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Polynomial Theory of Error Correcting Codes (Paperback, Softcover reprint of the original 1st ed. 2015) Loot Price: R4,362
Discovery Miles 43 620
Polynomial Theory of Error Correcting Codes (Paperback, Softcover reprint of the original 1st ed. 2015): Giovanni Cancellieri

Polynomial Theory of Error Correcting Codes (Paperback, Softcover reprint of the original 1st ed. 2015)

Giovanni Cancellieri

Series: Signals and Communication Technology

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Loot Price R4,362 Discovery Miles 43 620 | Repayment Terms: R409 pm x 12*

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The book offers an original view on channel coding, based on a unitary approach to block and convolutional codes for error correction. It presents both new concepts and new families of codes. For example, lengthened and modified lengthened cyclic codes are introduced as a bridge towards time-invariant convolutional codes and their extension to time-varying versions. The novel families of codes include turbo codes and low-density parity check (LDPC) codes, the features of which are justified from the structural properties of the component codes. Design procedures for regular LDPC codes are proposed, supported by the presented theory. Quasi-cyclic LDPC codes, in block or convolutional form, represent one of the most original contributions of the book. The use of more than 100 examples allows the reader gradually to gain an understanding of the theory, and the provision of a list of more than 150 definitions, indexed at the end of the book, permits rapid location of sought information.

General

Imprint: Springer International Publishing AG
Country of origin: Switzerland
Series: Signals and Communication Technology
Release date: September 2016
First published: 2015
Authors: Giovanni Cancellieri
Dimensions: 235 x 155 x 38mm (L x W x T)
Format: Paperback
Pages: 732
Edition: Softcover reprint of the original 1st ed. 2015
ISBN-13: 978-3-319-37870-1
Categories: Books > Computing & IT > General
Books > Professional & Technical > Other technologies > General
Books > Science & Mathematics > Mathematics > Algebra > General
LSN: 3-319-37870-8
Barcode: 9783319378701

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