Book Description
A valuable teaching aid. Provides relevant background material, many examples and clear solutions to problems taken from real exam papers.
Author : Mark Kelbert
Publisher : Cambridge University Press
Page : 527 pages
File Size : 10,53 MB
Release : 2013-09-12
Category : Computers
ISBN : 0521769353
A valuable teaching aid. Provides relevant background material, many examples and clear solutions to problems taken from real exam papers.
Author : Monica Borda
Publisher : Springer Science & Business Media
Page : 504 pages
File Size : 37,42 MB
Release : 2011-05-27
Category : Technology & Engineering
ISBN : 3642203477
The work introduces the fundamentals concerning the measure of discrete information, the modeling of discrete sources without and with a memory, as well as of channels and coding. The understanding of the theoretical matter is supported by many examples. One particular emphasis is put on the explanation of Genomic Coding. Many examples throughout the book are chosen from this particular area and several parts of the book are devoted to this exciting implication of coding.
Author : Wells
Publisher : Pearson Education India
Page : 324 pages
File Size : 31,54 MB
Release :
Category :
ISBN : 9788131724163
Author : Gareth A. Jones
Publisher : Springer Science & Business Media
Page : 217 pages
File Size : 24,32 MB
Release : 2012-12-06
Category : Technology & Engineering
ISBN : 1447103610
This text is an elementary introduction to information and coding theory. The first part focuses on information theory, covering uniquely decodable and instantaneous codes, Huffman coding, entropy, information channels, and Shannon’s Fundamental Theorem. In the second part, linear algebra is used to construct examples of such codes, such as the Hamming, Hadamard, Golay and Reed-Muller codes. Contains proofs, worked examples, and exercises.
Author : Richard Wesley Hamming
Publisher : Prentice Hall
Page : 280 pages
File Size : 18,15 MB
Release : 1986
Category : Computers
ISBN :
Focusing on both theory and practical applications, this volume combines in a natural way the two major aspects of information representation--representation for storage (coding theory) and representation for transmission (information theory).
Author : David J. C. MacKay
Publisher : Cambridge University Press
Page : 694 pages
File Size : 11,32 MB
Release : 2003-09-25
Category : Computers
ISBN : 9780521642989
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.
Author : Arijit Saha
Publisher : Pearson Education India
Page : 280 pages
File Size : 43,49 MB
Release : 2013
Category :
ISBN : 9332517843
Information Theory, Coding & Cryptography has been designed as a comprehensive book for the students of engineering discussing Source Encoding, Error Control Codes & Cryptography. The book contains the recent developments of coded modulation, trellises for codes, turbo coding for reliable data and interleaving. The text balances the mathematical rigor with exhaustive amount of solved, unsolved questions along with a database of MCQs.
Author : Roberto Togneri
Publisher : CRC Press
Page : 385 pages
File Size : 12,92 MB
Release : 2003-01-13
Category : Computers
ISBN : 0203998103
Books on information theory and coding have proliferated over the last few years, but few succeed in covering the fundamentals without losing students in mathematical abstraction. Even fewer build the essential theoretical framework when presenting algorithms and implementation details of modern coding systems. Without abandoning the theoret
Author : Stefan M. Moser
Publisher : Cambridge University Press
Page : 207 pages
File Size : 28,92 MB
Release : 2012-01-26
Category : Computers
ISBN : 1107015839
This is a concise, easy-to-read guide, introducing beginners to coding theory and information theory.
Author : Steven Roman
Publisher : Springer Science & Business Media
Page : 520 pages
File Size : 37,64 MB
Release : 1992-06-04
Category : Mathematics
ISBN : 9780387978123
This book is an introduction to information and coding theory at the graduate or advanced undergraduate level. It assumes a basic knowledge of probability and modern algebra, but is otherwise self- contained. The intent is to describe as clearly as possible the fundamental issues involved in these subjects, rather than covering all aspects in an encyclopedic fashion. The first quarter of the book is devoted to information theory, including a proof of Shannon's famous Noisy Coding Theorem. The remainder of the book is devoted to coding theory and is independent of the information theory portion of the book. After a brief discussion of general families of codes, the author discusses linear codes (including the Hamming, Golary, the Reed-Muller codes), finite fields, and cyclic codes (including the BCH, Reed-Solomon, Justesen, Goppa, and Quadratic Residue codes). An appendix reviews relevant topics from modern algebra.