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

Inhaltsangabe

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.

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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.

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