Joint source-channel iterative decoding based on hidden markov model
A joint source-channel decoding algorithm using source parameters which were estimated by the soft output of Turbo code with Baum-Welch reestimated algorithm was proposed. The source parameters were obtained by the soft output of decoding the received noisy information sequence. The joint source-cha...
Saved in:
Main Authors: | YIN Wei-wei, WU Le-nan |
---|---|
Format: | Article |
Language: | zho |
Published: |
Editorial Department of Journal on Communications
2006-01-01
|
Series: | Tongxin xuebao |
Subjects: | |
Online Access: | http://www.joconline.com.cn/zh/article/74662323/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Hidden Markov models and neural networks in formation of investment portfolio
by: P.A. Novikov, et al.
Published: (2018-06-01) -
SSCANL decoder based joint iterative detection and decoding algorithm
by: Chongyang LIU, et al.
Published: (2022-10-01) -
Research of the Fault Diagnosis and Pattern Recognition based on Delayed Correlation-Envelope Technique and Hidden Markov Model
by: Liu Xin, et al.
Published: (2015-01-01) -
Iterative channel estimation based on the Turbo principle for UWB system
by: TENG Peng-wei1, et al.
Published: (2008-01-01) -
Iterative channel estimation and decoding algorithm for quasi-coherent demodulation of Turbo coded GMSK signals
by: WU Tuan-feng, et al.
Published: (2006-01-01)