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scipy.signal.ShortTimeFFT.

# stft

ShortTimeFFT.stft(x, p0=None, p1=None, *, k_offset=0, padding='zeros', axis=-1)

  Perform the short-time Fourier transform.

  A two-dimensional matrix with `p1-p0` columns is calculated. The `f_pts` rows represent value at the frequencies `f`. The q-th column of the windowed FFT with the window `win` is centered at t[q]. The columns represent the values at the frequencies `f`.

  Parameters:
    xnp.ndarray

      The input signal as real or complex valued array. For complex values, the property `fft_mode` must be set to ‘twosided’ or ‘centered’.

    p0int | None

      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.

    p1int | None

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

    k_offsetint

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

    padding‘zeros’ | ‘edge’ | ‘even’ | ‘odd’

      Kind of values which are added, when the sliding window sticks out on either the lower or upper end of the input x. Zeros are added if the default ‘zeros’ is set. For ‘edge’ either the first or the last value of x is used. ‘even’ pads by reflecting the signal on the first or last sample and ‘odd’ additionally multiplies it with -1.

    axisint

      The axis of x over which to compute the STFT. If not given, the last axis is used.

  Returns:
    Snp.ndarray

      A complex array is returned with the dimension always being larger by one than of x. The last axis always represents the time slices of the STFT. axis defines the frequency axis (default second to last). E.g., for a one-dimensional x, a complex 2d array is returned, with axis 0 representing frequency and axis 1 the time slices.

  See also

  `delta_f`

    Width of the frequency bins of the STFT.

  `delta_t`

    Time increment of STFT

  `f`

    Frequencies values of the STFT.

  `invertible`

    Check if STFT is invertible.

  `istft`

    Inverse short-time Fourier transform.

  `p_range`

    Determine and validate slice index range.

  `stft_detrend`

    STFT with detrended segments.

  `t`

    Times of STFT for an input signal with n samples.

  `scipy.signal.ShortTimeFFT`

    Class this method belongs to.