{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T05:37:41Z","timestamp":1740116261507,"version":"3.37.3"},"reference-count":19,"publisher":"World Scientific Pub Co Pte Ltd","issue":"09","funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61701079"],"award-info":[{"award-number":["61701079"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61401070"],"award-info":[{"award-number":["61401070"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Scientific Research Foundation for the Returned Overseas Chinese Scholars, State Education Ministry","award":["[2015] 1098"],"award-info":[{"award-number":["[2015] 1098"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["J CIRCUIT SYST COMP"],"published-print":{"date-parts":[[2018,8]]},"abstract":"<jats:p> 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. <\/jats:p>","DOI":"10.1142\/s0218126618501402","type":"journal-article","created":{"date-parts":[[2017,12,7]],"date-time":"2017-12-07T23:01:51Z","timestamp":1512687711000},"page":"1850140","source":"Crossref","is-referenced-by-count":3,"title":["An Effective LFM Signal Reconstruction Method for Signal Denoising"],"prefix":"10.1142","volume":"27","author":[{"given":"Shan","family":"Luo","sequence":"first","affiliation":[{"name":"School of Aeronautics and Astronautics, University of Electronic Science and Technology of China, Chengdu, P. R. 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