Results 1 to 10 of about 195,242 (267)
Efficient Deep Wavelet Gaussian Markov Dempster–Shafer Network-Based Spectrum Sensing at Very Low SNR in Cognitive Radio Networks [PDF]
SensorsCognitive radio networks (CRNs) rely heavily on spectral sensing to detect primary user (PU) activity, yet detection at low signal-to-noise ratios (SNRs) remains a major challenge.
Sunil Jatti, Anshul Tyagi
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Adaptive Filtering Method of MFL Signal on Rail Top Surface Defect Detection
IEEE Access, 2021 Magnetic flux leakage (MFL) detection technology provides an effective method to conduct high-speed detection of the damage suffered by rail surface.
Kailun Ji +4 more
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Adaptive Signal Detection with Finite Memory [PDF]
IEEE Transactions on Systems, Man, and Cybernetics, 1971 In the Bayesian approach to signal-detection theory, infinite soft or changeable memory is tacitly assumed. Since an infinite memory is physically unrealizable, this study is concerned with formulating and optimizing a finite memory applicable to a large class of signal-detection problems. An optimum finite memory design is presented, assuming a priori
Baxa, Ernest G. jun., Nolte, Loren W.
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Detecting multiple replicating signals using adaptive filtering procedures
The Annals of Statistics, 2022 Replicability is a fundamental quality of scientific discoveries: we are interested in those signals that are detectable in different laboratories, study populations, across time etc. Unlike meta-analysis which accounts for experimental variability but does not guarantee replicability, testing a partial conjunction (PC) null aims specifically to ...
Wang, Jingshu +4 more
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Automatic Expansion of Voltage Signals Using Empirical Mode Decomposition for Voltage Sag Detection
IEEE Access, 2022 Voltage sag is one of the most harmful power quality issues. In practical engineering, harmonic and noise interference problems will bring big challenges to the analysis of voltage signals.
Heyang Li, Chao Meng, Yingru Zhao
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IEEE Access, 2020 In zinc hydrometallurgy, the traditional multi-metal ion detection method is manual off-line detection, which is cumbersome and has a long detection period.
Fengbo Zhou +4 more
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Sensors, 2022 The key point on analyzing the data stream measured by fiber optic distributed acoustic sensing (DAS) is signal activity detection separating measured signals from environmental noise.
Lilong Ma +5 more
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Speech Endpoint Detection Algorithm Based on MFCC Distance in Complex Noise [PDF]
Jisuanji gongcheng, 2020 To improve the accuracy of speech signal endpoint detection under complex noise environment,this paper proposes a multidimensional feature speech signal endpoint detection algorithm based on MFCC distance.By calculating the MFCC distance of the speech ...
HAN Yunxiao, SHAO Qing, FU Yuxiang, GUO Qing
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A Tunable Adaptive Detector for Mismatched Signal
Leida xuebao, 2015 The adaptive detection problem for mismatched useful signal is considered. A novel parametric adaptive detector is proposed, and the adaptive matched filter and double normalized adaptive matched filter are the special cases of the tunable detector.
Zou Kun, Wu De-wei, Zhang Bin, Li Wei
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Generalised RAO test for polarimetric target detection
The Journal of Engineering, 2019 Here, a generalised Rao test method is presented for polarimetric multichannel adaptive signal detection. By introducing several tunable parameters into the Rao test detection statistics, the proposed polarimetric detector is quite general with the ...
Lei Shen, Zhiwen Liu, Yougen Xu
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