An introduction to factor graphs

被引：607

作者：

Loeliger, HA ^{[1
]}

机构：

[1] ETH, Zurich, Switzerland

[2] Endora Tech AG, Basel, Switzerland

来源：

IEEE SIGNAL PROCESSING MAGAZINE | 2004年 / 21卷 / 01期

关键词：

D O I：

10.1109/MSP.2004.1267047

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Graphical models such as factor graphs allow a unified approach to a number of key topics in coding and signal processing: the iterative decoding of turbo codes, LDPC codes, and similar codes; joint decoding and equalization; joint decoding and parameter estimation; hidden-Markov models; Kalman filtering and recursive least squares, and more. Graphical models can represent complex real-world systems, and such representations help to derive practical detection/estimation algorithms in a wide area of applications. Most good known signal processing techniques can be used as components of such algorithms.

引用

页码：28 / 41

页数：14

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