A Simulation Tool for LDPC Encoder-Decoder

Ruchi Gajjar

ISBN 10: 3659393193 / ISBN 13: 9783659393198

Published by LAP LAMBERT Academic Publishing Jun 2013, 2013

About this Item

This item is printed on demand - Print on Demand Titel. Neuware -Low Density Parity- Check (LDPC) codes are a class of linear block codes which provide good error detection and error correction capabilities and are capable of achieving near Shannon- limit channel communication. Hence, they are included as error correction codes in many modern communication system standards like Digital Video Broadcasting (DVB-S2), Gigabit Ethernet (10GBASE-T) and WiMax. In this book, we bring together several of approaches for construction of LDPC codes and we examine them from structural point of view. We have designed a simulation tool for the performance evaluation of LDPC codes in terms their Bit Error Rate and Block Error Rate. The influence of the type of LDPC codes on the decoding performance is also investigated using simulations. This allows us to differentiate and select an appropriate LDPC code according to performance, latency, decoding complexity, and memory requirements. Thus this tool can aid a designer to test his LDPC code under different parameters and also choose a particular LDPC matrix with desired error correction requirements.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 72 pp. Englisch.

Seller Inventory # 9783659393198

Bibliographic Details

• Title: A Simulation Tool for LDPC Encoder-Decoder
• Publisher: LAP LAMBERT Academic Publishing Jun 2013
• Publication Date: 2013
• Language: English
• ISBN 10: 3659393193
• ISBN 13: 9783659393198
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 5D millimeters 220 millimeters width by 150 millimeters height by 5 millimeters depth
• Weight: 125 grams

About this title

Synopsis

Low Density Parity- Check (LDPC) codes are a class of linear block codes which provide good error detection and error correction capabilities and are capable of achieving near Shannon- limit channel communication. Hence, they are included as error correction codes in many modern communication system standards like Digital Video Broadcasting (DVB-S2), Gigabit Ethernet (10GBASE-T) and WiMax. In this book, we bring together several of approaches for construction of LDPC codes and we examine them from structural point of view. We have designed a simulation tool for the performance evaluation of LDPC codes in terms their Bit Error Rate and Block Error Rate. The influence of the type of LDPC codes on the decoding performance is also investigated using simulations. This allows us to differentiate and select an appropriate LDPC code according to performance, latency, decoding complexity, and memory requirements. Thus this tool can aid a designer to test his LDPC code under different parameters and also choose a particular LDPC matrix with desired error correction requirements.

About the Author

Ruchi Gajjar is M.E. in Electronics and Communication with specialization in Communication Systems Engineering from Gujarat University. She is currently working as an Assistant Professor in Nirma University, Gujarat, India and has 3 years of teaching experience. She is a member of ISTE. Her research interests are in the field of image processing.