This paper focuses on Maximum Likelihood Sequence Estimate (MLSE), based on the widely study of basic principle, structure and algorithms of adaptiveequalization.
在研究自适应均衡的原理、结构和算法的基础上,本文深入研究了最大似然序列估计(MLSE)。
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As a kind of new optimized algorithm, neural network can substitute for landscape orientation filter in adaptiveequalization, and it has been widely used in digital communication system.
Based on the analysis of wavelet packets and traditional adaptiveequalization, an adaptive equalizer structure and its adaptive algorithm, based on wavelet packets transform, are presented.