Acousto‐optic signal detection system

1986 ◽  
Vol 79 (2) ◽  
pp. 586-586
Author(s):  
Otis G. Zehl ◽  
Michael G. Price ◽  
Edward H. David ◽  
Jerome C. Kremen
Keyword(s):  
Signal Detection ◽  
Detection System

An Electrical Signal Detection System for a Microbiochip with Gold Nanoparticles

2006 ◽  
pp. 1371-1374
Author(s):  
Jae Jun Park ◽  
Dae Jin Kim ◽  
Byoung Woon Ahn ◽  
Seoung Hwan Lee ◽  
Yoo Min Ahn ◽  
...  
Keyword(s):  
Gold Nanoparticles ◽  
Signal Detection ◽  
Detection System ◽  
Electrical Signal

Research and Design on Fluorescence Signal Detection System

2012 ◽  
Vol 7 (21) ◽  
pp. 426-434
Author(s):  
Shi Lijuan ◽  
An Zhiyong ◽  
Wang Lirong ◽  
Zhao Jian
Keyword(s):  
Signal Detection ◽  
Detection System ◽  
Fluorescence Signal ◽  
Research And Design

Weak Signal Detection System Based on Lock-in Amplifier Technology

2013 ◽  
Vol 389 ◽  
pp. 489-493
Author(s):  
Yong Lv ◽  
Chun Hui Niu ◽  
Yue Qiang Li ◽  
Qing Shan Chen ◽  
Xiao Ying Li ◽  
...  
Keyword(s):  
Signal Detection ◽  
Detection System ◽  
Signal To Noise Ratio ◽  
Weak Signal ◽  
Weak Signal Detection ◽  
Pass Filter ◽  
Low Pass Filter ◽  
Low Pass ◽  
Phase Sensitive ◽  
Lock In

In order to detect the weak signal deeply buried in the noise, a weak signal detection system based on lock-in amplifier is proposed. The system includes the preamplifier circuit, active low pass filter circuit, AC amplifying circuit and phase sensitive demodulation circuit. Test results show that it can greatly increase the signal-to-noise ratio (SNR) up to 12.7db.

Multi-Sensor N-P Criterion Fusion Detection Based on Weighting by SNR

2014 ◽  
Vol 1044-1045 ◽  
pp. 818-824
Author(s):  
Bo Fan Yang ◽  
Rui Wang ◽  
Gang Wang ◽  
Li Zhao
Keyword(s):  
Signal Detection ◽  
False Alarm ◽  
Sensor Fusion ◽  
Detection Probability ◽  
Detection System ◽  
False Alarm Probability ◽  
Radar Target ◽  
Low Snr ◽  
Simulation Results ◽  
Fusion Detection

Aiming at signal detection of radar target, concerning about on the basis of the influence of SNR on detection probability when false alarm probability is given based on N-P criterion, a kind of multi-sensor fusion detection based on SNR is put forward. It can improve system’s detection probability under the condition of required false alarm probability in the detection of low SNR signal. The simulation results show that the detection performance is significantly increased, no matter fusion detection system is composed of same sensors working in the same working point or different sensors.

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