This is an archival dump of old wiki content --- see scipy.org for current material.

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')```

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:

SciPy: Cookbook/FrequencySweptDemo (last edited 2015-10-24 17:48:23 by anonymous)