Title :
An upper bound on the slope of convolutional codes
Author :
Jordan, Ralph ; Pavlushkov, Victor ; Zyablov, Viktor V.
Author_Institution :
TAIT, Ulm Univ., Germany
Abstract :
The slope is an important distance parameter of a convolutional code. It essentially determines the error-correcting capability. Here we derive an upper bound on the slope.
Keywords :
convolutional codes; error correction codes; convolutional code; distance parameter; error-correcting capability; slope; upper bound; Concatenated codes; Convolutional codes; Councils; Delay; Iterative decoding; Linear matrix inequalities; Sequential circuits; State feedback; State-space methods; Upper bound;
Conference_Titel :
Information Theory, 2002. Proceedings. 2002 IEEE International Symposium on
Print_ISBN :
0-7803-7501-7
DOI :
10.1109/ISIT.2002.1023696
