Results 231 to 240 of about 1,098 (282)

Spaceborne synthetic aperture passive imaging technology for wide-area electromagnetic spectrum map generation. [PDF]

iScience
Hou S, Fan Y, Wang Y, Chen W, Fang S.
europepmc   +1 more source

Roadmap towards personalized approaches and safety considerations in non-ionizing radiation: from dosimetry to therapeutic and diagnostic applications. [PDF]

Phys Med Biol
Laakso I, Paulides MM, Kodera S, Ahn S, Brace CL, Cavagnaro M, Chen J, Deng ZD, De Santis V, Diao Y, Farrugia L, Feliziani M, Fiocchi S, Fioranelli F, Hikage T, Makaroff S, Mizuno M, Opitz A, Pickwell-MacPherson E, Prakash P, Rodrigues DB, Sasaki K, Sakamoto T, Taylor Z, Visser HJ, Yeo DTB, Hirata A.   +26 more
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CV-EEGNet: A Compact Complex-Valued Convolutional Network for End-to-End EEG-Based Emotion Recognition. [PDF]

Sensors (Basel)
Wang W, Yang D, Yang Y, Xie Y, Liu X, Yu Y, Shi K.   +6 more
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Radiative Cooling Materials for Extreme Environmental Applications. [PDF]

Nanomicro Lett
Xu J, Xie W, Han H, Xiao C, Li J, Zhang Y, Chen S, Zhao B, Zhang D, Zhou H.   +9 more
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An Evaluation Method on Radar Emitter Signal Recognition Effect Based on SVM

2018 5th International Conference on Systems and Informatics (ICSAI), 2018
Radar emitter signal recognition is a key technology in electronic countermeasures and information processing. It is an essential part of scientific evaluation of its recognition effect. Aiming at the shortcomings that the evaluation index on the current radar emitter recognition effect is single, this paper constructs the mean and variance evaluation ...
Jun Han, Xiaojie Tang, Zhikai Tang, Juan Du   +3 more
exaly   +2 more sources

Radar Emitter Signal Recognition Based on Sample Entropy and Fuzzy Entropy

Lecture Notes in Computer Science, 2012
Aiming at the problems of the radar emitter signal (RES) recognition based on intra-pulse feature, a novel entropy feature extraction approach is proposed. In this method the sample entropy (SampEn) and fuzzy entropy (FzzyEn) are presented to extract features from RES.
Shiqiang Wang, Duyan Bi
exaly   +2 more sources

Radar Emitter Signal Fractal Feature Based on Wavelet Transform

2006 CIE International Conference on Radar, 2006
Fractal feature can describe the complexity of radar emitter signal. Wavelet transform cannot only observe signal general framework and detail, but also reduce influence of noise. Hence wavelet transform can combine with the fractal theory to study the fractal feature of radar emitter signal.
Ye Fei, Luo Jingqing, Lv Jiuming
exaly   +2 more sources

A new recognition system for radar emitter signals

Kybernetes, 2012
PurposeThe purpose of this paper is to develop a new recognition system for identifying advanced radar emitter signals (RES).Design/methodology/approachInitially, the framework of the new recognition system is outlined. Then, feature extraction using resemblance coefficient and wavelet packet decomposition, and feature selection based on quantum ...
Gexiang Zhang, Xu Li
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Radar Emitter Signal Detection with Convolutional Neural Network

2019 IEEE 11th International Conference on Advanced Infocomm Technology (ICAIT), 2019
In this paper, we propose a deep convolutional neural network (CNN) based automatic detection algorithm for recognizing radar emitter signals. The algorithm leverages on the structure estimation power of deep CNN and the capability of time-frequency image processing for radio signal representation.
Zhenrong Liu, Yankun Shi, Yuan Zeng 0001, Yi Gong 0001   +3 more
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