Title :
Searching for TCM codes using genetic algorithms
Author :
Soto, I. ; Carrasco, R.A.
Author_Institution :
Sch. of Eng., Staffordshire Univ., Stafford, UK
fDate :
2/1/1997 12:00:00 AM
Abstract :
The authors show a new approach to the search for convolutional codes using genetic algorithms. By the use of genetic algorithms, automatic classification of the convolutional codes and less computationally demanding algorithms are required to find and evaluate the most suitable codes. Also, code performance and complexity are evaluated
Keywords :
convolutional codes; genetic algorithms; search problems; trellis coded modulation; TCM codes; automatic classification; code complexity; code performance; convolutional codes; genetic algorithms; parallel processing; search algorithms;
Journal_Title :
Communications, IEE Proceedings-
DOI :
10.1049/ip-com:19971039
