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
fDate :
29 June-4 July 2003
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;
Conference_Titel :
Information Theory, 2003. Proceedings. IEEE International Symposium on
Print_ISBN :
0-7803-7728-1
DOI :
10.1109/ISIT.2003.1228500
