def test_spread(self, params):
fps, frq = params
sig = sinusoid(frq, fps=fps)
dft = Dft(fps=fps, window=None)
sxx = dft.transform(sig)
sps = features.spectral_spread(sxx.frqs, sxx.power)
self.assertLess(sps.item(), 1.0)
def test_centroid(self, params):
fps, frq = params
sig = sinusoid(frq, fps=fps)
dft = Dft(fps=fps, window=None)
sxx = dft.transform(sig)
spc = features.spectral_centroid(sxx.frqs, sxx.power)
self.assertAlmostEqual(spc.item(), frq)
def setUp(self):
self.fps = 9000
self.n_perseg = 512
self.n_overlap = 256
self.amps = np.array([1., .5, .25, .1, .05])
self.frqs = np.array([440, 550, 660, 880, 1760])
self.signal = sinusoid(self.frqs, self.amps, fps=self.fps)
self.stft = StftSegments(self.fps)
def setUp(self):
self.fps = 9000
self.frqs = np.array([440, 550, 660, 880, 1760])
self.amps = np.array([1., .5, .25, .1, .05])
self.signal = sinusoid(self.frqs, self.amps, fps=self.fps, comps=True)