Quantization in task-driven sensing and distributed processing

被引：0
作者：
Gray, Robert M. [1 ]
机构：
[1] Stanford Univ, Dept Elect Engn, Stanford, CA 94305 USA
来源：
2006 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING, VOLS 1-13 | 2006年
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D O I：
暂无
中图分类号：
O42 [声学];
学科分类号：
070206 ; 082403 ;
摘要：
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.
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页码：5907 / 5910
页数：4
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