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| Content Provider | Springer Nature Link |
|---|---|
| Author | Schurgers, Curt Chandrakasan, Anantha |
| Copyright Year | 2008 |
| Abstract | Maximum A Posteriori (MAP) decoding is a crucial enabler of turbo coding and other powerful feedback-based algorithms. To allow pervasive use of these techniques in resources constrained systems, it is important to limit their implementation complexity, without sacrificing the superior performance they are known for. We show that introducing traceback information into the MAP algorithm, thereby leveraging components that are also part of Soft-Output Viterbi Algorithms (SOVA), offers two unique possibilities to simplify the computational requirements. Our proposed enhancements are effective at each individual decoding iteration and therefore provide gains on top of existing techniques such as early termination and memory optimizations. Based on these enhancements, we will present three new architectural variants for the decoder. Each one of these may be preferable depending on the decoder memory hardware requirements and number of trellis states. Computational complexity is reduced significantly, without incurring significant performance penalty. |
| Starting Page | 231 |
| Ending Page | 241 |
| Page Count | 11 |
| File Format | |
| ISSN | 19398018 |
| Journal | Journal of Signal Processing Systems |
| Volume Number | 53 |
| Issue Number | 3 |
| e-ISSN | 19398115 |
| Language | English |
| Publisher | Springer US |
| Publisher Date | 2008-05-28 |
| Publisher Place | Boston |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | error correction coding MAP estimation very-large-scale integration Computer Imaging, Vision, Pattern Recognition and Graphics Pattern Recognition Image Processing and Computer Vision Electronic and Computer Engineering Circuits and Systems Signal, Image and Speech Processing |
| Content Type | Text |
| Resource Type | Article |
| Subject | Theoretical Computer Science Signal Processing Control and Systems Engineering Information Systems Modeling and Simulation Hardware and Architecture |
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