scipy.signal.ShortTimeFFT.t

ShortTimeFFT.t(n, p0=None, p1=None, k_offset=0)

Times of STFT for an input signal with n samples.

Returns a 1d array with times of the stft values with the same parametrization. Note that the slices are delta_t = hop * T time units apart.

Parameters:

n

Number of sample of the input signal.

x

The input signal as real or complex valued array.

p0

The first element of the range of slices to calculate. If None then it is set to p_min, which is the smallest possible slice.

p1

The end of the array. If None then p_max(n) is used.

k_offset

Index of first sample (t = 0) in x.

See also

delta_t

Time increment of STFT (hop*T)

hop

Time increment in signal samples for sliding window.

nearest_k_p

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

T

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

fs

Sampling frequency (being 1/T)

ShortTimeFFT

Class this method belongs to.