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Polar codes = a non-trivial approach...

Gazi, Orhan.

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Polar codes = a non-trivial approach to channel coding /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Polar codes/ by Orhan Gazi.
Reminder of title:	a non-trivial approach to channel coding /
Author:	Gazi, Orhan.
Published:	Singapore :Springer Singapore : : 2019.,
Description:	vi, 170 p. :ill., digital ;24 cm.
[NT 15003449]:	Information Theory Perspective of Polar Codes and Polar Encoding -- Decoding of Polar Codes -- Channel Polarization of Binary Erasure Channels -- Mathematical Modelling of Polar Codes, Channel Combining and Splitting -- Polarization Rate and Performance of Polar Codes.
Contained By:	Springer eBooks
Subject:	Coding theory. -
Online resource:	http://dx.doi.org/10.1007/978-981-13-0737-9
ISBN:	9789811307379

Polar codes = a non-trivial approach to channel coding /
Gazi, Orhan.

Polar codesa non-trivial approach to channel coding /[electronic resource] :by Orhan Gazi. - Singapore :Springer Singapore :2019. - vi, 170 p. :ill., digital ;24 cm. - Springer topics in signal processing,v.151866-2609 ;. - Springer topics in signal processing ;v.15..

Information Theory Perspective of Polar Codes and Polar Encoding -- Decoding of Polar Codes -- Channel Polarization of Binary Erasure Channels -- Mathematical Modelling of Polar Codes, Channel Combining and Splitting -- Polarization Rate and Performance of Polar Codes.

This book explains the philosophy of the polar encoding and decoding technique. Polar codes are one of the most recently discovered capacity-achieving channel codes. What sets them apart from other channel codes is the fact that polar codes are designed mathematically and their performance is mathematically proven. The book develops related fundamental concepts from information theory, such as entropy, mutual information, and channel capacity. It then explains the successive cancellation decoding logic and provides the necessary formulas, moving on to demonstrate the successive cancellation decoding operation with a tree structure. It also demonstrates the calculation of split channel capacities when polar codes are employed for binary erasure channels, and explains the mathematical formulation of successive cancellation decoding for polar codes. In closing, the book presents and proves the channel polarization theorem, before mathematically analyzing the performance of polar codes.

ISBN: 9789811307379

Standard No.: 10.1007/978-981-13-0737-9doiSubjects--Topical Terms:

532585
Coding theory.

LC Class. No.: TK5102.92 / .G395 2019

Dewey Class. No.: 003.54

Polar codes = a non-trivial approach to channel coding /
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100 1 $a Gazi, Orhan. $3 3295084
245 1 0 $a Polar codes $h [electronic resource] : $b a non-trivial approach to channel coding / $c by Orhan Gazi.
260 $a Singapore : $b Springer Singapore : $b Imprint: Springer, $c 2019.
300 $a vi, 170 p. : $b ill., digital ; $c 24 cm.
490 1 $a Springer topics in signal processing, $x 1866-2609 ; $v v.15
505 0 $a Information Theory Perspective of Polar Codes and Polar Encoding -- Decoding of Polar Codes -- Channel Polarization of Binary Erasure Channels -- Mathematical Modelling of Polar Codes, Channel Combining and Splitting -- Polarization Rate and Performance of Polar Codes.
520 $a This book explains the philosophy of the polar encoding and decoding technique. Polar codes are one of the most recently discovered capacity-achieving channel codes. What sets them apart from other channel codes is the fact that polar codes are designed mathematically and their performance is mathematically proven. The book develops related fundamental concepts from information theory, such as entropy, mutual information, and channel capacity. It then explains the successive cancellation decoding logic and provides the necessary formulas, moving on to demonstrate the successive cancellation decoding operation with a tree structure. It also demonstrates the calculation of split channel capacities when polar codes are employed for binary erasure channels, and explains the mathematical formulation of successive cancellation decoding for polar codes. In closing, the book presents and proves the channel polarization theorem, before mathematically analyzing the performance of polar codes.
650 0 $a Coding theory. $3 532585
650 1 4 $a Engineering. $3 586835
650 2 4 $a Communications Engineering, Networks. $3 891094
650 2 4 $a Coding and Information Theory. $3 891252
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer eBooks
830 0 $a Springer topics in signal processing ; $v v.15. $3 3378233
856 4 0 $u http://dx.doi.org/10.1007/978-981-13-0737-9
950 $a Engineering (Springer-11647)