Convolutional Neural Network Classification using Three Cepstrums Combinations with Time, Time Derivative and Reassigned STFT of Doppler Signatures from Radar Human Locomotion
This paper introduces the CTDRCepstrum, a novel feature extraction technique designed to differentiate various human activities using Doppler radar classification. Real data were collected from a Doppler radar system, capturing nine return echoes while monitoring three distinct human activities: wal...
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Main Author: | Dalila Yessad |
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Format: | Article |
Language: | English |
Published: |
Iran University of Science and Technology
2024-11-01
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Series: | Iranian Journal of Electrical and Electronic Engineering |
Subjects: | |
Online Access: | http://ijeee.iust.ac.ir/article-1-3509-en.pdf |
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