def PowerLawNoise_1d(N, dx, a, b):
    '\n\tPSD(x) = a*x^b\n\t'
    x = np.arange(0, ((N // 2) + 1), dx)
    yHalf = (a * (x ** b))
    return Psd2NoisePattern_1d(y, Semiaxis=True)
PSD(x) = a*x^b
def PowerLawNoise_1d(N, dx, a, b):
    '\n\t\n\t'
    x = np.arange(0, ((N // 2) + 1), dx)
    yHalf = (a * (x ** b))
    return Psd2NoisePattern_1d(y, Semiaxis=True)