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Pearson–Anson effect

Known as: Neon lamp oscillator, Pearson-Anson effect, Pearson-Anson oscillator 
The Pearson–Anson effect, discovered in 1922 by Stephen Oswald Pearson and Horatio Saint George Anson, is the phenomenon of an oscillating electric… Expand
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Related topics

Related topics

8 relations
555 timer ICCathode ray tubeChaos theoryHysteresis
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Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2019
2019
Weak Signal Detection Using Stochastic Resonance with Approximated Fractional Integrator
In this paper, a new technique for weak signal detection using stochastic resonance (SR) with approximated fractional integrator… Expand
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2018
2018
An Image Watermarking Algorithm Based on Energy Scheme in the Wavelet Transform Domain
  • Jinhua Liu
  • IEEE 3rd International Conference on Image…
  • 2018
With the increasing demands of copyright protection, digital watermarking has been paid more and more attention. In the design of… Expand
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2013
2013
Radar detection with the Neyman–Pearson criterion using supervised-learning-machines trained with the cross-entropy error
The application of supervised learning machines trained to minimize the Cross-Entropy error to radar detection is explored in… Expand
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2009
2009
Spectrum Sensing of OFDMA Systems for Cognitive Radio Networks
To fully exploit wireless radio resource and, thus, increase spectrum efficiency, cognitive radios shall sense wireless… Expand
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Highly Cited
2009
Highly Cited
2009
Statistical NLOS Identification Based on AOA, TOA, and Signal Strength
Nonline-of-sight (NLOS) propagation is one of the challenges in radio positioning. Significant attention has been drawn to the… Expand
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Highly Cited
2008
Highly Cited
2008
Radar Detection and Classification of Jamming Signals Belonging to a Cone Class
This paper considers the problem of detecting and classifying a radar target signal and a jamming signal produced by a deception… Expand
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2008
2008
Decision fusion in sensor networks for spectrum sensing based on likelihood ratio tests
Sensor networks have been shown to be useful in diverse applications. One of the important applications is the collaborative… Expand
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Highly Cited
2005
Highly Cited
2005
A Neyman-Pearson approach to statistical learning
The Neyman-Pearson (NP) approach to hypothesis testing is useful in situations where different types of error have different… Expand
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Highly Cited
2005
Highly Cited
2005
Further Results on the Optimality of the Likelihood-Ratio Test for Local Sensor Decision Rules in the Presence of Nonideal Channels
In this paper, we consider the design of local decision rules for distributed detection systems where decisions from peripheral… Expand
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Highly Cited
2001
Highly Cited
2001
Representing Epistemic Uncertainty by Means of Dialectical Argumentation
We articulate a dialectical argumentation framework for qualitative representation of epistemic uncertainty in scientific domains… Expand
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