Title :
Quantization in Task-Driven Sensing and Distributed Processing
Author_Institution :
Dept. of Electr. Eng., Stanford Univ., CA
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;
Conference_Titel :
Acoustics, Speech and Signal Processing, 2006. ICASSP 2006 Proceedings. 2006 IEEE International Conference on
Conference_Location :
Toulouse
Print_ISBN :
1-4244-0469-X
DOI :
10.1109/ICASSP.2006.1661459