Use GNU Radio emphasis filters, add filters generation scripts

This commit is contained in:
Geoffrey Merck 2020-05-31 09:17:45 +02:00
parent eef364b1a9
commit 98cd2404f5
3 changed files with 97 additions and 3 deletions

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@ -25,7 +25,7 @@
#endif
const float DEEMPHASIS_GAIN_DB = 0.0F;
const float PREEMPHASIS_GAIN_DB = 30.0F;
const float PREEMPHASIS_GAIN_DB = 0.0F;
const float FILTER_GAIN_DB = 0.0F;
const unsigned int FM_MASK = 0x00000FFFU;
@ -39,8 +39,8 @@ m_filterStage1(NULL),
m_filterStage2(NULL),
m_filterStage3(NULL)
{
m_preemphasis = new CIIRDirectForm1Filter(0.38897032f, -0.32900053f, 0.0f, 1.0f, 0.28202918f, 0.0f, PREEMPHASIS_GAIN_DB);
m_deemphasis = new CIIRDirectForm1Filter(1.0f,0.28202918f, 0.0f, 0.38897032f, -0.32900053f, 0.0f, DEEMPHASIS_GAIN_DB);
m_preemphasis = new CIIRDirectForm1Filter(8.315375384336983F,-7.03334621603483F,0.0F,1.0F,0.282029168302153F,0.0F, PREEMPHASIS_GAIN_DB);
m_deemphasis = new CIIRDirectForm1Filter(0.07708787090460224F,0.07708787090460224F,0.0F,1.0F,-0.8458242581907955F,0.0F, DEEMPHASIS_GAIN_DB);
//cheby type 1 0.2dB cheby type 1 3rd order 300-2700Hz fs=8000
m_filterStage1 = new CIIRDirectForm1Filter(0.29495028f, 0.0f, -0.29495028f, 1.0f, -0.61384624f, -0.057158668f, FILTER_GAIN_DB);

43
Tools/DeEmphasis.py Normal file
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@ -0,0 +1,43 @@
#based on https://github.com/gnuradio/gnuradio/blob/master/gr-analog/python/analog/fm_emph.py
import math
import cmath
import numpy as np
import scipy.signal as signal
import pylab as pl
tau = 750e-6
fs = 8000
fh = 2700
# Digital corner frequency
w_c = 1.0 / tau
# Prewarped analog corner frequency
w_ca = 2.0 * fs * math.tan(w_c / (2.0 * fs))
# Resulting digital pole, zero, and gain term from the bilinear
# transformation of H(s) = w_ca / (s + w_ca) to
# H(z) = b0 (1 - z1 z^-1)/(1 - p1 z^-1)
k = -w_ca / (2.0 * fs)
z1 = -1.0
p1 = (1.0 + k) / (1.0 - k)
b0 = -k / (1.0 - k)
btaps = [ b0 * 1.0, b0 * -z1, 0 ]
ataps = [ 1.0, -p1, 0 ]
# Since H(s = 0) = 1.0, then H(z = 1) = 1.0 and has 0 dB gain at DC
taps = np.concatenate((btaps, ataps), axis=0)
print("Taps")
print(*taps, "", sep=",", end="\n")
f,h = signal.freqz(btaps,ataps, fs=fs)
pl.plot(f, 20*np.log10(np.abs(h)))
pl.xlabel('frequency/Hz')
pl.ylabel('gain/dB')
pl.ylim(top=0,bottom=-30)
pl.xlim(left=0, right=fh*2.5)
pl.show()

51
Tools/PreEmphasis.py Normal file
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@ -0,0 +1,51 @@
#based on https://github.com/gnuradio/gnuradio/blob/master/gr-analog/python/analog/fm_emph.py
import math
import cmath
import numpy as np
import scipy.signal as signal
import pylab as pl
tau = 750e-6
fs = 8000
fh = 2700
# Digital corner frequencies
w_cl = 1.0 / tau
w_ch = 2.0 * math.pi * fh
# Prewarped analog corner frequencies
w_cla = 2.0 * fs * math.tan(w_cl / (2.0 * fs))
w_cha = 2.0 * fs * math.tan(w_ch / (2.0 * fs))
# Resulting digital pole, zero, and gain term from the bilinear
# transformation of H(s) = (s + w_cla) / (s + w_cha) to
# H(z) = b0 (1 - z1 z^-1)/(1 - p1 z^-1)
kl = -w_cla / (2.0 * fs)
kh = -w_cha / (2.0 * fs)
z1 = (1.0 + kl) / (1.0 - kl)
p1 = (1.0 + kh) / (1.0 - kh)
b0 = (1.0 - kl) / (1.0 - kh)
# Since H(s = infinity) = 1.0, then H(z = -1) = 1.0 and
# this filter has 0 dB gain at fs/2.0.
# That isn't what users are going to expect, so adjust with a
# gain, g, so that H(z = 1) = 1.0 for 0 dB gain at DC.
w_0dB = 2.0 * math.pi * 0.0
g = abs(1.0 - p1 * cmath.rect(1.0, -w_0dB)) \
/ (b0 * abs(1.0 - z1 * cmath.rect(1.0, -w_0dB)))
btaps = [ g * b0 * 1.0, g * b0 * -z1, 0]
ataps = [ 1.0, -p1, 0]
taps = np.concatenate((btaps, ataps), axis=0)
print("Taps")
print(*taps, "", sep=",", end="\n")
f,h = signal.freqz(btaps,ataps, fs=fs)
pl.plot(f, 20*np.log10(np.abs(h)))
pl.xlabel('frequency/Hz')
pl.ylabel('gain/dB')
pl.ylim(top=30,bottom=0)
pl.xlim(left=0, right=fh*2.5)
pl.show()