Sparsity Based Autoencoders for Denoising Cluttered Radar Signatures

Narrowband and broadband indoor radar images significantly deteriorate in the presence of target dependent and independent static and dynamic clutter arising from walls. A stacked and sparse denoising autoencoder (StackedSDAE) is proposed for mitigating wall clutter in indoor radar images. The algor...

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Vydané v:	arXiv.org
Hlavní autori:	Shobha Sundar Ram, Vishwakarma, Shelly, Akanksha Sneh, Kainat Yasmeen
Médium:	Paper
Jazyk:	English
Vydavateľské údaje:	Ithaca Cornell University Library, arXiv.org 29.01.2021
Predmet:	Algorithms Broadband Clutter Image enhancement Narrowband Noise reduction Radar imaging Radar signatures Signal to noise ratio Sparsity Spectrograms Training
ISSN:	2331-8422
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