scipy.signal.ShortTimeFFT.nearest_k_p

ShortTimeFFT.nearest_k_p(k, left=True)

Return nearest sample index k_p for which t[k_p] == t[p] holds.

The nearest next smaller time sample p (where t[p] is the center position of the window of the p-th slice) is p_k = k // hop. If hop is a divisor of k than k is returned. If left is set than p_k * hop is returned else (p_k+1) * hop.

This method can be used to slice an input signal into chunks for calculating the STFT and iSTFT incrementally.

See also

delta_t

Time increment of STFT (hop*T)

hop

Time increment in signal samples for sliding window.

T

Sampling interval of input signal and of the window (1/fs).

fs

Sampling frequency (being 1/T)

t

Times of STFT for an input signal with n samples.

ShortTimeFFT

Class this method belongs to.