96b02c11646df43b5d633a1edf01f3360178b1c3,pyroomacoustics/doa/tests/test_doa.py,,,#,12

Before Change

// convolve the source signal with the fractional delay filters
// to get the microphone input signals
mic_signals = [ fftconvolve(x, filter, mode="same") for filter in filter_bank ]
X = np.array([ pra.stft(signal, nfft, nfft // 2, win=np.hanning(nfft), 
    transform=np.fft.rfft).T for signal in mic_signals ])

class TestDOA(TestCase):

    def test_music(self):

After Change

// convolve the source signal with the fractional delay filters
// to get the microphone input signals
mic_signals = np.array([ fftconvolve(x, filter, mode="same") for filter in filter_bank ])
X = pra.transform.analysis(mic_signals.T, nfft, nfft // 2, win=np.hanning(nfft))
X = np.swapaxes(X, 2, 0)

class TestDOA(TestCase):

    def test_music(self):

Instances