Abstract | ||
---|---|---|
Table based error correction and decoding of rate one-half convolutional codes is described. A new class of fast-decodeable locally invertible convolutional codes based on a one-to-one mapping between information and encoded blocks of equal lengths is defined. The syndrome is used as an address to access a correction table which stores pre-computed correction information. The correction table generation process is described and a specific table based correction algorithm is given. Performance of this scheme is analyzed and simulation results are presented.<> |
Year | DOI | Venue |
---|---|---|
1995 | 10.1109/26.380090 | IEEE Transactions on Communications |
Keywords | Field | DocType |
convolutional codes,decoding,error correction codes,feedback,correction table,encoded blocks,error correction,fast-decodeable locally invertible convolutional codes,one-to-one mapping,performance,pre-computed correction information,rate one-half convolutional codes,simulation results,table based correction algorithm,table based decoding | Information theory,Convolutional code,Sequential decoding,Computer science,Turbo code,Serial concatenated convolutional codes,Algorithm,Error detection and correction,Invertible matrix,Decoding methods | Journal |
Volume | Issue | ISSN |
43 | 2 | 0090-6778 |
Citations | PageRank | References |
2 | 0.43 | 10 |
Authors | ||
3 |
Name | Order | Citations | PageRank |
---|---|---|---|
ajay dholakia | 1 | 18 | 3.19 |
Mladen A. Vouk | 2 | 452 | 49.92 |
donald l bitzer | 3 | 15 | 9.53 |