DocumentCode
2623365
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
fYear
1994
fDate
27 Jun-1 Jul 1994
Firstpage
235
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Theory, 1994. Proceedings., 1994 IEEE International Symposium on
Conference_Location
Trondheim
Print_ISBN
0-7803-2015-8
Type
conf
DOI
10.1109/ISIT.1994.394975
Filename
394975
Link To Document