Denoising of Radar Pulse Streams With Autoencoders

There are many cases in which the noise corrupts the signals in a significant manner. To better analyze these signals, the noise must be removed from the signals for further data analysis, and the process of noise removal is referred to as denoising. In this letter, we propose a novel approach to th...

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Veröffentlicht in:	IEEE communications letters Jg. 24; H. 4; S. 797 - 801
Hauptverfasser:	Li, Xueqiong, Liu, Zhang-Meng, Huang, Zhitao
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.04.2020 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Artificial neural networks autoencoders binary coding Computer simulation Data analysis Decoding Denoising Feature extraction Noise Noise reduction Pulse repetition interval pulse streams Radar Signal denoising Signal processing Switches Task analysis TOA sequences Training
ISSN:	1089-7798, 1558-2558
Online-Zugang:	Volltext
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