A Walkthrough to Airborne Acoustic Source’s Hidden Patterns in Lower and Higher Dimensional Space
Author:
Affiliation:
1. Academy of Scientific and Innovative Research (AcSIR),Ghaziabad,India,201002
2. CSIR-Central Scientific Instruments Organisation,iSenS Lab,Chandigarh,India,160030
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10666970/10667654/10668176.pdf?arnumber=10668176
Reference8 articles.
1. Regulators seek ways to down rogue drones: Growing antidrone industry offers radar, remote ID, and other tools - [News]
2. A CFAR-Enhanced Spectral Whitening Method for Acoustic Sensing via UAVs
3. Multi-feature optimization strategies for target classification using seismic and acoustic signatures
4. On the Detection of Unauthorized Drones—Techniques and Future Perspectives: A Review
5. Investigations on One Dimensional and Two Dimensional Enhanced Spectro-Temporal Feature Based Deep Learning Framework for Airborne Acoustic Source Classification
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