scholarly journals REINFORCER CONTROL AND HUMAN SIGNAL-DETECTION PERFORMANCE

2000 ◽  
Vol 73 (3) ◽  
pp. 275-290 ◽  
Author(s):  
Victoria Johnstone ◽  
Brent Alsop
Keyword(s):  
Signal Detection ◽  
Detection Performance ◽  
Human Signal

Human Signal Detection Performance For Noisy Medical Images

1982 ◽  
Author(s):  
A. E. Burgess ◽  
R. F. Wagner ◽  
R. J. Jennings
Keyword(s):  
Signal Detection ◽  
Medical Images ◽  
Detection Performance ◽  
Human Signal

Human Signal-Detection Performance in Multiscreen Monitoring Tasks

2009 ◽  
Vol 109 (2) ◽  
pp. 546-550 ◽  
Author(s):  
Chiuhsiang Joe Lin ◽  
Hsiao-Ching Chang ◽  
Hung-Jen Chen ◽  
Chih-Wei Yang
Keyword(s):  
Signal Detection ◽  
Detection Performance ◽  
Human Signal

STOCHASTIC RESONANCE IN SATURATION NONLINEARITIES BASED ON SIGNAL DETECTION

2008 ◽  
Vol 08 (02) ◽  
pp. L229-L235 ◽  
Author(s):  
LEI ZHANG ◽  
JUN HE ◽  
AIGUO SONG
Keyword(s):  
Signal Detection ◽  
White Noise ◽  
Stochastic Resonance ◽  
Gaussian White Noise ◽  
Detection Performance ◽  
Sinusoidal Signal ◽  
Signal Noise ◽  
Noise Ratio

Recently, it was reported that some saturation nonlinearities could effectively act as noise-aided signal-noise-ratio amplifiers. In the letter we consider the signal detection performance of saturation nonlinearities driven by a sinusoidal signal buried in Gaussian white noise. It is showed that the signal detection statistics still undergo a nonmonotonic evolution as noise is raised. We also particularly show that an improvement of the SNR in terms of the first harmonic does not imply the possibility to improve the signal detection performance through stochastic resonance. The study might also complement other reports about stochastic resonance in saturation nonlinearities.

scholarly journals Suggestibility and signal detection performance in hallucination-prone students

2017 ◽  
Vol 22 (2) ◽  
pp. 159-174 ◽  
Author(s):  
Fatimah Alganami ◽  
Filippo Varese ◽  
Graham F. Wagstaff ◽  
Richard P. Bentall
Keyword(s):  
Signal Detection ◽  
Detection Performance

Study of BLAST Signal Detection Algorithm in LTE System

2013 ◽  
Vol 756-759 ◽  
pp. 3183-3188
Author(s):  
Tao Lei ◽  
Deng Ping He ◽  
Fang Tang Chen
Keyword(s):  
Signal Detection ◽  
High Speed ◽  
Data Communication ◽  
Detection Algorithm ◽  
Detection Performance ◽  
Detection Algorithms ◽  
High Speed Data ◽  
Simulation Results ◽  
Better Than

BLAST can achieve high speed data communication. Its signal detection directly affects performance of BLAST receiver. This paper introduced several signal detection algorithmsZF algorithm, MMSE algorithm, ZF-SIC algorithm and MMSE-SIC algorithm. The simulation results show that the traditional ZF algorithm has the worst performance, the traditional MMSE algorithm and the ZF-SIC algorithm is similar, but with the increase of the SNR, the performance of ZF-SIC algorithm is better than MMSE algorithm. MMSE-SIC algorithm has the best detection performance in these detection algorithms.

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