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equalizer: shorten prefix and training sequence to 500ms

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Roman Zeyde
2015-04-23 11:17:12 +03:00
parent f476055cf2
commit ccfe5c00cf
1 changed files with 3 additions and 3 deletions
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6
amodem/equalizer.py
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@@ -43,9 +43,9 @@ class Equalizer(object):
return np.array(list(itertools.islice(symbols, size)))
prefix = [1]*400 + [0]*50
equalizer_length = 500
silence_length = 100
prefix = [1]*200 + [0]*50
equalizer_length = 200
silence_length = 50
def train(signal, expected, order, lookahead=0):