Revert "Implementation of filter designer"
This reverts commit 1d488c983a
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1d488c983a
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@ -136,29 +136,57 @@ class SPLFilterDesigner:
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z, p, k = bilinear_zpk(zeros_analog, poles_analog, k_analog, fs)
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sos = zpk2sos(z, p, k)
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return sos
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# return z, p, k
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# return zeros_analog, poles_analog, k_analog
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def A_Sos_design(self, fs):
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"""
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Create filter coefficients of the A-weighting filter. Uses the bilinear
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transform to convert the analog filter to a digital one.
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def show_Afir():
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from asceefig.plot import Figure
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Args:
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fs: Sampling frequency [Hz]
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fs = 48000.
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freq_design = np.linspace(0, 17e3, 3000)
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freq_design[-1] = fs/2
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amp_design = A(freq_design)
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amp_design[-1] = 0.
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firs = []
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Returns:
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Sos: Second order sections
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"""
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# Poles of A-filter
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p1 = 2*np.pi*self.f1
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p2 = 2*np.pi*self.f2
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p3 = 2*np.pi*self.f3
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p4 = 2*np.pi*self.f4
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# firs.append(arbitrary_fir_design(fs,L,freq_design,amp_design,window='hamming'))
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# firs.append(arbitrary_fir_design(fs,L,freq_design,amp_design,window='hann'))
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firs.append(A_fir_design())
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# from scipy.signal import iirdesign
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# b,a = iirdesign()
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freq_check = np.logspace(0, np.log10(fs/2), 5000)
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f = Figure()
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zeros_analog = [0,0,0,0]
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poles_analog = [p1, p1, p2, p3, p4, p4]
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k_analog = p4**2/self._A_uncor(self.fr)
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f.semilogx(freq_check, 20*np.log10(A(freq_check)))
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for fir in firs:
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H = freqResponse(fs, freq_check, fir)
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f.plot(freq_check, 20*np.log10(np.abs(H)))
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z, p, k = bilinear_zpk(zeros_analog, poles_analog, k_analog, fs)
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sos = zpk2sos(z, p, k)
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return sos
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f.fig.get_axes()[0].set_ylim(-75, 3)
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def show_Cfir():
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from asceefig.plot import Figure
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fs = 48000.
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freq_design = np.linspace(0, 17e3, 3000)
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freq_design[-1] = fs/2
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amp_design = C(freq_design)
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amp_design[-1] = 0.
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firs = []
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# firs.append(arbitrary_fir_design(fs,L,freq_design,amp_design,window='hamming'))
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# firs.append(arbitrary_fir_design(fs,L,freq_design,amp_design,window='hann'))
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firs.append(C_fir_design())
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# from scipy.signal import iirdesign
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# b,a = iirdesign()
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freq_check = np.logspace(0, np.log10(fs/2), 5000)
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f = Figure()
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f.semilogx(freq_check, 20*np.log10(C(freq_check)))
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for fir in firs:
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H = freqResponse(fs, freq_check, fir)
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f.plot(freq_check, 20*np.log10(np.abs(H)))
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f.fig.get_axes()[0].set_ylim(-30, 1)
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