Ground Penetrating Radar Microwave Denoising Based on Improved K-SVD Dictionary Learning Method-Reference-Cited by-同舟云学术

Ground Penetrating Radar Microwave Denoising Based on Improved K-SVD Dictionary Learning Method

Published:2022-08-12 Issue: Volume: Page:
ISSN:
Container-title:2022 International Conference on Microwave and Millimeter Wave Technology (ICMMT)
language:
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Author:

Li Siqi¹,Tang Chunrui²,Li YiBing¹,Ye Fang¹

Affiliation:

1. Ministry of Industry and Information, College of Information and Communication Engineering, Harbin Engineering University,Key Laboratory of Advanced Marine Communication and Information Technology,Harbin,China,150001

2. Air Force Communication NCO.Academy,Dalian,China,116000

Funder

Fundamental Research Funds for the Central Universities

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10022051/10022057/10022934.pdf?arnumber=10022934

Reference6 articles.

1. An improved general-ized orthogonal matching pursuit method used in the direction of arrival estimation[J];hongyang;Applied Science and Technology,2020

2. The Noise Attenuation and Stochastic Clutter Removal of Ground Penetrating Radar Based on the K-SVD Dictionary Learning

3. Application of K-SVD and OMP algorithm on ultrasonic signal denoising[J];dong;Applied Acoustics,2016

4. L1 norm constrained migration of blended data with the FISTA algorithm

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