Parallel turbo decoding
| dc.contributor.advisor | Kelley, Brian | |
| dc.contributor.author | Huang, Szu-Hao | |
| dc.contributor.committeeMember | John, Eugene | |
| dc.contributor.committeeMember | Akopian, David | |
| dc.date.accessioned | 2024-02-09T22:22:59Z | |
| dc.date.available | 2024-02-09T22:22:59Z | |
| dc.date.issued | 2009 | |
| dc.description | This item is available only to currently enrolled UTSA students, faculty or staff. To download, navigate to Log In in the top right-hand corner of this screen, then select Log in with my UTSA ID. | |
| dc.description.abstract | Turbo codes, which are the most considerable important research in the coding theory in recent years, were proposed by Berrou, Glovieux, and Thitimajshima in 1993. It has a near-capacity bit error rate performance at low signal-to-noise ratios with acceptable computation complexity. A turbo decoder consists of two SISO decoders which connected by an interleaver and a deinterleaver with each other. Two decoding algorithms, MAP (Maximum a posteriori probability) and SOVA (Soft Output Viterbi Algorithm) are applied in SISO decoders and presented in this thesis. In order to reduce processing time and achieve high throughput decoding, a sliding window approach is proposed and several parameters are defined to analysis the trade-off of the parallel turbo decoding architectures scheme which implemented in practice. | |
| dc.description.department | Electrical and Computer Engineering | |
| dc.format.extent | 71 pages | |
| dc.format.mimetype | application/pdf | |
| dc.identifier.isbn | 9781109297584 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.12588/3853 | |
| dc.language | en | |
| dc.subject.classification | Electrical engineering | |
| dc.title | Parallel turbo decoding | |
| dc.type | Thesis | |
| dc.type.dcmi | Text | |
| dcterms.accessRights | pq_closed | |
| thesis.degree.department | Electrical and Computer Engineering | |
| thesis.degree.grantor | University of Texas at San Antonio | |
| thesis.degree.level | Masters | |
| thesis.degree.name | Master of Science |
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