def PsdFun2Noise_1d(N, dx, PsdFun, PsdArgs):
    '\n\t\tGenerates a noise pattern based an the Power spectral density returned\n\t\tby PsdFun\n\t'
    x = np.arange(0, ((N // 2) + 1), dx)
    yHalf = PsdFun(x, *PsdArgs)
    y = Psd2NoisePattern_1d(yHalf, Semiaxis=True)
    return (x, y)
Generates a noise pattern based an the Power spectral density returned
by PsdFun
def PsdFun2Noise_1d(N, dx, PsdFun, PsdArgs):
    '\n\t\tGenerates a noise pattern based an the Power spectral density returned\n\t\tby PsdFun\n\t'
    x = np.arange(0, ((N // 2) + 1), dx)
    yHalf = PsdFun(x, *PsdArgs)
    y = Psd2NoisePattern_1d(yHalf, Semiaxis=True)
    return (x, y)