




cont_kernel(n,
k,
norm=2,
kernel=<function window at 0x42add70>)
Make a window with width n, except that it changes continuously when
n is a floating point number. 
source code



xexp(a)
exp(a), except protected from underflows. 
source code





near_win_size(near=None,
tol=None,
min=None,
max=None,
real=False)
Find a window size near the specified size where the FFT algorithm is
fastest. 
source code



frommid_generator(s,
e)
Generate numbers in [s,e] starting at the midpoint. 
source code



near_win_size_real(near=None,
tol=None,
min=None,
max=None) 
source code











fft_freq(n,
d=1.0)
Returns an array of indices whose frequencies are between f0 and f1
after you've called fft(). 
source code



fft_indices(f0,
f1,
n,
d=1.0)
Returns an array of indices whose frequencies are between f0 and f1
after you've called real_fft(). 
source code


numpy.ndarray



real_fft_indices(f0,
f1,
n,
d=1.0)
Returns the indices whose frequencies are between f0 and f1 after
you've called real_fft(). 
source code



dataprep_flat_real(data,
dt,
edgewidth,
pad=None) 
source code



dataprep_flat(data,
dt,
edgewidth,
pad=None) 
source code



dataprep_flat_generic(data,
dt,
edgewidth,
pad,
isreal)
Pad the data, subtract the average, and round the edges of the
window. 
source code



dataprep2_flat_generic(data,
dt,
edgewidth,
pad,
isreal)
Pad the data, subtract the average, and round the edges of the
window. 
source code















pink_noise(n)
Create pink noise where the power spectral density goes as 1/f
(except right at f=0). 
source code

