Results 41 to 50 of about 5,760,846 (200)
What is the signal in signal detection? [PDF]
Perception & Psychophysics, 1974 This study concerns the nature of the stimulus represented along the decision axis in the yes/no auditory detection task. Two contrasting interpretations, absolute and difference representation of the stimulus, are tested by raising the carrier tone embedded within the background "noise" to the level of the signal, on occasional "catch" trials. Results
Ryder P., Pike R., Dalgleish L.
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Signal detection with spectrum windows
Heliyon, 2022 Spectrum sensing is needed in frequency agile cognitive radio systems, cognitive radar systems as well as in (cognitive) electronic warfare systems. This paper studies window based detectors where window shapes can be matched for the expected spectrum.
Saarnisaari Harri, Vartiainen Johanna
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The fault detection and severity diagnosis of rolling element bearings using modulation signal bispectrum [PDF]
The rolling element bearing is a key part in many mechanical equipment. The accurate and timely diagnosis of its faults is critcal for predictive maintenance. Vibration signals from a defective bearing with a localized fault contain a series of impulsive
Gu, Fengshou +3 more
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Relay-Assisted Technology in Optical Wireless Communications: A Survey
IEEE Access, 2020 When the distance between the source and the target is long, the signal will be affected by atmospheric turbulence, weather conditions and obstacles, which cannot support the information transmission.
Wenwen Liu +4 more
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Physiological signal-based drowsiness detection using machine learning: Singular and hybrid signal approaches [PDF]
, 2022 Introduction: Drowsiness is one of the main contributors to road-related crashes and fatalities worldwide. To address this pressing global issue, researchers are continuing to develop driver drowsiness detection systems which utilise a variety of ...
Watling, Christopher N. +2 more
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EntropyImage stitching aims to synthesize a wider and more informative whole image, which has been widely used in various fields. This study focuses on improving the accuracy of image mosaic and proposes an image mosaic method based on local edge contour ...
Shaokang Ma +4 more
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Adaptive detection of distributed targets in compound-Gaussian noise without secondary data: A Bayesian approach [PDF]
, 2011 In this paper, we deal with the problem of adaptive detection of distributed targets embedded in colored noise modeled in terms of a compound-Gaussian process and without assuming that a set of secondary data is available.The covariance matrices of the ...
Bandiera, Francesco +6 more
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Attention and Signal Detection [PDF]
Information, 2019 In this paper, I first review signal detection theory (SDT) approaches to perception, and then discuss why it is thought that SDT theory implies that increasing attention improves performance. Our experiments have shown, however, that this is not necessarily true.
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Research on the perception method of tiny objects in low-light and wide-field video
Scientific ReportsAt present, many trackers exhibit commendable performance in well-illuminated scenarios but overlook target tracking in low-light environments. As night falls, the tracker's accuracy drops dramatically. Challenges such as high image resolution, intricate
Zhaodong Xie +3 more
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Adaptive processing with signal contaminated training samples [PDF]
, 2013 We consider the adaptive beamforming or adaptive detection problem in the case of signal contaminated training samples, i.e., when the latter may contain a signal-like component.
Bidon, Stéphanie +3 more
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