An Effective LFM Signal Reconstruction Method for Signal Denoising-Reference-Cited by-同舟云学术

An Effective LFM Signal Reconstruction Method for Signal Denoising

Published:2018-04-26 Issue:09 Volume:27 Page:1850140
ISSN:0218-1266
Container-title:Journal of Circuits, Systems and Computers
language:en
Short-container-title:J CIRCUIT SYST COMP

Author:

Luo Shan¹,Bi Guoan²,Wu Tong¹,Xiao Yong³,Lin Rongping⁴

Affiliation:

1. School of Aeronautics and Astronautics, University of Electronic Science and Technology of China, Chengdu, P. R. China

2. School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore

3. Department of Electrical and Computer Engineering, University of Arizona, Tucson, USA

4. School of Communication and Information Engineering, University of Electronic Science and Technology of China, Chengdu, P. R. China

Abstract

One of the main challenges in signal denoising is to accurately restore useful signals in low signal-to-noise ratio (SNR) scenarios. In this paper, we investigate the signal denoising problem for multi-component linear frequency modulated (LFM) signals. An effective time-frequency (TF) analysis-based approach is proposed. Compared to the existing approaches, our proposed one can further increase the noise suppressing performance and improve the quality of the reconstructed signal. Experimental results are presented to show that the proposed denoising approach is able to effectively separate the multi-component LFM signal from the strong noise environments.

Funder

National Natural Science Foundation of China

Scientific Research Foundation for the Returned Overseas Chinese Scholars, State Education Ministry

Publisher

World Scientific Pub Co Pte Lt

Subject

Electrical and Electronic Engineering,Hardware and Architecture,Electrical and Electronic Engineering,Hardware and Architecture

Link

https://www.worldscientific.com/doi/pdf/10.1142/S0218126618501402

Reference19 articles.

1. leID1. Time-frequency analysis: Theory and applications

2. TIME-FREQUENCY PROCESSING METHOD OF EPILEPTIC EEG SIGNALS

3. A De-noising Scheme Based on the Null Hypothesis of Intrinsic Mode Functions

4. Adaptive Time-Frequency Analysis for Noise Reduction in an Audio Filter Bank With Low Delay

Cited by 2 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. Experimental and Theoretical Analysis of Bispectrum Characteristics of Phase Coupled Signals;Journal of Circuits, Systems and Computers;2023-09-22

2. Renyi entropy and deep learning-based approach for accent classification;Multimedia Tools and Applications;2021-10-03