# scipy.signal.gausspulse¶

scipy.signal.gausspulse(t, fc=1000, bw=0.5, bwr=-6, tpr=-60, retquad=False, retenv=False)[source]

Return a Gaussian modulated sinusoid:

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 the string ‘cutoff’ Input array. fc : int, 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. 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:

>>> 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, '--')


#### Previous topic

scipy.signal.chirp

#### Next topic

scipy.signal.max_len_seq