Adaptive Decoding Algorithms for Convolutional Turbo Codes - Softcover

Lin, Yi-Nan; Liu, Shun-Wei

Softcover

ISBN 10: 3330820721 ISBN 13: 9783330820722

Publisher: 金琅学术出版社, 2017

Synopsis

The technique of the convolutional turbo coding was proposed using iterative decoding, recursive systematic convolutional code, nonuniform random interleaving, soft-in soft-out concepts and the maximum a posteriori algorithm or Viterbi algorithm, the turbo coding in terms of bit error rate has been shown that have good coding gain performance. As the number if iterations increases, jointing scaling factor within the soft inputs and outputs of decoding gradually becomes more reliable. Then, in this thesis, we presents an efficient adaptive scaling scheme to normalize the extrinsic information, which is exchanged between the constituent decoders, can improve the decoding quality.

About this title

About the Author

Yi-Nan Lin joined the Department of Electronic Engineering at MingChi University of Technology, in 1990. He is now a associate professor. His current research interests include error-control coding and embedded system design.

Edition details

• Publisher: 金琅学术出版社
• Publication date: 2017
• Language: English
• ISBN 10: 3330820721
• ISBN 13: 9783330820722
• Binding: Paperback
• Number of pages: 80