scholarly journals Advanced Signal Recognition Method for Path using FPGA

2017 ◽  
Vol 4 (3) ◽  
pp. 26-30
Author(s):  
Belly Ballot R ◽  
Anisley T ◽  
Addison N
Keyword(s):  
Signal Recognition ◽  
Recognition Method

Walking Intrusion Signal Recognition Method for Fiber Fence System

2009 ◽  
Author(s):  
Nian Fang ◽  
Lutang Wang ◽  
Dongjian Jia ◽  
Chao Shan ◽  
Zhaoming Huang
Keyword(s):  
Signal Recognition ◽  
Recognition Method

Optical fiber intrusion signal recognition method based on TSVD-SCN

2019 ◽  
Vol 48 ◽  
pp. 270-277 ◽  
Author(s):  
Zhiyong Sheng ◽  
Zhiqiang Zeng ◽  
Hongquan Qu ◽  
Yuan Zhang
Keyword(s):  
Optical Fiber ◽  
Signal Recognition ◽  
Recognition Method

A Novel Fiber Intrusion Signal Recognition Method for OFPS Based on SCN With Dropout

2019 ◽  
Vol 37 (20) ◽  
pp. 5221-5230 ◽  
Author(s):  
Wei Li ◽  
Zhiqiang Zeng ◽  
Hongquan Qu ◽  
Chengbin Sun
Keyword(s):  
Signal Recognition ◽  
Recognition Method

Walking intrusion signal recognition method for fiber fence system

2009 ◽  
Author(s):  
Nian Fang ◽  
Lutang Wang ◽  
Dongjian Jia ◽  
Chao Shan ◽  
Zhaoming Huang
Keyword(s):  
Signal Recognition ◽  
Recognition Method

Phased Array Radar Signal Recognition Method Based on Ant Colony Optimization and SVM

2012 ◽  
Vol 263-266 ◽  
pp. 2566-2569
Author(s):  
Jian Feng Pu ◽  
Jun Lin ◽  
Yan Zhi Li ◽  
Wei Quan
Keyword(s):  
Ant Colony Optimization ◽  
Phased Array ◽  
Separation Efficiency ◽  
Experimental Results ◽  
Ant Colony ◽  
Radar Signal ◽  
Access Time ◽  
Signal Recognition ◽  
Recognition Method ◽  
Phased Array Radar

In order to improve the efficiency for phased array radar's ESM, an ACO and SVM conjoint method is used in this paper to solve the problem of phased array radar signal recognition. By introducing ACO to supervise SVM parametric selection, the method is able to quickly discover seemly parameter value and improve SVM separation efficiency. Experimental results show that textual algorithm possess upper exactness rate to phased array radar that the whole pulse signals sorting can be identified. With normal-SVM and RST-SVM means to compare, the algorithm SVM parameter access time is short, thereby shorten the monolithic hour.

scholarly journals A Robust Signal Recognition Method for Communication System under Time-Varying SNR Environment

2013 ◽  
Vol E96.D (12) ◽  
pp. 2814-2819 ◽  
Author(s):  
Jing-Chao LI ◽  
Yi-Bing LI ◽  
Shouhei KIDERA ◽  
Tetsuo KIRIMOTO
Keyword(s):  
Communication System ◽  
Time Varying ◽  
Signal Recognition ◽  
Recognition Method
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