Factor Graph: Probability theory, Graphical model, Bayesian inference, Marginal distribution, Sum-product algorithm, Error-correcting code, LDPC, Turbo codes - Softcover

 
9786133737242: Factor Graph: Probability theory, Graphical model, Bayesian inference, Marginal distribution, Sum-product algorithm, Error-correcting code, LDPC, Turbo codes
Softcover
ISBN 10: 6133737247 ISBN 13: 9786133737242
Publisher: OmniScriptum, 2010

Synopsis

Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. In probability theory and its applications, a factor graph is a particular type of graphical model with applications in Bayesian inference, where factor graphs enable efficient computation of marginal distributions, through the sum-product algorithm. One of the important success stories of factor graphs and the sum-product algorithm is the decoding of capacity-approaching error-correcting codes, such as LDPC and turbo codes.

"synopsis" may belong to another edition of this title.

Reseña del editor

Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. In probability theory and its applications, a factor graph is a particular type of graphical model with applications in Bayesian inference, where factor graphs enable efficient computation of marginal distributions, through the sum-product algorithm. One of the important success stories of factor graphs and the sum-product algorithm is the decoding of capacity-approaching error-correcting codes, such as LDPC and turbo codes.

"About this title" may belong to another edition of this title.

Publisher
OmniScriptum
Publication date
2010
Language
English
ISBN 10 
6133737247
ISBN 13 
9786133737242
Binding
Tapa blanda
Number of pages
72
Editor
Miller Frederic P., Vandome Agnes F., McBrewster John