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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Dabiri, D. Blake, I.F. |
| Copyright Year | 1999 |
| Description | Author affiliation: LSI Logic Corp., Milpitas, CA, USA (Dabiri, D.) |
| Abstract | A new surviving paths unit (SPU) is described wherein the decision bits produced in the add-compare-select unit (ACSU) of a parallel architecture for the Viterbi algorithm are prepared for efficient storage in a single compact random access memory (RAM). A significant reduction in the size of the RAM is achieved by pre-processing the data in an especially designed unit. The new SPU never requires a memory bandwidth more than the least possible bandwidth imposed by the throughput of the ACSU. A novel interface unit, hereafter referred to as the ACS interface unit (ACSIU), resolves surviving paths down to a pre-determined depth on the trellis diagram of a finite state Markov chain, and breaks the decision bits into a sequence of successive vectors, each of the same size as the word-size of the RAM. At any trace-back step, a subset of the previous content of the trace-back register is used to generate the address for the current output of the RAM. A disjoint subset of the current content of the trace-back register is used to select a pre-determined number of bits from the output of the RAM. The selected bits are used to update the content of the trace-back register. The trace-back register after a sufficient number of trace-back steps, contains the estimated bits. |
| Starting Page | 300 |
| Ending Page | 304 |
| File Size | 440396 |
| Page Count | 5 |
| File Format | |
| ISBN | 078035284X |
| DOI | 10.1109/ICC.1999.767949 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1999-06-06 |
| Publisher Place | Canada |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Viterbi algorithm Read-write memory Maximum likelihood decoding Bandwidth Random access memory Throughput Large scale integration Logic Maximum likelihood estimation Convolutional codes |
| Content Type | Text |
| Resource Type | Article |
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