A Simulation Tool for Ldpc Encoder-Decoder

Gajjar, Ruchi; Gajjar, Nagendra; Pandya, Nishit

ISBN 10: 3659393193 / ISBN 13: 9783659393198

Published by VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG, 2013

About this Item

Print on Demand pp. 72 2:B&W 6 x 9 in or 229 x 152 mm Perfect Bound on Creme w/Gloss Lam.

Seller Inventory # 131792697

Bibliographic Details

• Title: A Simulation Tool for Ldpc Encoder-Decoder
• Publisher: VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG
• Publication Date: 2013
• Language: English
• ISBN 10: 3659393193
• ISBN 13: 9783659393198
• Binding: Soft cover
• Condition: New

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.