Merged master

This commit is contained in:
Anne de Jong 2020-01-20 12:11:50 +01:00
commit 1258ff4919
3 changed files with 64 additions and 21 deletions

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@ -21,6 +21,13 @@ typedef struct Sosfilterbank {
dmat state;
} Sosfilterbank;
us Sosfilterbank_getFilterbankSize(const Sosfilterbank* fb) {
fsTRACE(15);
assertvalidptr(fb);
return fb->filterbank_size;
feTRACE(15);
}
Sosfilterbank* Sosfilterbank_create(const us filterbank_size,
const us nsections) {

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@ -23,6 +23,14 @@ typedef struct Sosfilterbank Sosfilterbank;
Sosfilterbank* Sosfilterbank_create(const us filterbank_size,
const us nsections);
/**
* Returns the number of channels in the filterbank (the filberbank size).
*
* @param[in] fb: Filterbank handle
* @return The number of filters in the bank
* */
us Sosfilterbank_getFilterbankSize(const Sosfilterbank* fb);
/**
* Initialize the filter coeficients in the filterbank
*
@ -30,7 +38,7 @@ Sosfilterbank* Sosfilterbank_create(const us filterbank_size,
* @param filter_no: Filter number in the bank
* @param coefss: Array of filter coefficients. Should have a length of
* nsections x 6, for each of the sections, it contains (b0, b1, b2, a0,
* a1, a2), where a are the numerator coefficients and b are the denominator
* a1, a2), where b are the numerator coefficients and a are the denominator
* coefficients.
*
*/

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