Title :
Scalar quantization of memoryless sources over memoryless channels using rate-one convolutional codes
Author :
Phamdo, Nam ; Farvardin, Nariman
Author_Institution :
Dept. of Electr. Eng., State Univ. of New York, Stony Brook, NY, USA
fDate :
27 Jun-1 Jul 1994
Abstract :
Source and channel coding techniques are widely employed in many communication systems. In source coding, the objective is to retain the essential information of the source by removing its redundancy. Channel coding, on the other hand, introduces redundancy in order to provide protection against channel noise. When designing channel codes, it is common to assume that the source encoder has removed all of the source redundancy. In some practical situations, however, the source encoder fails to entirely eliminate the source redundancy. In these cases, the redundancy remaining at the output of the source encoder, the residual redundancy, may be used to combat channel noise
Keywords :
channel coding; convolutional codes; memoryless systems; noise; quantisation (signal); redundancy; source coding; telecommunication channels; channel codes; channel coding; channel noise protection; communication systems; memoryless channels; memoryless sources; rate-one convolutional codes; residual redundancy; scalar quantization; source coding; source encoder; source redundancy; Channel coding; Convolutional codes; Decoding; Detectors; Educational institutions; Entropy; Feedback; Protection; Quantization; Source coding;
Conference_Titel :
Information Theory, 1994. Proceedings., 1994 IEEE International Symposium on
Conference_Location :
Trondheim
Print_ISBN :
0-7803-2015-8
DOI :
10.1109/ISIT.1994.394975