def compute_by_noise_pow(self, signal, n_pow):
s_spec = np.fft.fftpack.fft(signal * self._window)
s_amp = np.absolute(s_spec)
s_phase = np.angle(s_spec)
gamma = self._calc_aposteriori_snr(s_amp, n_pow)
# xi = self._calc_apriori_snr2(gamma,n_pow)
xi = self._calc_apriori_snr(gamma)
self._prevGamma = gamma
u = 0.5 - self._mu / (4.0 * np.sqrt(gamma * xi))
self._G = u + np.sqrt(u ** 2.0 + self._tau / (gamma * 2.0))
idx = np.less(s_amp ** 2.0, n_pow)
self._G[idx] = self._constant
idx = np.isnan(self._G) + np.isinf(self._G)
self._G[idx] = xi[idx] / (xi[idx] + 1.0)
idx = np.isnan(self._G) + np.isinf(self._G)
self._G[idx] = self._constant
self._G = np.maximum(self._G, 0.0)
amp = self._G * s_amp
amp = np.maximum(amp, 0.0)
amp2 = self._ratio * amp + (1.0 - self._ratio) * s_amp
self._prevAmp = amp
spec = amp2 * np.exp(s_phase * 1j)
return np.real(np.fft.fftpack.ifft(spec))
评论列表
文章目录