基于最大似然法的分数间隔信号重建

Proceedings of the IEEE Signal Processing Workshop on Higher-Order Statistics Pub Date : 1997-07-21 DOI:10.1109/HOST.1997.613514

B. Porat, B. Friedlander

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引用次数: 1

摘要

本文提出了一种基于最大似然的信号重构方案。该方案将Yellin和Friedlander先前的工作扩展到分数间隔数据的情况。分数间隔数据的使用消除了定时相位恢复的需要。推导了批处理算法和自适应算法，并用实例进行了说明。该算法可用于数字通信信道的均衡。

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Fractionally-spaced signal reconstruction based on maximum likelihood

This paper proposes a scheme for maximum-likelihood-based signal reconstruction. The scheme extends a previous work by Yellin and Friedlander to the case of fractionally-spaced data. The use of fractionally-spaced data obviates the need for timing-phase recovery. Batch and adaptive algorithms are derived and illustrated by examples. The algorithms are useful for equalization of digital communication channels.

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Proceedings of the IEEE Signal Processing Workshop on Higher-Order Statistics

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