Results 241 to 250 of about 861,138 (294)

Detection of Weak Light Signals*

Journal of the Optical Society of America, 1970
The experimental signal-to-noise ratios (S/N) of four photomultiplier light-detection systems are obtained for two values of the dc anode signal and dc anode dark current. The photodetection systems investigated are dc amplifier, lock-in, noise power, and combined lock-in plus noise power.
Richard J. Anderson, J. Cleary
openaire   +1 more source

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 0004, Wenrui Ding
openaire   +1 more source

Spectrum opportunity detection with weak and correlated signals

2012 Conference Record of the Forty Sixth Asilomar Conference on Signals, Systems and Computers (ASILOMAR), 2012
We present a novel score detector for temporal spectrum opportunity detection in cognitive radio by exploiting the differences in both energy and correlation of the empty band and the occupied band. Motivated by the challenge of detecting a weak primary user's signal without precise knowledge of the signal, where the conventional energy detector faces ...
Yao Xie, David Siegmund
openaire   +1 more source

Research on detection and location of weak edge signals

Signal, Image and Video Processing, 2020
In order to be able to control the growth rate of industrial polycrystalline silicon rods well and reduce energy consumption, it is necessary to accurately locate the boundaries of the silicon rods and measure the diameter of the silicon rod during growth.
Zhou Xiuyun, Cao Xiaohan, Zhou Ting, Liu Zhen   +3 more
openaire   +1 more source

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
openaire   +1 more source

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
openaire   +2 more sources

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
openaire   +1 more source

Chaotic Circuit and Its Application in Weak Signal Detection

International Journal of Bifurcation and Chaos, 2022
In this work, we design a novel 3D chaotic circuit model and investigate the dynamics of a system without an equilibrium point inspired by Justin’s model. New features are presented by tuning the controlling circuit parameters, including dramatic hysteresis loops, heart bistable hidden attractors, and symmetrical attractors.
Xuemei Xu, Xiao Wang, Jun Wen
openaire   +2 more sources

Detection of weak signals in non-Gaussian noise

IEEE Transactions on Information Theory, 1981
A locally optimum detector structure is derived for the detection of weak signals in non-Gaussian environments. Optimum performance is obtained by employing a zero-memory nonlinearity prior to the matched filter that would be optimum for detecting the signal were the noise Gaussian.
Ning Hsing Lu, Bruce A. Eisenstein
openaire   +2 more sources

Nonlinear squeezing transform for weak signal detection

2014 IEEE China Summit & International Conference on Signal and Information Processing (ChinaSIP), 2014
We introduce a novel algorithm, called nonlinear squeezing transform, to characterize the time-frequency pattern of nonstationary multi-component signals, especially for weak component detection. As a generally known, conventional time-frequency analysis (TFA) methods can characterize the time-frequency pattern of nonstationary signal.
Shibin Wang, Xuefeng Chen 0002, Yan Wang, Baoqing Ding   +3 more
openaire   +1 more source