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apply_time_warp

apply_time_warp

Location: variations/transformations.py

Description

apply_time_warp modifies the time axis of a signal, compressing or expanding sections to create nonlinear distortions. This function is useful for modeling variable-speed processes, signal stretching, or real-world timing irregularities.

Notes

  • The time axis is scaled by a random factor in the range [1 - max_warp_factor, 1 + max_warp_factor].
  • Missing parts introduced by warping are replaced using a newly generated signal segment, ensuring smooth continuity.

Parameters

  • wave (numpy.ndarray):
    The input waveform to be warped.

  • max_warp_factor (float):
    The maximum factor for time warping (values close to 1 result in minimal warping).

  • t (numpy.ndarray):
    Time vector of the signal.

  • n_sinusoids (int):
    Number of sinusoids in the generated replacement signal.

  • amplitude_range (tuple of float):
    Amplitude range for the replacement signal.

  • base_frequency_range (tuple of float):
    Frequency range for the replacement signal.

Returns

  • warped_wave (numpy.ndarray):
    The time-warped waveform.

Usage Example

warped_wave = svg.apply_time_warp(wave, 0.1, t, 5, (0.1, 1.0), (10, 100))