Title :
Snake-in-the-box codes as robust quantizer index assignments
Author :
Kim, Sungill ; Neuhoff, David L.
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., Michigan Univ., Ann Arbor, MI, USA
Abstract :
A good assignment of binary codewords to cells is necessary for a scalar quantizer to be robust to channel errors. We investigate a redundant assignment method that uses snake-in-the-box codes, which have a desirable distance-preserving property
Keywords :
binary codes; combined source-channel coding; quantisation (signal); binary codewords assignment; channel errors; distance-preserving property; joint source-channel coding; redundant assignment method; robust quantizer index assignments; scalar quantizer; snake-in-the-box codes; AWGN; DH-HEMTs; Decoding; Error correction; Error correction codes; Error probability; Gaussian noise; Niobium compounds; Robustness; Tin;
Conference_Titel :
Information Theory, 2000. Proceedings. IEEE International Symposium on
Conference_Location :
Sorrento
Print_ISBN :
0-7803-5857-0
DOI :
10.1109/ISIT.2000.866700
