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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Peiyu Tan Jing Li |
| Copyright Year | 2005 |
| Description | Author affiliation: Dept. of Electr. & Comput. Eng., Lehigh Univ., Bethlehem, PA (Peiyu Tan; Jing Li) |
| Abstract | We investigate the self error resilience of practical distributed source coding (DSC) approaches at the presence of residual transmission errors. It is firstly shown that the existing asymmetric syndrome-former inverse-syndrome-former framework (ASIF), although simple, general and optimal for the noiseless-channel case, is not sustainable to transmission errors. The vulnerability stems from the underlying binning approach. Using ideas from channel coding, we illuminate a subtle relation between the binning approach and the parity approach, and demonstrate, through the examples of convolutional codes, how the former can be transformed to the latter for stronger self error resilience. Simulation results confirm that the new scheme is much more robust and less error-sensitive than the existing ASIF scheme |
| Starting Page | 5 |
| Ending Page | 2389 |
| File Size | 146495 |
| Page Count | 2385 |
| File Format | |
| ISBN | 0780394143 |
| DOI | 10.1109/GLOCOM.2005.1578090 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2005-11-28 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Robustness Channel coding Resilience Convolutional codes Source coding Protection Decoding Computer errors Parity check codes Turbo codes |
| Content Type | Text |
| Resource Type | Article |
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