Abstract
In this chapter we explain the advantages and disadvantages of the Bayesian and Cost function approach. In doing so we also explain what is the meaning of higher order statistics (HOS) which is widely used in blind equalization, the reason why using HOS (order ≥ 3) in blind equalization and why HOS can not be applied for Gaussian input signals.
Keywords: Bayesian approach, Cost function approach, higher order statistics (HOS), mo- ments, cumulants, blind deconvolution, inverse lter, Maximum Entropy density approximation technique, Edgeworth expansion, nonlinearity function
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