Frequency swept signals¶

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:

In [1]:

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

Linear Chirp¶

Sample code:

In [3]:

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

Sample code:

In [4]:

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

Sample code using `vertex_zero`:

In [5]:

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

Sample code:

In [6]:

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

Sample code:

In [7]:

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

Sample code:

In [9]:

p = np.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