`scipy.signal._waveforms:gausspulse`

source: build-install/usr/lib/python3.14/site-packages/scipy/signal/_waveforms.py:152

Signature

def gausspulse(t, fc = 1000, bw = 0.5, bwr = -6, tpr = -60, retquad = False, retenv = False)

Summary

Return a Gaussian modulated sinusoid.

Extended Summary

The formula for the returned signal is given by

exp(-a t^2) exp(1j*2*pi*fc*t)

If retquad is True, then return the real and imaginary parts (in-phase and quadrature). If retenv is True, then return the envelope (unmodulated signal). Otherwise, return the real part of the modulated sinusoid.

Parameters

t : ndarray or 'cutoff': Input array.
fc : float, optional: Center frequency (e.g. Hz). Default is 1000.
bw : float, optional: Fractional bandwidth in frequency domain of pulse (e.g. Hz). Default is 0.5.
bwr : float, optional: Reference level at which fractional bandwidth is calculated (dB). Default is -6.
tpr : float, optional: If t is 'cutoff', then the function returns the cutoff time for when the pulse amplitude falls below tpr (in dB). Default is -60.
retquad : bool, optional: If True, return the quadrature (imaginary) as well as the real part of the signal. Default is False.
retenv : bool, optional: If True, return the envelope of the signal. Default is False.

Returns

yI : ndarray: Real part of signal. Always returned.
yQ : ndarray: Imaginary part of signal. Only returned if retquad is True.
yenv : ndarray: Envelope of signal. Only returned if retenv is True.

Examples

Plot real component, imaginary component, and envelope for a 5 Hz pulse, sampled at 100 Hz for 2 seconds:

import numpy as np
from scipy import signal
import matplotlib.pyplot as plt
t = np.linspace(-1, 1, 2 * 100, endpoint=False)
i, q, e = signal.gausspulse(t, fc=5, retquad=True, retenv=True)

✓

plt.plot(t, i, t, q, t, e, '--')

✗

[<matplotlib.lines.Line2D object at 0x7f3f60e61e80>, <matplotlib.lines.Line2D object at 0x7f3f60e61fd0>, <matplotlib.lines.Line2D object at 0x7f3f60e62120>]

Aliases

scipy.signal.gausspulse