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A few more tweaks, and add the file nfft.dat of efficient FFT lengths.

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git-svn-id: svn+ssh://svn.code.sf.net/p/wsjt/wsjt/branches/wsjtx@4837 ab8295b8-cf94-4d9e-aec4-7959e3be5d79
This commit is contained in:
Joe Taylor 2014-12-18 20:53:16 +00:00
parent 1889b24c78
commit c628013582
4 changed files with 2235 additions and 163 deletions
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5
lib/chkfft.txt
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@ -113,3 +113,8 @@ Test data for all transforms is gaussian random noise of zero mean and
standard deviation 1. Tabulated values of "rms" are the standard deviation 1. Tabulated values of "rms" are the
root-mean-square differences between the original data and the root-mean-square differences between the original data and the
back-transfmred data. back-transfmred data.
File nfft.dat contains all numbers between 2^3 and 2^23 that have
no factor greater than 7, followed by their factors. These numbers
are good choices for FFT lengths.

2
lib/four2a.f90
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@ -19,7 +19,7 @@ subroutine four2a(a,nfft,ndim,isign,iform)
! This version of four2a makes calls to the FFTW library to do the ! This version of four2a makes calls to the FFTW library to do the
! actual computations. ! actual computations.
parameter (NPMAX=100) !Max numberf of stored plans parameter (NPMAX=2100) !Max numberf of stored plans
parameter (NSMALL=16384) !Max size of "small" FFTs parameter (NSMALL=16384) !Max size of "small" FFTs
complex a(nfft) !Array to be transformed complex a(nfft) !Array to be transformed
complex aa(NSMALL) !Local copy of "small" a() complex aa(NSMALL) !Local copy of "small" a()

2067
lib/nfft.dat Normal file
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