Results 151 to 160 of about 854,084 (200)

Detection of weak signals in memory thermal baths

Physical Review E, 2014
The 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, R M, Velasco, M, Romero-Bastida   +2 more
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Design of detecting metal signal weak change detection circuit

2011 International Conference on Electric Information and Control Engineering, 2011
In 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, 2015
Robust 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, null Ming-Yu Song, Xin Guo, Feng-Xiang Ge   +3 more
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On Weak Signal Detection With Compressive Measurements

IEEE Signal Processing Letters, 2018
The 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), 2009
In 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, null Cao Zhiyu, null Yan Xiaopeng, null Li Ping   +3 more
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Asymptotically stable detection of a weak signal

International Journal of Adaptive Control and Signal Processing, 2013
SUMMARYTo 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, Shin, Vladimir, Lee, Seokhyoung, Kim, Kiseon   +3 more
openaire   +1 more source

Weak Signal Detection Based on WT-LSTM

2020 IEEE 3rd International Conference on Electronic Information and Communication Technology (ICEICT), 2020
In wireless communication, when the power of received signal is much weaker than the power of noise, signal detection will be very difficult. For the problem of weak signal detection, a new method is proposed in this paper, which combines the two nonlinear methods of Wavelet Transform (WT) and Long Short-Term Memory (LSTM) neural networks together ...
Chunyan Wei, Lin Qi
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A difference resonator for detecting weak signals

Measurement, 1999
Abstract In order to catch the symptoms of machine failures as early and accurately as possible, this paper recommends and first applies a linear difference resonator in the form of x k+1 =ax k +by k , y k+1 =cx k +dy k to detect the characteristic frequency component contained in weak signals.
Liangsheng Qu, Jing Lin
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Comparative Study on Weak Signal Detection Algorithms

2010 International Conference on E-Business and E-Government, 2010
To make the high performance weak signal detection algorithms further applying in the fields of synchronization, channel estimation, equalization for high-data-rate broadband mobile communication systems, algorithms of single-layer autocorrelation, multi-layer autocorrelation, discrete wavelet transform are comparatively studied for the application in ...
Zi-Wei Zheng, Fan Zhang
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Detecting weak sinusoidal signal by LMP test

Sensor Array and Multichannel Signal Processing Workshop Proceedings, 2002, 2003
A simple CFAR detector is proposed in this paper for detecting complex sinusoidal signals with unknown parameters in complex Gaussian noise with unknown variance. The detector is based on the locally most powerful test (LMP), which performance approaches the uniformly most powerful test (UMP) when the signal-to-noise ratio (SNR) approaches zero. It can
null Qing Wang, null Guowei Shi, null Chunru Wan   +2 more
openaire   +1 more source