Lines Matching full:numpy
8 import numpy
35 @returns: A numpy array containing normalized signal. The normalized signal
39 signal = numpy.array(signal)
74 signal_rms = numpy.linalg.norm(signal) / numpy.sqrt(len(signal))
87 y_conv_w = signal * numpy.hanning(len(signal))
93 y_f = 2.0 / length * numpy.fft.rfft(y_conv_w)
96 abs_y_f = numpy.abs(y_f)
124 @returns: A numpy array containing frequency corresponding to
125 numpy.fft.rfft result at each index.
132 return numpy.linspace(0, (result_length - 1) * val, result_length)
300 golden_x = numpy.linspace(
303 golden_y = numpy.sin(freq * 2.0 * numpy.pi * golden_x)
380 norm_golden = numpy.linalg.norm(golden_signal)
381 norm_test = numpy.linalg.norm(test_signal)
391 correlation = numpy.correlate(golden_signal, test_signal, 'valid')[0]
