This paper gives an account of how power-law noise power spectral density can be deconverted to white noise power spectral density. The analysis is carried out both in the frequency domain using transfer function models as well as in the time domain using state-space models whereby a linear time-invariant model being used to generate approximate power-law noise from white noise after which this model is inverted directly and indirectly. Both direct (open-loop) model inversion and indirect (closed-loop) model inversion are simulated and discussed. It is through these simulations that the indirect model inversion performance is shown to increases with increasing feedback control gain

Keywords : State-Space Model, Power-Law Noise, Model Inversion, Barnes-Jarvis Model, Feedback Control.