An Acoustic Source Localization and Tracking Framework Using Particle Filtering and Information Theory
Author:
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Acoustics and Ultrasonics
Link
http://xplorestaging.ieee.org/ielx5/10376/5547554/05547560.pdf?arnumber=5547560
Cited by 15 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. Distributed Acoustic Source Tracking in Noisy and Reverberant Environments With Distributed Microphone Networks;IEEE Access;2020
2. Multi-Hypothesis Square-Root Cubature Kalman Particle Filter for Speaker Tracking in Noisy and Reverberant Environments;IEEE/ACM Transactions on Audio, Speech, and Language Processing;2020
3. Speaker Tracking Based on Distributed Particle Filter and Iterative Covariance Intersection in Distributed Microphone Networks;IEEE Journal of Selected Topics in Signal Processing;2019-03
4. Speech Source Tracking Based on Distributed Particle Filter in Reverberant Environments;Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering;2019
5. A new optimization particle filtering navigation location method for aquatic plants cleaning workboat in crab farming;INT J ADV ROBOT SYST;2018
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