Quantization in Task-Driven Sensing and Distributed Processing

Author

Gray, Robert M.

Author_Institution

Dept. of Electr. Eng., Stanford Univ., CA

Volume

5

fYear

2006

fDate

14-19 May 2006

Abstract

Quantization is the mapping of continuous quantities into discrete quantities, an operation far more general and flexible than the ubiquitous example of analog-to-digital conversion of scalar amplitude values. By appropriate choice of distortion measures and transmission constraints, quantization can incorporate signal processing such as statistical classification, estimation, and modeling. We here survey several approaches to incorporating such tasks into the quantization and possible extensions to distributed signal processing

Keywords

quantisation (signal); signal classification; statistical analysis; analog-to-digital conversion; continuous quantity mapping; discrete quantities; distortion measures; distributed processing; distributed signal processing; scalar amplitude values; signal estimation; signal modeling; statistical classification; task-driven sensing quantization; transmission constraints; Analog-digital conversion; Bit rate; Cost function; Decoding; Digital signal processing; Distortion measurement; Distributed processing; Network address translation; Quantization; Signal processing;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech and Signal Processing, 2006. ICASSP 2006 Proceedings. 2006 IEEE International Conference on

Conference_Location

Toulouse

ISSN

1520-6149

Print_ISBN

1-4244-0469-X

Type

conf

DOI

10.1109/ICASSP.2006.1661459

Filename

1661459