DocumentCode
2059859
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
fYear
2004
fDate
27 June-2 July 2004
Firstpage
428
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Theory, 2004. ISIT 2004. Proceedings. International Symposium on
Print_ISBN
0-7803-8280-3
Type
conf
DOI
10.1109/ISIT.2004.1365464
Filename
1365464
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