Paper Info
Title
The subband modulation: a joint power and rate allocation framework for subband image and video transmission
Abstract
A new approach of reliable image and video transmission over noisy channels is proposed. For subband decomposed image and video, combined source coding and channel modulation design can achieve high compression efficiency and preferable quality. Further performance gain is obtained by multiresolution modulation as well as a bit remapping scheme that assigns efficient mapping from each source codeword to channel modulation points. We show that the combined source coding and modulation design outperforms conventional approaches, which design source coding and modulation separately. A simple channel distortion approximation is derived by applying a bit-remapping scheme, which allows the power allocation to be employed to further enhance the performance. Compared to the joint source and channel coding with a binary phase shift keying modulation system and fixed modulation with the one-to-one intelligent mapping system, the proposed system performs better in a middle-range signal-to-noise ratio and low channel bandwidth. The simulation is carried out on additive white Gaussian noise channels
Year
DOI
Venue
1999
10.1109/76.780369
IEEE Trans. Circuits Syst. Video Techn.
Keywords
Field
DocType
additive white gaussian noise channels,video transmission,high compression efficiency,joint source/channel coding,modulation coding,subband decomposition.,performance gain,image coding,awgn channels,subband image,joint source,index terms— combined source coding and channel modula- tion,bit remapping,combined source coding/modulation design,combined source coding,modulation point,image resolution,intelligent mapping system,visual communication,data compression,channel modulation,fixed modulation,channel distortion approximation,low channel bandwidth,joint power,rate allocation framework,rate allocation,subband modulation,source coding,simulation,video coding,power allocation,bpsk,design source coding,bit-remapping,binary phase shift keying,modulation system,subband image transmission,subband video transmission,noisy channels,noisy channel,modulation design,multiresolution modulation,image and video transmission,signal-to-noise ratio,source code,channel coding,system performance,intelligent systems,additive white gaussian noise,indexing terms,phase modulation,signal to noise ratio,video compression
Computer science,Delta modulation,Modulation,Artificial intelligence,Channel capacity,Joint source and channel coding,Link adaptation,Computer vision,Quadrature amplitude modulation,Algorithm,Speech recognition,Amplitude modulation,Phase-shift keying
Journal
Volume
Issue
ISSN
9
5
1051-8215
Citations 
PageRank 
References 
11
0.67
14
Authors
2
Name
Order
Citations
PageRank
Haitao Zheng1432.93
K. J. Ray Liu210390743.86