scipy.signal.ShortTimeFFT.
t#
- ShortTimeFFT.t(n, p0=None, p1=None, k_offset=0)[source]#
- Times of STFT for an input signal with n samples. - Returns a 1d array with times of the - stftvalues with the same parametrization. Note that the slices are- delta_t = hop * Ttime units apart.- Parameters:
- n
- Number of sample of the input signal. 
- p0
- The first element of the range of slices to calculate. If - Nonethen it is set to- p_min, which is the smallest possible slice.
- p1
- The end of the array. If - Nonethen 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.