def testDisplay(self):
n = 257
centerFrequencies = np.array([125, 500, 1000, 2000, 4000],
dtype=np.float)
samplingRate = 16000
filterbank = FilterBank(n, centerFrequencies, samplingRate)
fig = filterbank.display(merged=False)
plt.show(block=False)
time.sleep(1.0)
plt.close(fig)
fig = filterbank.display(merged=True)
plt.show(block=False)
time.sleep(1.0)
plt.close(fig)
n = 257
scales = np.array([1.0, 0.5, 0.25, 0.5, 0.05])
centerFrequencies = np.array([125, 500, 1000, 2000, 4000],
dtype=np.float)
samplingRate = 16000
filterbank = FilterBank(n, centerFrequencies, samplingRate)
fig = filterbank.display(scales, merged=False)
plt.show(block=False)
time.sleep(1.0)
plt.close(fig)
fig = filterbank.display(scales, merged=True)
plt.show(block=False)
time.sleep(1.0)
plt.close(fig)
impulse = filterbank.getScaledImpulseResponse(scales)
fig = plt.figure()
plt.plot(impulse)
plt.show(block=False)
time.sleep(1.0)
plt.close(fig)
def testInit(self):
n = 256
centerFrequencies = np.array([125, 500, 1000, 2000, 4000],
dtype=np.float)
samplingRate = 16000
filterbank = FilterBank(n, centerFrequencies, samplingRate)
impulse = filterbank.getScaledImpulseResponse()
self.assertTrue(impulse.ndim == 1)
self.assertTrue(impulse.shape[0] == n + 1)
n = 511
centerFrequencies = np.array([125, 500, 1000, 2000, 4000],
dtype=np.float)
samplingRate = 16000
filterbank = FilterBank(n, centerFrequencies, samplingRate)
impulse = filterbank.getScaledImpulseResponse()
self.assertTrue(impulse.ndim == 1)
self.assertTrue(impulse.shape[0] == n)