Guessing Random Additive Noise Decoding (Record no. 15412)

MARC details
000 -LEADER
fixed length control field 03223nam a2200361Ia 4500
000 - LEADER
fixed length control field 04005nam a22003975i 4500
001 - CONTROL NUMBER
control field 978-3-031-31663-0
003 - CONTROL NUMBER IDENTIFIER
control field DE-He213
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240319120945.0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field cr nn 008mamaa
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 230817s2023 sz | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9783031316630
-- 978-3-031-31663-0
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 3.54
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Abbas, Syed Mohsin.
9 (RLIN) 33682
245 ## - TITLE STATEMENT
Title Guessing Random Additive Noise Decoding
Statement of responsibility, etc. by Syed Mohsin Abbas, Marwan Jalaleddine, Warren J. Gross.
Medium [electronic resource] :
250 ## - EDITION STATEMENT
Edition statement 1st ed. 2023.
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Cham
Name of publisher, distributor, etc. Springer Nature Switzerland
Date of publication, distribution, etc. 2023
300 ## - PHYSICAL DESCRIPTION
Extent XIV, 151 p. 114 illus., 101 illus. in color.
Other physical details online resource.
520 ## - SUMMARY, ETC.
Summary, etc. This book gives a detailed overview of a universal Maximum Likelihood (ML) decoding technique, known as Guessing Random Additive Noise Decoding (GRAND), has been introduced for short-length and high-rate linear block codes. The interest in short channel codes and the corresponding ML decoding algorithms has recently been reignited in both industry and academia due to emergence of applications with strict reliability and ultra-low latency requirements . A few of these applications include Machine-to-Machine (M2M) communication, augmented and virtual Reality, Intelligent Transportation Systems (ITS), the Internet of Things (IoTs), and Ultra-Reliable and Low Latency Communications (URLLC), which is an important use case for the 5G-NR standard. GRAND features both soft-input and hard-input variants. Moreover, there are traditional GRAND variants that can be used with any communication channel, and specialized GRAND variants that are developed for a specific communication channel. This book presents a detailed overview of these GRAND variants and their hardware architectures. The book is structured into four parts. Part 1 introduces linear block codes and the GRAND algorithm. Part 2 discusses the hardware architecture for traditional GRAND variants that can be applied to any underlying communication channel. Part 3 describes the hardware architectures for specialized GRAND variants developed for specific communication channels. Lastly, Part 4 provides an overview of recently proposed GRAND variants and their unique applications. This book is ideal for researchers or engineers looking to implement high-throughput and energy-efficient hardware for GRAND, as well as seasoned academics and graduate students interested in the topic of VLSI hardware architectures. Additionally, it can serve as reading material in graduate courses covering modern error correcting codes and Maximum Likelihood decoding for short codes.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Arithmetic and Logic Structures.
9 (RLIN) 33683
Topical term or geographic name entry element Coding and Information Theory.
9 (RLIN) 33684
Topical term or geographic name entry element Coding theory.
9 (RLIN) 33685
Topical term or geographic name entry element Communications Engineering, Networks.
9 (RLIN) 33686
Topical term or geographic name entry element Computer arithmetic and logic units.
9 (RLIN) 33687
Topical term or geographic name entry element Information theory.
9 (RLIN) 33688
Topical term or geographic name entry element Logic design.
9 (RLIN) 33689
Topical term or geographic name entry element Logic Design.
9 (RLIN) 33690
Topical term or geographic name entry element Telecommunication.
9 (RLIN) 33691
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Gross, Warren J.
9 (RLIN) 33692
Personal name Jalaleddine, Marwan.
9 (RLIN) 33693
856 ## - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://doi.org/10.1007/978-3-031-31663-0">https://doi.org/10.1007/978-3-031-31663-0</a>
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type e-Book
Source of classification or shelving scheme Dewey Decimal Classification
Holdings
Withdrawn status Lost status Damaged status Not for loan Home library Current library Shelving location Date acquired Source of acquisition Total Checkouts Barcode Date last seen Price effective from Koha item type Public note
        S. R. Ranganathan Learning Hub S. R. Ranganathan Learning Hub Online   Veda Library Solutions Pvt. Ltd., Noida   EB2398 2024-03-19 2024-03-19 e-Book Platform:Springer