Title :
Survivor memory reduction in the Viterbi algorithm
Author :
Abbasfar, Aliazam ; Yao, Kung
Author_Institution :
Dept. of Electr. Eng., California Univ., Los Angeles, CA, USA
fDate :
4/1/2005 12:00:00 AM
Abstract :
This paper presents a novel approach for implementation of the Viterbi algorithm, wherein survivor paths are generally kept in as low as one half of the storage required for traditional trace-back methods. Survivor memory reduction is obtained by storing only the useful part of the survivor paths. In other words, the redundancy in the survivor paths is removed. A decoder using this approach not only requires significantly less memory, but also runs faster than conventional decoders. Some instances of this approach are explicitly presented.
Keywords :
Huffman codes; Viterbi decoding; convolutional codes; variable length codes; Huffman codes; Viterbi algorithm; convolutional code; decoder; survivor memory reduction; trace-back method; variable length codes; Binary sequences; Convolutional codes; Digital communication; Encoding; Error correction; Maximum likelihood decoding; Maximum likelihood detection; Maximum likelihood estimation; Redundancy; Viterbi algorithm;
Journal_Title :
Communications Letters, IEEE
DOI :
10.1109/LCOMM.2005.04004