Blind Equalization in Neural Networks

2The Fundamental Theory of Neural Network Blind Equalization Algorithm

Abstract: In this chapter, the concept, structure, algorithm form, and equalization criterion of the blind equalization are first introduced. And then, the fundamental principle and learning method of the neural network blind equalization are expounded. Then, in order to overcome the shortcomings of traditional BP algorithms, some improved methods are summarized. Finally, the evaluation indexes of the blind equalization algorithm are analyzed. Among these evaluation indexes, the convex of cost function and steady residual error are analyzed emphatically.

2.1The fundamental principle of blind equalization

2.1.1The concept of blind equalization

The blind equalization can just ...