Results 291 to 300 of about 860,460 (345)
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Weak signal detection using suboptimum quantization
[1991] IEEE Pacific Rim Conference on Communications, Computers and Signal Processing Conference Proceedings, 2002A suboptimum quantization-detection system in which the locally optimum nonlinearity is replaced by a uniform quantizer and a coder for the uniform quantizer output levels is proposed. The proposed detection system does not require iterations to obtain the parameters of the quantizer and is easily implementable in practice.
null Taek Sang Oh +2 more
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Applied Stochastic Models in Business and Industry, 2019
AbstractChanges in the behavior of dynamic systems are detected based on changes in the monitored quantities or their characteristics. This detection usually takes place by monitoring the time evolution of a variable and detecting the change at the time when a predetermined threshold is exceeded.
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AbstractChanges in the behavior of dynamic systems are detected based on changes in the monitored quantities or their characteristics. This detection usually takes place by monitoring the time evolution of a variable and detecting the change at the time when a predetermined threshold is exceeded.
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Methods for Detecting Weak Light Signals
Journal of the Optical Society of America, 1968Theoretical and experimental evaluation of three low-level photodetection techniques, namely, lock-in, noise-voltage, and electron-pulse counting are presented. The 992 cm−1 Raman band of benzene excited by a 4.2-mW He–Ne laser operating at 6328 A provided a weak light signal which was detected by an EMI 9558 A, cooled photomultiplier.
R. R. Alfano, N. Ockman
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Weak signal detection: Condition for noise induced enhancement
Digital Signal Processing, 2013For the detection of a weak known signal in additive white noise, a generalized correlation detector is considered. In the case of a large number of measurements, an asymptotic efficacy is analytically computed as a general measure of detection performance.
Duan, F. +2 more
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Detection of weak signals in memory thermal baths
Physical Review E, 2014The nonlinear relaxation time and the statistics of the first passage time distribution in connection with the quasideterministic approach are used to detect weak signals in the decay process of the unstable state of a Brownian particle embedded in memory thermal baths.
J I, Jiménez-Aquino +2 more
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Design of detecting metal signal weak change detection circuit
2011 International Conference on Electric Information and Control Engineering, 2011In this paper, AD637 Root Mean Square (RMS) chip is used to convert the induced voltage signal in the coil into DC signals. A differential amplifier is used to convert the fast DC signal into a pulse signal with the difference time of capacitor charging and discharging. Then amplifying again and a window comparator was used to process the signal into a
null Xiao Ming, null Ge Liangquan
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Robust weak signal detection and bearing estimation
OCEANS 2015 - MTS/IEEE Washington, 2015Robust weak signal detection is quite a difficult problem in the presence of interferences and noise. Generally, adaptive beamforming is an efficient way of interference suppression. However, conventional adaptive beamforming, e.g. MVDR may degrade significantly due to mismatch in the practical applications.
Feng Xiao +3 more
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On Weak Signal Detection With Compressive Measurements
IEEE Signal Processing Letters, 2018The problem of weak signal detection in Gaussian noise is addressed in the Neyman–Pearson framework with compressive measurements. A locally optimum detector is first devised assuming that the signal is nonsparse by approximating the test statistic around zero using a Taylor series, which is a good estimate only in a small radius around zero.
K. G. Nagananda, Pramod K. Varshney
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A combined method of weak signal detection
2009 Asia-Pacific Conference on Computational Intelligence and Industrial Applications (PACIIA), 2009In this paper, we present a new method based on the theory of chaotic oscillator and wavelet transform. Chaotic systems are sensitive to certain signals and immune to noise at the same time, the properties of which demonstrate their potential application in weak signal frequency detection.
null Lv Huiying +3 more
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Asymptotically stable detection of a weak signal
International Journal of Adaptive Control and Signal Processing, 2013SUMMARYTo design highly efficient and robust detectors of a weak signal, an asymptotic approach to stable estimation exploiting redescending score functions is used. Two new indicators of robustness of detection, the detection error sensitivity and detection stability, are introduced.
Shevlyakov, Georgy +3 more
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