Study on the Signal Detection Algorithm of Weak Laser Radar Target Based on Wavelet Transform

Author(s):  
Jianhua Sun ◽  
Pen Ma ◽  
Ning Zheng ◽  
Jinfa Shi
2004 ◽  
Vol 50 (5) ◽  
pp. 353-360 ◽  
Author(s):  
S J Thiruvengadam ◽  
P Chinnadurai ◽  
M Thirumalai Kumar ◽  
V Abhaikumar

1981 ◽  
Vol 71 (4) ◽  
pp. 1351-1360
Author(s):  
Tom Goforth ◽  
Eugene Herrin

abstract An automatic seismic signal detection algorithm based on the Walsh transform has been developed for short-period data sampled at 20 samples/sec. Since the amplitude of Walsh function is either +1 or −1, the Walsh transform can be accomplished in a computer with a series of shifts and fixed-point additions. The savings in computation time makes it possible to compute the Walsh transform and to perform prewhitening and band-pass filtering in the Walsh domain with a microcomputer for use in real-time signal detection. The algorithm was initially programmed in FORTRAN on a Raytheon Data Systems 500 minicomputer. Tests utilizing seismic data recorded in Dallas, Albuquerque, and Norway indicate that the algorithm has a detection capability comparable to a human analyst. Programming of the detection algorithm in machine language on a Z80 microprocessor-based computer has been accomplished; run time on the microcomputer is approximately 110 real time. The detection capability of the Z80 version of the algorithm is not degraded relative to the FORTRAN version.


1983 ◽  
Author(s):  
David M. Papurt ◽  
Jeffrey H. Shapiro ◽  
Sun T. Lau
Keyword(s):  

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