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Performance analysis of n-channel symmetric FEC-based multiple description coding for OFDM networks.
Chang, Seok-Ho; Cosman, Pamela C; Milstein, Laurence B.
Affiliation
  • Chang SH; Department of Electrical and Computer Engineering, University of California, San Diego, La Jolla, CA 92093, USA. s4chang@ucsd.edu
IEEE Trans Image Process ; 20(4): 1061-76, 2011 Apr.
Article in En | MEDLINE | ID: mdl-20889429
Recently, multiple description source coding has emerged as an attractive framework for robust multimedia transmission over packet erasure channels. In this paper, we mathematically analyze the performance of n-channel symmetric FEC-based multiple description coding for a progressive mode of transmission over orthogonal frequency division multiplexing (OFDM) networks in a frequency-selective slowly-varying Rayleigh faded environment. We derive the expressions for the bounds of the throughput and distortion performance of the system in an explicit closed form, whereas the exact performance is given by an expression in the form of a single integration. Based on this analysis, the performance of the system can be numerically evaluated. Our results show that at high SNR, the multiple description encoder does not need to fine-tune the optimization parameters of the system due to the correlated nature of the subcarriers. It is also shown that, despite the bursty nature of the errors in a slow fading environment, FEC-based multiple description coding without temporal coding provides a greater advantage for smaller description sizes.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Algorithms / Computer Communication Networks / Signal Processing, Computer-Assisted / Image Interpretation, Computer-Assisted / Data Compression Type of study: Diagnostic_studies Language: En Journal: IEEE Trans Image Process Journal subject: INFORMATICA MEDICA Year: 2011 Document type: Article Affiliation country: United States Country of publication: United States

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Algorithms / Computer Communication Networks / Signal Processing, Computer-Assisted / Image Interpretation, Computer-Assisted / Data Compression Type of study: Diagnostic_studies Language: En Journal: IEEE Trans Image Process Journal subject: INFORMATICA MEDICA Year: 2011 Document type: Article Affiliation country: United States Country of publication: United States