[SciPy-User] frequency components of a signal buried in a noisy time domain signal
Sat Feb 27 12:41:04 CST 2010
On Sat, Feb 27, 2010 at 1:31 PM, Charles R Harris
> On Sat, Feb 27, 2010 at 11:02 AM, Robert Kern <email@example.com> wrote:
>> On Sat, Feb 27, 2010 at 04:02, Ivo Maljevic <firstname.lastname@example.org>
>> > David,
>> > Nice way of avoiding log2, but how do you determine the length of your
>> > tab
>> > array?
>> The input arrays can only be so large. Even on 64-bit machines, the
>> table need not have more than 64 entries.
>> tab = 2 ** np.arange(np.iinfo(np.intp).bits)
> tab = 1 << arange(iinfo(intp).bits - 1)
I think I prefer a readable solution to this for calls that are not in
an inner loop.
scipy.signal.fftconvolve uses the same as Ivo's solution
<< means it's much larger than 1 ?
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