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From: Warren F. <fo...@sl...> - 2006-01-27 02:35:35
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On Wed, 25 Jan 2006, Andrew Jaffe wrote: > Andrew Jaffe wrote: > > If I start with what I thought was an appropriate (n, n/2+1) complex > > matrix which should have a real inverse fft, and then take its real fft, > > I don't get back the original matrix. > > > > Note the presence of very small but nonzero reals in the final matrix, That's just roundoff. > > and the fact that the 2d and 4th rows are duplicates. This seems to be a > > mistake somewhere. > > > > Or am I just misunderstanding/misremembering something about 2d real ffts? It looks wrong to me, and I think I wrote those functions. I get the same results in Numeric. I'll try to look into the problem. > and I should point out that > delta_rp = N.dft.real_fft2d(delta_kp) > is 'allclose' to the original delta_r (which leads me to believe that I > may indeed be misunderstanding something). "Stable" does not neccessarily imply "correct". w > > Andrew > > > > > > Andrew > > > > > > In [41]: dims=(4,4) > > > > In [42]: delta_k = aniso.dft_realizn(dims, P) > > #### this just makes an appropriate matrix > > > > In [43]: delta_k > > Out[43]: > > array([[-0. +0.j , 0.5904+0.0429j, 0.9063+0.j ], > > [-0.221 +0.j , 0.4169+0.4602j, -0.6909+0.j ], > > [ 0.9059+0.j , -0.8037+0.2604j, 1.835 +0.j ], > > [ 1.7436+0.j , -0.2382+0.221j , -0.0607+0.j ]]) > > #### 16 real numbers > > > > In [44]: delta_r = N.dft.inverse_real_fft2d(delta_k) > > > > In [45]: delta_r > > Out[45]: > > array([[ 0.2718, -0.0956, 0.2805, 0.1505], > > [ 0.0297, -0.0533, -0.259 , 0.0561], > > [ 0.1308, -0.2096, 0.2288, -0.3041], > > [ 0.0895, 0.1105, -0.3188, -0.1076]]) > > > > In [46]: delta_kp = N.dft.real_fft2d(delta_r) > > > > In [47]: delta_kp > > Out[47]: > > array([[ 0. +0.00e+00j, 0.5904 +4.2938e-02j, 0.9063 +0.0000e+00j], > > [ 0.7613 +5.5511e-17j,0.4169 +4.6020e-01j, -0.3758 +5.5511e-17j], > > [ 0.9059 +0.0000e+00j,-0.8037+2.6038e-01j, 1.835 +0.0000e+00j], > > [ 0.7613 -5.5511e-17j,-0.2382+2.2099e-01j,-0.3758-5.5511e-17j]]) > > > > In [48]: N.__version__ > > Out[48]: '0.9.5.1982' > > ------------------------ > > > > ------------------------------------------------------- > This SF.net email is sponsored by: Splunk Inc. Do you grep through log files > for problems? Stop! Download the new AJAX search engine that makes > searching your log files as easy as surfing the web. DOWNLOAD SPLUNK! > http://sel.as-us.falkag.net/sel?cmd=lnk&kid=103432&bid=230486&dat=121642 > _______________________________________________ > Numpy-discussion mailing list > Num...@li... > https://lists.sourceforge.net/lists/listinfo/numpy-discussion > |