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
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;
Conference_Titel :
Control, Communications and Signal Processing, 2004. First International Symposium on
Print_ISBN :
0-7803-8379-6
DOI :
10.1109/ISCCSP.2004.1296450
