This function is a "decorator" for the Matlab in-build randn
function. It takes an additional first argument (beta) which shapes the spectral characteristic of the data (in all dimensions) as f^beta. The output data is scaled to the original mean and standard deviation. It creates N-dimensional 1/beta (e.g. pink, brown, blue) noise generation via spectral shaping of white noise.
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N-dimensional 1/beta (e.g. pink, brown, blue) noise generation via spectral shaping of white noise
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