apply_baseline_drift

apply_baseline_drift

Location: variations/transformations.py

---

Description

apply_baseline_drift introduces a linear shift in a signal’s baseline, simulating gradual sensor drift, environmental changes, or instrument degradation. The drift can increase or decrease over time, depending on the selected parameters.

---

Notes

• The maximum drift amplitude is randomly chosen within the range [-max_drift, max_drift].
• If reversed=True, the drift starts at its peak and returns to zero.
• When reversed=False, the drift gradually increases from zero.

---

Parameters

• wave (numpy.ndarray):
  The input waveform.

• max_drift (float):
  The maximum drift applied to the signal’s baseline.

• reversed (bool, optional):
  If True, the drift starts at its maximum and reduces to zero.
  Default: False.

---

Returns

• drifted_wave (numpy.ndarray):
  The waveform with the applied baseline drift.

---

Usage Example

import SigVarGen as svg

drifted_wave = svg.apply_baseline_drift(wave, 0.1, reversed=True)