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add_periodic_interrupts

add_periodic_interrupts

Location: signal/response_signals.py

Description

add_periodic_interrupts introduces periodic digital interruptions into a base signal. It applies binary modulated interruptions in two distinct phases: 1. Before and after the main interruption. 2. During the main interruption.

Parameters

  • base_signal (numpy.ndarray): The original signal to which periodic interruptions will be added.

  • amplitude_range (tuple of float): The (min, max) amplitude range of the device.

  • inter_sig (numpy.ndarray): The interrupt signal to be modulated and inserted into the base signal.

  • start_idx (int): The start index of the main interruption.

  • duration_idx (int): The duration (in samples) of the main interruption.

  • length (int, optional): The default length of the periodic signals if base_pattern is None (default: 450).

  • base_pattern, base_pattern_2 (list of int, optional): Binary sequences representing the two periodic interruption patterns.

  • If None, defaults to [0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1].

  • flip_probability, flip_probability_2 (float, optional): The probability of flipping bits in each periodic pattern (default: 0.1).

  • offset (float): The amplitude offset applied to interruptions.

Returns

  • modified_signal (numpy.ndarray): The modified base signal containing periodic interruptions.

Usage Example

import numpy as np
import SigVarGen as svg

# Example base signal
base_signal = np.ones(1000)

# Example periodic interrupt waveform
inter_sig = np.sin(np.linspace(0, np.pi, 1000))

# Apply periodic interruptions
modified_signal = svg.add_periodic_interrupts(
    base_signal=base_signal,
    length=1000,
    amplitude_range=(0, 2),
    inter_sig=inter_sig,
    start_idx=300,
    duration_idx=100,
    offset=0.5
)

print("Modified Signal (First 350 Samples):", modified_signal[:350])