Paper Info
Title
Sub-optimal MMSE based joint source/channel decoding of a matching pursuit coded image bit-stream over a memoryless noisy channel
Abstract
Joint source/channel (JSC) decoding based on using the residual redundancy in a source coder output stream is an interesting bandwidth efficient method of reducing the effects of a noisy channel. In this paper, we consider the problem of JSC decoding of a matching pursuit (MP) based image transmission over a memory-less noisy channel. This problem is solved by means of MMSE decoding formulation for a sequence of received analysis indices, and a sub-optimal solution which yields high quality error concealment is devised. The proposed method exploits the residual redundancy that exists in neighboring image blocks as well as the neighboring MP analysis stages to overcome the channel noise degradations with no increase in the required bandwidth.
Year
DOI
Venue
2008
10.1109/ICME.2008.4607702
Hannover
Keywords
Field
DocType
combined source-channel coding,image coding,least mean squares methods,MMSE decoding formulation,bandwidth efficient method,channel noise degradations,high quality error concealment,matching pursuit based image transmission,matching pursuit coded image bit-stream,memoryless noisy channel,neighboring MP analysis stages,neighboring image blocks,received analysis indices,residual redundancy,source coder output stream,sub-optimal MMSE based joint source/channel decoding
Matching pursuit,Iterative reconstruction,Pattern recognition,Computer science,Residual redundancy,Communication channel,Bandwidth (signal processing),Redundancy (engineering),Artificial intelligence,Decoding methods,Bitstream
Conference
ISBN
Citations 
PageRank 
978-1-4244-2571-6
0
0.34
References 
Authors
10
2
Name
Order
Citations
PageRank
Abbas Ebrahimi-Moghadam1274.07
Shahram Shirani225037.41