40 lines
1.2 KiB
Python
40 lines
1.2 KiB
Python
import numpy as np
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import scipy.signal as sig
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from .util import *
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bq_run = lambda bq, xs: sig.lfilter(*bq, x=xs, axis=0)
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nf = lambda t, f, g, bw, mg: (f, t(toA(g), toQ(bw)), mg)
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LP1 = lambda A, Q: ((0,1),(1,1))
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HP1 = lambda A, Q: ((1,0),(1,1))
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LS1 = lambda A, Q: ((1,A),(1,1/A))
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HS1 = lambda A, Q: ((A,1),(1/A,1))
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# patterns observed, in case some simplification could be done:
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# a always gets divided by A instead of multiplied
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# b1 and a1 always /= Q
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LP2 = lambda A, Q: ((0, 0, 1),
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(1, 1/Q, 1))
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HP2 = lambda A, Q: ((1, 0, 0),
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(1, 1/Q, 1))
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PE2 = lambda A, Q: ((1, A/Q, 1),
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(1, 1/A/Q, 1))
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AP2 = lambda A, Q: ((1, 1/Q, 1),
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(1, 1/Q, 1))
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BP2a= lambda A, Q: ((0, -A/Q, 0),
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(1, 1/A/Q, 1))
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BP2b= lambda A, Q: ((0,-A*A/Q, 0),
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(1, 1/Q, 1))
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NO2 = lambda A, Q: ((1, 0, 1),
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(1, 1/Q, 1))
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LS2 = lambda A, Q: ((1, np.sqrt(A)/Q, A),
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(1, 1/np.sqrt(A)/Q, 1/A))
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HS2 = lambda A, Q: ((A, np.sqrt(A)/Q, 1),
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(1/A, 1/np.sqrt(A)/Q, 1))
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gen_filters = lambda cascade, srate: [
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s2z(*f[1], fc=f[0], srate=srate, gain=10**(f[2]/20)) for f in cascade
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]
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