generate_signal¶

Location: signal/signal_generation.py

Description¶

generate_signal constructs a composite waveform by summing multiple sinusoidal components. Each component is assigned a random amplitude, frequency, and phase from user‑defined ranges. After generation, the composite signal is normalized—centering it around zero mean and scaling to fit a specified amplitude interval. This approach mirrors real‑world signals, which often comprise numerous harmonic elements.

Parameters¶

t (numpy.ndarray): The time vector over which the signal is sampled.
n_sinusoids (int): The number of sinusoidal components.
amplitude_range (tuple of floats): Minimum and maximum amplitudes for each sinusoid.
frequency_range (tuple of floats): Minimum and maximum frequencies for each sinusoid.

Returns¶

signal (numpy.ndarray): The composite waveform.
sinusoids_params (list of dict): Contains amp, freq, and phase for each sinusoid.

Usage Example¶

import numpy as np
import SigVarGen as svg

# Create a time vector from 0 to 1 second with 1000 samples
t = np.linspace(0, 1, 1000)

# Generate a composite signal made up of five sinusoidal components
signal, params = svg.generate_signal(
    t,
    n_sinusoids=5,
    amplitude_range=(0.1, 1.0),
    frequency_range=(24, 120)
)

print("Generated signal shape:", signal.shape)
print("Sinusoid parameters:", params)