Bandwidth -Constrained Real- Time Monitoring of Brownian Motions With Riemann and Lebesgue Sampling
Author:
Affiliation:
1. Tsinghua University,Department of Electronic Engineering,Beijing,CHINA,10084
Funder
National Natural Science Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10436708/10436716/10437946.pdf?arnumber=10437946
Reference11 articles.
1. Real Time Monitoring of Brownian Motions
2. SOI-KF: Distributed Kalman Filtering With Low-Cost Communications Using the Sign of Innovations
3. Decentralized Quantized Kalman Filtering With Scalable Communication Cost
4. Uncoded Transmission Is Exactly Optimal for a Simple Gaussian “Sensor” Network
5. Linear Coherent Decentralized Estimation
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