Title :
An upper bound on the number of errors corrected by a convolutional code
Author_Institution :
Dept. of Telecommun., Tech. Univ. Denmark, Lyngby, Denmark
Abstract :
The number of errors that a convolutional codes can correct in a segment of the encoded sequence is upper bounded by the number of distinct syndrome sequences of the relevant length
Keywords :
binary sequences; convolutional codes; error correction codes; convolutional code; corrected errors; encoded sequence; sequence length; syndrome sequences; upper bound; Block codes; Convolutional codes; Decoding; Electronic mail; Error analysis; Error correction; Error correction codes; Pattern analysis; Testing; Upper bound;
Conference_Titel :
Information Theory, 2000. Proceedings. IEEE International Symposium on
Conference_Location :
Sorrento
Print_ISBN :
0-7803-5857-0
DOI :
10.1109/ISIT.2000.866587
