December 2017
Intermediate to advanced
268 pages
7h 59m
English
book
Blind Equalization in Neural Networks
by Liyi Zhang, Tsinghua University Tsinghua University Press
Content preview from Blind Equalization in Neural Networks
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1Introduction
Abstract: In this chapter, the research significance and the application field of blind equalization (BE) are analyzed. The classification and research status of the neural network BE algorithm are summarized. The research background and the main work of this book are pointed out.
1.1The research significance of the BE technology
The concept of BE (called as the self-recovering equalization at that time) was proposed by the Japanese scholar professor Y. Sato [1] first in 1975. It has gradually become a key technology of digital communication, and also a frontier and hot research topic of communication and signals processing, because it can overcome the inter-symbol interference (ISI) effectively, reduce the bit error rate (BER), ...
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