DocumentCode
2957922
Title
Signal processing with factor graphs: examples
Author
Loeliger, Hans-Andrea ; Dauwels, Justin ; Koch, Volker M. ; Korl, Sascha
Author_Institution
Dept. of Information Technol. & Electr. Eng., ETH, Zurich, Switzerland
fYear
2004
fDate
2004
Firstpage
571
Lastpage
574
Abstract
Graphical models such as factor graphs allow to model complex systems and help to derive practical detection/estimation algorithms as message passing in the graph. In this paper, we outline three examples of on-going work of this type. For an introduction to factor graphs, we refer to F. R. Kschischang (Feb. 2001) and H. A. Loeliger (Jan. 2004). We use the notation of H. A. Loeliger (Jan. 2004).
Keywords
electromyography; graph theory; medical signal processing; message passing; parameter estimation; complex systems; detection algorithms; electromyography; estimation algorithms; factor graphs; graphical models; message passing; signal processing; Electrodes; Electromyography; Finite impulse response filter; Graphical models; Information filtering; Information filters; Information technology; Message passing; Muscles; Signal processing;
fLanguage
English
Publisher
ieee
Conference_Titel
Control, Communications and Signal Processing, 2004. First International Symposium on
Print_ISBN
0-7803-8379-6
Type
conf
DOI
10.1109/ISCCSP.2004.1296450
Filename
1296450
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