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Quantization for Distributed Estimation

Authors: Kuan-Yu Chen; Kwang-Cheng Chen;

Quantization for Distributed Estimation

Abstract

Distributed Estimation scheme has been widely used in sensor networks. Through various approaches, sum of bits, Sigma-Delta modulation, and source coding, this paper implements the above techniques for distributed estimation and provides a new one called Quantization Region Allocation. In the end, this paper analyzes the performance (minimum mean squared error) and demonstrates performance approximating the soft decision scenario.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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Average
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