TY - GEN
T1 - An integrated joint source-channel coding framework for video transmission over wireless fading channels
AU - Maani, Ehsan
AU - Katsaggelos, Aggelos K.
PY - 2005
Y1 - 2005
N2 - Techniques for modeling and simulating channel conditions play an essential role in efficient real-time video transmission over wireless networks. In this paper, we consider a Finite-State Markov Chain (FSMC) as the channel model to perform Joint Source Channel Coding (JSCC). We derive a method to optimally estimate the overall distortion at the decoder. The optimization is done in an integrated manner and in one step. Computer simulations are performed to show the advantages of the proposed model.
AB - Techniques for modeling and simulating channel conditions play an essential role in efficient real-time video transmission over wireless networks. In this paper, we consider a Finite-State Markov Chain (FSMC) as the channel model to perform Joint Source Channel Coding (JSCC). We derive a method to optimally estimate the overall distortion at the decoder. The optimization is done in an integrated manner and in one step. Computer simulations are performed to show the advantages of the proposed model.
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M3 - Conference contribution
AN - SCOPUS:84962053193
T3 - 43rd Annual Allerton Conference on Communication, Control and Computing 2005
SP - 1177
EP - 1186
BT - 43rd Annual Allerton Conference on Communication, Control and Computing 2005
PB - University of Illinois at Urbana-Champaign, Coordinated Science Laboratory and Department of Computer and Electrical Engineering
T2 - 43rd Annual Allerton Conference on Communication, Control and Computing 2005
Y2 - 28 September 2005 through 30 September 2005
ER -