Results 161 to 170 of about 854,084 (200)

Weak fault signal detection of rolling bearing

Proceedings 2011 International Conference on Transportation, Mechanical, and Electrical Engineering (TMEE), 2011
The characteristics of local singularity of vibration signal under the wavelet transform are studied, and quantitative analysis of the noise reduction features of wavelet transform methods is carried out. Based on that the modulus maxima of the local singularity of fault vibration signal and noise of rolling bearing under wavelet transform has ...
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Weak Signal Detection Based on Deep Learning

Proceedings of the 2019 4th International Conference on Multimedia Systems and Signal Processing, 2019
Weak signal detection of radio communication signals in complex background noise is an essential part of modern signal processing science. Despite wide application of classical process in various signal detection tasks, the exclusive filter in terms of background noise of radio channel impedes the deployment on modern complex electromagnetism ...
Tao Cheng, Chunhui Liu, Wenrui Ding
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Study on Weak Signal Detection Methods

2013
Weak signal detection technology refers to a technology which analyzes the noise’s production laws and researches the characteristics and correlation of signals with relevant electronics, physics, information, and computer knowledge and techniques, to detect the weak signals that are submerged by noises.
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Detection of weak signals by generalized detector

IEEE 1999 International Geoscience and Remote Sensing Symposium. IGARSS'99 (Cat. No.99CH36293), 2003
This paper is devoted to an experimental study of the generalized detector and comparison with the optimal detector of classical signal detection theory for solving problems of the detection of buried or camouflaged objects. Experimental investigations were carried out under the power signal-to-noise ratio 0.96 dB at the detector input. New features of
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Weak Signal Detection Based on Chaotic Prediction

2009 Second International Workshop on Knowledge Discovery and Data Mining, 2009
In this paper, a weak signal detection method based on radial basis function (RBF) neural networks is discussed. The principle of weak signal detection with a background noise predictor is that the predictor trained by chaotic time series has a small prediction error, and the prediction error becomes relative large when the input contains a source or ...
Junyang Pan, Jinyan Du, Shie Yang
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Data-Adaptive Detection of a Weak Signal

IEEE Transactions on Aerospace and Electronic Systems, 1983
Motivated by a form of the likelihood-ratio-tesf statistic for detection of a rank-one Gaussian signal in colored Gaussian noise, we apply our earlier technique for estimation of a low-rank signal to the problem of estimating and subtracting the waveform of a strong sinusoidal interference prior to detection of a weak sinusoidal signal. We consider the
Tufts, Donald W., Kirsteins, Ivars, Kumaresan, Ramdas   +2 more
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Review of Weak Signals Detection Methods

2023 IEEE 16th International Conference on Electronic Measurement & Instruments (ICEMI), 2023
Min Huang, Anhang Zhou, Li Wang, Yifan Wang, Gen Qiu   +4 more
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Detection of weak optical signals without photocounts

SPIE Proceedings, 2004
Detection of light is one of the most fundamental physical processes playing a very important role in both nature and technology. In nature, this process underlies vision, thus providing an opportunity to perceive the world around us. Numerous photodetectors in technology allow the quantification of the detection of optical signals, expanding the ...
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Periodical weak signal detection based on LabVIEW

2008 International Conference on Neural Networks and Signal Processing, 2008
In order to detecting the weak signal with a strong noise background successfully and to reducing the cost of hardware system, a new weak signal detection method based on software was investigated and verified in this paper. LabVIEW and C language were used to realize the weak signal de-noising.
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Weak Signal Detection Based on Duffing Oscillator

2008 International Conference on Information Management, Innovation Management and Industrial Engineering, 2008
The capability of conventional detection method such as power spectral density is limited while detecting periodic signals buried in the noise and deciding accurate frequency, the chaotic oscillator can increase the detection ability of weak periodic signals and improve frequency precision.
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