Artificial neural network classification of foliage targets from spectrograms of sequential echoes using a biomimetic audible sonar
Author:
Affiliation:
1. Department of Electrical Engineering, Yale University, New Haven, Connecticut 06511, USA
Publisher
Acoustical Society of America (ASA)
Subject
Acoustics and Ultrasonics,Arts and Humanities (miscellaneous)
Link
https://asa.scitation.org/doi/pdf/10.1121/10.0002651
Cited by 5 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. Brain-inspired sensorimotor echolocation system for confident landmark recognition;The Journal of the Acoustical Society of America;2022-09
2. Bioinspired solution to finding passageways in foliage with sonar;Bioinspiration & Biomimetics;2021-11-01
3. Introduction to the special issue on machine learning in acoustics;The Journal of the Acoustical Society of America;2021-10
4. Brain-Based Classification of Landmarks using Audible Sonar Echo Sequences;2021 11th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS);2021-09-22
5. Biomimetic detection of dynamic signatures in foliage echoes;Bioinspiration & Biomimetics;2021-06-25
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