【文件名】:06825@52RD_smc_thesis.part1.rar
【格 式】:rar
【大 小】:900K
【简 介】:At a fundamental level Signal Processing may be described as extracting the useful or interesting information from a signal or set of signals that we observe. For example if we are sending data from one place to another, we are only really interested in recovering the data that was sent from one end to the other. One could argue that everything else is supplementary and ultimately of no interest.
【目 录】:
1 Introduction
2 Time Series Models andCommunications Systems
3 Methods for Blind Deconvolution
4 Bayesian Methods
5 MCMC Methods for Blind Equalisation
6 Particle Filters
7 Particle Filters for Blind Equalisation
8 Bridging Densities in Particle Filters
9 Conclusions and FurtherWork
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发表于 2006-8-25 16:40:00
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