This page demonstrates two functions in scipy.signal for generating frequency-swept signals: chirp and sweep_poly.

Some of these require SciPy 0.8.

To run the code samples, you will need the following imports:

    import numpy as np
    from scipy.signal import chirp, sweep_poly

Linear Chirp

Sample code:

    t = np.linspace(0, 10, 5001)
    w = chirp(t, f0=12.5, f1=2.5, t1=10, method='linear')

Quadratic Chirp

Sample code:

    t = np.linspace(0, 10, 5001)
    w = chirp(t, f0=12.5, f1=2.5, t1=10, method='quadratic')

Sample code using vertex_zero:

    t = np.linspace(0, 10, 5001)
    w = chirp(t, f0=12.5, f1=2.5, t1=10, method='quadratic', vertex_zero=False)

Logarithmic Chirp

Sample code:

    t = np.linspace(0, 10, 5001)
    w = chirp(t, f0=12.5, f1=2.5, t1=10, method='logarithmic')

Hyperbolic Chirp

Sample code:

    t = np.linspace(0, 10, 5001)
    w = chirp(t, f0=12.5, f1=2.5, t1=10, method='hyperbolic')

Sweep Poly

Sample code:

    p = poly1d([0.05, -0.75, 2.5, 5.0])
    t = np.linspace(0, 10, 5001)
    w = sweep_poly(t, p)

The script that generated the plots is here:

chirp_plot.py

Cookbook/FrequencySweptDemo (last edited 2011-05-19 01:34:43 by Warren Weckesser)