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#!/usr/bin/env python
#
# Do a single autocorrelation over the whole test.16.14.25.iq file
#
# Licence: see LICENCE file
import numpy as np
import matplotlib.pyplot as pp
file_in = "test.16.14.25.iq"
channel_out = np.fromfile(file_in, np.complex64)
print("Autocorrelating")
correlationlength = 50
def autocorrelate(x, length):
return np.array([1] + [np.abs(np.corrcoef(x[:-i], x[i:])[0,1]) for i in range(1, length)])
autocorr = autocorrelate(channel_out, correlationlength)
print("Done")
numpeaks = 6
print("The first {} highest peaks are at".format(numpeaks))
print(" index: amplitude")
for ind in autocorr.argsort()[-numpeaks:][::-1]:
print(" {:4}: {}".format(ind, autocorr[ind]))
fig = pp.figure()
ax = fig.add_subplot(111)
hi = ax.semilogy(autocorr)
pp.show()
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