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On The Optimum Performance Theoretically Attainable for Scalarly Quantized Correlated Sources (2006)
| Content Provider | CiteSeerX |
|---|---|
| Author | Clevorn, Thorsten Schmalen, Laurent Vary, Peter Adrat, Marc |
| Description | Turbo processing enables appropriately designed sys-tems to operate close to their capacity limits. In this contribution we present an upper bound, the optimum performance theoretically attainable (OPTA), that can be achieved when transmitting the samples of scalarly quantized correlated sources. This OPTA limit is based on the combination of the channel capacity and and the distortion rate function. To incorporate the effects of the finite block sizes in real systems, additionally the inevitable loss is taken into account by the sphere-packing bound. In a simulation example we present a multi-mode iterative source-channel decoding scheme that is based on highly redundant index assignments. By its Turbo processing at the receiver and due to its multi-mode flexibility this system can approach the OPTA limit in a wide range of channel conditions. 1. |
| File Format | |
| Language | English |
| Publisher Date | 2006-01-01 |
| Publisher Institution | in Proc. of ISITA, Seoul, Korea |
| Access Restriction | Open |
| Subject Keyword | Real System Inevitable Loss Distortion Rate Function Correlated Source Scalarly Quantized Correlated Source Capacity Limit Optimum Performance Theoretically Attainable Finite Block Size Wide Range Upper Bound Simulation Example Channel Condition Opta Limit Multi-mode Iterative Source-channel Turbo Processing Enables Optimum Performance Channel Capacity Multi-mode Flexibility Turbo Processing Redundant Index Assignment Sphere-packing Bound |
| Content Type | Text |
| Resource Type | Article |
