Title :
Systematic encoders for convolutional codes and their application to turbo codes
Author :
Benedetto, Sergio ; Garello, Roberto ; Montorsi, Guido
Author_Institution :
Dipt. di Elettronica, Politecnico di Torino, Italy
Abstract :
Systematic recursive convolutional encoders have been shown to play a crucial role in the design and implementation of parallel concatenated codes (“turbo codes”). We present here a canonical structure of minimal linear systematic rate k/n encoders and use it in the search for good constituent codes of parallel concatenated codes. Tables of the best encoders for various rates are also presented
Keywords :
concatenated codes; convolutional codes; linear codes; canonical structure; constituent codes; convolutional codes; group codes; minimal linear systematic rate k/n encoders; parallel concatenated codes; recursive convolutional encoders; systematic encoders; turbo codes; Carbon capture and storage; Character generation; Concatenated codes; Convolutional codes; Decoding; Electronic mail; Feedback; Guidelines; Performance analysis; Turbo codes;
Conference_Titel :
Global Telecommunications Conference, 1996. GLOBECOM '96. 'Communications: The Key to Global Prosperity
Print_ISBN :
0-7803-3336-5
DOI :
10.1109/GLOCOM.1996.586739
