def test_moving_average(self):
"""
Should return the moving average of data.
"""
a = [2, 2, 4, 4]
m0 = [ 2., 2., 3., 4.]
m1 = amplitudes.moving_average(a, 2)
for i in range(0, len(m0)):
self.assertEqual(m0[i], m1[i])
def _agc_instantaneous(data, window_size, desired_rms):
"""
Computes the instantaneous-amplitude AGC for data.
:param data: ``list`` of data values to compute rms for.
:param window_size: Length of window in number of samples.
:param desired_rms: Root-mean-squared value of
``data * _agc_instantaneous(data)``.
:return: ``numpy.nparray`` with ``len(data)`` AGC values
"""
return float(desired_rms) / moving_average(np.abs(data), window_size)
