pyule¶
Context¶
Example¶
In the following example, we use pyule to analyse 1000 noisy signals. We plot them in gray and the average in red.
from spectrum import pyule
from scipy.signal import lfilter
from pylab import plot, mean, log10, randn
from numpy import array
allpsds = []
a = array([1,-2.2137,2.9403,-2.1697,0.9606])
for this in range(1000):
x = lfilter([1], a, randn(1,256))
p = pyule(x[0],4, scale_by_freq=False, NFFT=256)
p.plot(color='gray', alpha=0.1)
allpsds.append(p.psd)
plot(p.frequencies(), 10*log10(mean(allpsds, axis=0)), "red")
![../_images/sphx_glr_plot_yule_001.png](../_images/sphx_glr_plot_yule_001.png)
Total running time of the script: (0 minutes 2.343 seconds)
Download Python source code:
plot_yule.py
Download IPython notebook:
plot_yule.ipynb