Interval Design for Signal Parameter Estimation From Quantized Data-Reference-Cited by-同舟云学术

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Interval Design for Signal Parameter Estimation From Quantized Data

Published:2022 Issue: Volume:70 Page:6011-6020
ISSN:1053-587X
Container-title:IEEE Transactions on Signal Processing
language:
Short-container-title:IEEE Trans. Signal Process.

Author:

Cheng Yuanbo¹^ORCID,Shang Xiaolei¹^ORCID,Li Jian²^ORCID,Stoica Petre³^ORCID

Affiliation:

1. Department of Electronic Engineering and Information Science, University of Science and Technology of China, Hefei, China

2. Department of Electrical and Computer Engineering, University of Florida, Gainesville, FL, USA

3. Department of Information Technology, Uppsala University, Uppsala, Sweden

Funder

Vetenskapsrådet

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Signal Processing

Link

http://xplorestaging.ieee.org/ielx7/78/9675017/09987702.pdf?arnumber=9987702

Reference48 articles.

1. Computationally Efficient Maximum Likelihood Channel Estimation for Coarsely Quantized Massive MIMO Systems

2. Score-Function Quantization for Distributed Estimation

3. The Cramér–Rao Bound for Signal Parameter Estimation From Quantized Data [Lecture Notes]

4. Optimal Asymmetric Binary Quantization for Estimation Under Symmetrically Distributed Noise

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