Title :
Frog-in-the-box index codes with maximum likelihood decoding for robust scalar quantization
Author :
Na, Ilju ; Neuhoff, David L.
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci.,, Michigan Univ., Ann Arbor, MI, USA
fDate :
27 June-2 July 2004
Abstract :
The performance of frog-in-the box (FIB) code index assignments is numerically investigated when maximum likelihood (ML) decoding is used in place of optimal MMSE decoding. Specifically, the reproduction levels are chosen to be those that would be used for a noiseless channel, and the decoder simply maps the channel output to a level whose index codeword is closest to the channel output.
Keywords :
binary codes; maximum likelihood decoding; quantisation (signal); frog-in-the-box index codeword assignment; maximum likelihood decoding; noiseless channel; scalar quantization; Additive white noise; Error correction codes; Gaussian noise; Hamming distance; Maximum likelihood decoding; Noise level; Quantization; Reflective binary codes; Robustness; Signal to noise ratio;
Conference_Titel :
Information Theory, 2004. ISIT 2004. Proceedings. International Symposium on
Print_ISBN :
0-7803-8280-3
DOI :
10.1109/ISIT.2004.1365464
