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
Related Books
Image Processing for Embedded Devices
Bipolar Transistor and MOSFET Device Models
Design of Analog Circuits through Symbolic Analysis
Electromagnetic Interference Issues in Power Electronics and Power Systems
Electromagnetics for Engineering Students Part I
Electromagnetics for Engineering Students (Part II)
Fiber Bragg Grating Sensors: Recent Advancements, Industrial Applications and Market Exploitation
Frontiers in Electrical Engineering
Modern Intelligent Instruments - Theory and Application
Photonic Bandgap Structures Novel Technological Platforms for Physical, Chemical and Biological Sensing