Information Flow Optimization for Estimation in Linear Models Using a Sensor Network-Reference-Cited by-同舟云学术

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Information Flow Optimization for Estimation in Linear Models Using a Sensor Network

Published:2023 Issue: Volume:30 Page:170-174
ISSN:1070-9908
Container-title:IEEE Signal Processing Letters
language:
Short-container-title:IEEE Signal Process. Lett.

Author:

Deshmukh Aditya¹^ORCID,Liu Jing²,Veeravalli Venugopal V.¹^ORCID,Verma Gunjan³

Affiliation:

1. ECE Department and Coordinated Science Lab, University of Illinois at Urbana-Champaign, Urbana, IL, USA

2. Mitsubishi Electric Research Laboratories, Cambridge, MA, USA

3. Network, Cyber, and Computational Sciences Division, Army Research Laboratory South, Texas, TX, USA

Funder

Army Research Laboratory

University of Illinois at Urbana-Champaign through Cooperative Agreement

Postdoctoral Research Associate at UIUC

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Electrical and Electronic Engineering,Signal Processing

Link

https://ieeexplore.ieee.org/ielam/97/10036333/10044966-aam.pdf

Reference26 articles.

1. Distributed Vector Estimation for Power- and Bandwidth-Constrained Wireless Sensor Networks

2. On Quantizer Design for Distributed Bayesian Estimation in Sensor Networks

3. Direction of Arrival Estimation With the Received Signal Strength Gradient

4. Dynamic Bit Allocation for Object Tracking in Wireless Sensor Networks

5. Optimal Identical Binary Quantizer Design for Distributed Estimation

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