Conditional Mean Estimation in Gaussian Noise: A Meta Derivative Identity With Applications-Reference-Cited by-同舟云学术

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Conditional Mean Estimation in Gaussian Noise: A Meta Derivative Identity With Applications

Published:2023-03 Issue:3 Volume:69 Page:1883-1898
ISSN:0018-9448
Container-title:IEEE Transactions on Information Theory
language:
Short-container-title:IEEE Trans. Inform. Theory

Author:

Dytso Alex¹^ORCID,Poor H. Vincent²^ORCID,Shamai Shitz Shlomo³^ORCID

Affiliation:

1. Department of Electrical and Computer Engineering, New Jersey Institute of Technology, Newark, NJ, USA

2. Department of Electrical Engineering, Princeton University, Princeton, NJ, USA

3. Department of Electrical Engineering, Technion—Israel Institute of Technology, Haifa, Israel

Funder

U.S. National Science Foundation

United States–Israel Binational Science Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Library and Information Sciences,Computer Science Applications,Information Systems

Link

https://ieeexplore.ieee.org/ielam/18/10046300/9925240-aam.pdf

Reference35 articles.

1. Some geometric properties of the likelihood ratio (Corresp.)

2. Mutual Information and Minimum Mean-Square Error in Gaussian Channels

3. On regret of parametric mismatch in minimum mean square error estimation

4. Optimal Detection of Sparse Mixtures Against a Given Null Distribution

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Weighted information entropy‐based Kalman filter for outliers and structural noise;Asian Journal of Control;2024-05-07

2. Meta Derivative Identity for the Conditional Expectation;IEEE Transactions on Information Theory;2023-07

3. L¹ Estimation in Gaussian Noise: On the Optimality of Linear Estimators;2023 IEEE International Symposium on Information Theory (ISIT);2023-06-25

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