def Generate(self, N=None, dx=None, CutoffLowHigh=[None, None]):
    '\n\t\t\tParameters\n\t\t\t\tN: # of output samples\n\t\t\t\tdx: step of the x axis\n\t\t\tNote: generates an evenly spaced array\n\t\t\t'
    L = (dx * N)
    df = (1 / L)
    (fPsd, yPsd) = self.PsdEval(((N // 2) + 1), df=df, CutoffLowHigh=CutoffLowHigh)
    h = Psd2Noise_1d(yPsd, Semiaxis=True)
    return h
Parameters
        N: # of output samples
        dx: step of the x axis
Note: generates an evenly spaced array
def Generate(self, N=None, dx=None, CutoffLowHigh=[None, None]):
    '\n\t\t\tParameters\n\t\t\t\tN: # of output samples\n\t\t\t\tdx: step of the x axis\n\t\t\tNote: generates an evenly spaced array\n\t\t\t'
    L = (dx * N)
    df = (1 / L)
    (fPsd, yPsd) = self.PsdEval(((N // 2) + 1), df=df, CutoffLowHigh=CutoffLowHigh)
    h = Psd2Noise_1d(yPsd, Semiaxis=True)
    return h