Title :
Polar codes for discrete alphabets
Author_Institution :
UCSD, La Jolla, CA, USA
fDate :
7/1/2012 12:00:00 AM
Abstract :
An open problem in polarization theory is whether all memoryless channels and sources with composite (that is, non-prime) alphabet sizes can be polarized with deterministic, Arıkan-like methods. This paper answers the question in the affirmative by giving a method to polarize all discrete memoryless channels and sources. The method yields codes that retain the low encoding and decoding complexity of binary polar codes.
Keywords :
"Transforms","Entropy","Encoding","Random variables","Memoryless systems","Decoding","Complexity theory"
Conference_Titel :
Information Theory Proceedings (ISIT), 2012 IEEE International Symposium on
Print_ISBN :
978-1-4673-2580-6
Electronic_ISBN :
2157-8117
DOI :
10.1109/ISIT.2012.6283740