DocumentCode
397425
Title
Optimality of the natural binary code for quantizers with channel optimized decoders
Author
Farber, Benjamin ; Zeger, Kenneth
Author_Institution
Dept. of Electr. & Comput. Eng., California Univ., San Diego, La Jolla, CA, USA
fYear
2003
fDate
29 June-4 July 2003
Firstpage
483
Abstract
In this paper, the mean squared error (MSE) for the natural binary code and for randomly chosen index assignments are calculated, and the natural binary code is shown to be mean squared optimal among all possible index assignments.
Keywords
binary codes; channel coding; mean square error methods; MSE; channel optimized decoders; index assignments; mean squared error; natural binary code; quantizers; Binary codes; Decoding; Degradation; Error correction; Error probability; Memoryless systems; Noise robustness; Production; Quantization; Wireless communication;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Theory, 2003. Proceedings. IEEE International Symposium on
Print_ISBN
0-7803-7728-1
Type
conf
DOI
10.1109/ISIT.2003.1228500
Filename
1228500
Link To Document