[SciPy-Dev] Accuracy of single-precision FFT
Thu Jun 24 12:41:01 CDT 2010
I'm not sure exactly what you're listing here, but I wrote a test
program to compare single- and double-precision FFTs using FFTW; the
root-mean-squared fractional errors are:
We can't use FFTW, unfortunately, but it's clear that prime-size FFTs
can do much better than we are. (Though what exactly is the definition
of the errors, below?) FFTW does this, IIRC, by not actually doing
prime-size FFTs; they have some scheme by which the prime-size FFT is
viewed as a convolution, then padded and computed with a
On 24 June 2010 12:22, Pauli Virtanen <email@example.com> wrote:
> Thu, 24 Jun 2010 22:31:52 +0800, Ralf Gommers wrote:
> [clip: significant errors in float32 fft in Scipy]
>>> 1 0.0
>>> 17 4.76837e-07
>>> 37 2.98023e-06
>>> 97 0.000104427
>>> 313 0.000443935
>>> 701 0.00112867
>>> 1447 0.00620008
>>> 2011 0.0138307
>>> 3469 0.16958
>>> So even decimal=4 would fail for 97 already. For larger primes the FFT
>>> should be slower but not less accurate, right?
>> Any opinion on this? Is it easily fixable? This is the last thing
>> holding up 0.8.0 I think, can we mark it knownfail for that or does
>> anyone think it's important enough to delay the release for?
> IIRC, single precision (float32) FFT is a new feature in Scipy 0.8, and
> was not present in earlier releases. I think Numpy and previous versions
> of Scipy were doing the FFT all the time in double precision (check
> There are now two possibilities:
> 1) the single precision FFT in Scipy works incorrectly,
> 2) the single precision FFT in Scipy works correctly, but the precision
> unavoidably sucks for large arrays.
> I guess (2) is more likely here.
> Moreover, I would guess the error is the largest in the high-frequency
> components, but remains low in at low frequencies.
> The main question for the release, IMO, is:
> Should the single-precision FFT implementation be used
> by default if input data is single precision?
> I'm not completely convinced it should be, since if (2) is true, then
> this may surprise some people who expect more accuracy.
> Perhaps it should be put as a keyword option instead, or just split the
> functionality to different functions. I think we should maybe delay the
> release until we are sure which way is best to take here.
> David, any comments?
> Pauli Virtanen
> SciPy-Dev mailing list
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