Title :
Convolutional codes under a minimal trellis complexity measure
Author :
Uchôa-Filho, Bartolomeu F. ; Souza, Richard Demo ; Pimentel, Cecilio ; Jar, Marcel
Author_Institution :
GPqCom/EEL/CTC/UFSC, Florianopolis
fDate :
1/1/2009 12:00:00 AM
Abstract :
We conduct a code search, restricted to the recently introduced class of generalized punctured convolutional codes, under the minimal trellis complexity measure defined by McEliece and Lin. For the same decoding complexity and the same code rate, new codes are compared to well-known existing classes of convolutional codes. Some of the best convolutional codes (in a distance spectrum sense) of existing and new trellis complexities are tabulated.
Keywords :
convolutional codes; decoding; search problems; trellis codes; code search; decoding complexity; generalized punctured convolutional code; minimal trellis complexity measure; Codecs; Communications Society; Conferences; Convolutional codes; Decoding; Encoding; Equations; Information theory; Labeling; Viterbi algorithm; Convolutional codes, decoding complexity, distance spectrum, minimal trellis;
Journal_Title :
Communications, IEEE Transactions on
DOI :
10.1109/TCOMM.2009.0901.060437