0 1 function [df2,A_sys,b_sys] = ddm_fft_2(win, win_der, mf_ders, sig, N, N_fft, fs)
dan@0 2 R = 2;
dan@0 3 Q = R; % nr of unknows is the same as the number of model funcs, fact!
dan@0 4 [A_sys b_sys] = ddm_lin_sys_fft(Q,R,win, win_der, mf_ders, sig, N, N_fft, fs);
dan@0 5 % A_sys1 = cat(2,shiftdim(A(1:N_fft-1,1),-2),shiftdim(A(1:N_fft-1,2),-2));
dan@0 6 % A_sys2 = cat(2,shiftdim(A(2:N_fft ,1),-2),shiftdim(A(2:N_fft ,2),-2));
dan@0 7 % A_sys = cat(1,A_sys1,A_sys2);
dan@0 8 % b_sys = cat(1,shiftdim(b(1:N_fft-1).',-1),shiftdim(b(2:N_fft).', -1));
dan@0 9 % A_sys = A_sys_;
dan@0 10 % b_sys = b_sys_;
dan@0 11 df2 = lin_solve_dgr_2(A_sys,b_sys,N_fft-1); %hardcoded degree 2 solver (fast)
dan@0 12 end