Author: IEEE, Information Theory Society Staff
Publisher:
ISBN:
Category :
Languages : en
Pages :
Book Description
Information Theory: 2000 IEEE International Symposium On
Author: IEEE, Information Theory Society Staff
Publisher:
ISBN:
Category :
Languages : en
Pages :
Book Description
Publisher:
ISBN:
Category :
Languages : en
Pages :
Book Description
2000 IEEE International Symposium on Information Theory
Author: IEEE Information Theory Society
Publisher: IEEE Standards Office
ISBN:
Category : Computers
Languages : en
Pages : 548
Book Description
Publisher: IEEE Standards Office
ISBN:
Category : Computers
Languages : en
Pages : 548
Book Description
2002 IEEE International Symposium on Information Theory
Proceedings of the 2000 IEEE International Symposium on Information Theory, Sorrento Palace Hotel Conference Center, Sorrento, Italy, 25-30 June, 2000
Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 539
Book Description
This is the program for the IEEE International Symposium on Information Theory that took place in Sorrento in June 2000.
Publisher:
ISBN:
Category :
Languages : en
Pages : 539
Book Description
This is the program for the IEEE International Symposium on Information Theory that took place in Sorrento in June 2000.
2001 IEEE International Symposium on Information Theory
Proceedings, ... IEEE International Symposium on Information Theory
Information Theory, Inference and Learning Algorithms
Author: David J. C. MacKay
Publisher: Cambridge University Press
ISBN: 9780521642989
Category : Computers
Languages : en
Pages : 694
Book Description
Information theory and inference, taught together in this exciting textbook, lie at the heart of many important areas of modern technology - communication, signal processing, data mining, machine learning, pattern recognition, computational neuroscience, bioinformatics and cryptography. The book introduces theory in tandem with applications. Information theory is taught alongside practical communication systems such as arithmetic coding for data compression and sparse-graph codes for error-correction. Inference techniques, including message-passing algorithms, Monte Carlo methods and variational approximations, are developed alongside applications to clustering, convolutional codes, independent component analysis, and neural networks. Uniquely, the book covers state-of-the-art error-correcting codes, including low-density-parity-check codes, turbo codes, and digital fountain codes - the twenty-first-century standards for satellite communications, disk drives, and data broadcast. Richly illustrated, filled with worked examples and over 400 exercises, some with detailed solutions, the book is ideal for self-learning, and for undergraduate or graduate courses. It also provides an unparalleled entry point for professionals in areas as diverse as computational biology, financial engineering and machine learning.
Publisher: Cambridge University Press
ISBN: 9780521642989
Category : Computers
Languages : en
Pages : 694
Book Description
Information theory and inference, taught together in this exciting textbook, lie at the heart of many important areas of modern technology - communication, signal processing, data mining, machine learning, pattern recognition, computational neuroscience, bioinformatics and cryptography. The book introduces theory in tandem with applications. Information theory is taught alongside practical communication systems such as arithmetic coding for data compression and sparse-graph codes for error-correction. Inference techniques, including message-passing algorithms, Monte Carlo methods and variational approximations, are developed alongside applications to clustering, convolutional codes, independent component analysis, and neural networks. Uniquely, the book covers state-of-the-art error-correcting codes, including low-density-parity-check codes, turbo codes, and digital fountain codes - the twenty-first-century standards for satellite communications, disk drives, and data broadcast. Richly illustrated, filled with worked examples and over 400 exercises, some with detailed solutions, the book is ideal for self-learning, and for undergraduate or graduate courses. It also provides an unparalleled entry point for professionals in areas as diverse as computational biology, financial engineering and machine learning.
Algebraic Coding Theory and Information Theory
Author: Alexei Ashikhmin
Publisher: American Mathematical Soc.
ISBN: 0821836269
Category : Computers
Languages : en
Pages : 192
Book Description
In these papers associated with the workshop of December 2003, contributors describe their work in fountain codes for lossless data compression, an application of coding theory to universal lossless source coding performance bounds, expander graphs and codes, multilevel expander codes, low parity check lattices, sparse factor graph representations of Reed-Solomon and related codes. Interpolation multiplicity assignment algorithms for algebraic soft- decision decoding of Reed-Solomon codes, the capacity of two- dimensional weight-constrained memories, networks of two-way channels, and a new approach to the design of digital communication systems. Annotation :2005 Book News, Inc., Portland, OR (booknews.com).
Publisher: American Mathematical Soc.
ISBN: 0821836269
Category : Computers
Languages : en
Pages : 192
Book Description
In these papers associated with the workshop of December 2003, contributors describe their work in fountain codes for lossless data compression, an application of coding theory to universal lossless source coding performance bounds, expander graphs and codes, multilevel expander codes, low parity check lattices, sparse factor graph representations of Reed-Solomon and related codes. Interpolation multiplicity assignment algorithms for algebraic soft- decision decoding of Reed-Solomon codes, the capacity of two- dimensional weight-constrained memories, networks of two-way channels, and a new approach to the design of digital communication systems. Annotation :2005 Book News, Inc., Portland, OR (booknews.com).