Results 21 to 30 of about 870,231 (290)
Energy savings using an adaptive base station-to-relay station switching paradigm [PDF]
, 2012 Applying a Base Station (BS) sleep approach during low traffic periods has recently been advocated as a strategy for reducing energy consumption in cellular networks. The complete switching off of certain BS however, can lead to coverage holes and severe
Alam, Atm Shafiul +3 more
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Adaptive Singular Value Thresholding [PDF]
2017 International Conference on Sampling Theory and Applications (SampTA), 2017 In this paper, we propose an Adaptive Singular Value Thresholding (ASVT) for low rank recovery under affine constraints. Unlike previous iterative methods that the threshold level is independent of the iteration number, in our proposed method, the threshold in adaptively decreases during iterations.
Zarmehi, Nematollah, Marvasti, Farokh
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A Zero-Velocity Update Method for Adaptive Particle Filtering
Xibei Gongye Daxue Xuebao, 2020 Aiming at the low precision of Kalman filter in dealing with non-linear and non-Gaussian models and the serious particle degradation in standard particle filter, a zero-velocity correction algorithm of adaptive particle filter is proposed in this paper ...
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IET Signal Processing, 2023 Radar signal deinterleaving is used to separate interleaved pulse streams in the electronic support measure (ESM) systems. The histogram methods based on the difference in time of arrival (TOA) are more mature in engineering applications than other ...
Min Xie +4 more
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MLP: a MATLAB toolbox for rapid and reliable auditory threshold estimation [PDF]
, 2009 In this paper, we present MLP, a MATLAB toolbox enabling auditory thresholds estimation via the adaptive Maximum Likelihood procedure proposed by David Green (1990, 1993).
A. B. Watson +34 more
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Real-Time Obstacle Avoidance Based on Floor Detection for Mobile Robots
Sakarya Üniversitesi Fen Bilimleri Enstitüsü Dergisi, 2020 Obstacle detection and avoidance are two main problems that demand solutions in the autonomous movement of mobile robots. To this end, the robots have been equipped with sensors and cameras.
Adem Hiçdurmaz, Adem Tuncer
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Learning Boolean Halfspaces with Small Weights from Membership Queries [PDF]
, 2014 We consider the problem of proper learning a Boolean Halfspace with integer weights $\{0,1,\ldots,t\}$ from membership queries only. The best known algorithm for this problem is an adaptive algorithm that asks $n^{O(t^5)}$ membership queries where the ...
Abasi, Hasan +2 more
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Principal component analysis and perturbation theory–based robust damage detection of multifunctional aircraft structure [PDF]
, 2013 A fundamental problem in structural damage detection is to define an efficient feature to calculate a damage index. Furthermore, due to perturbations from various sources, we also need to define a rigorous threshold whose overtaking indicates the ...
HAJRYA, Rafik, MECHBAL, Nazih
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Adaptive thresholding for sparse image reconstruction
Telfor Journal, 2023 The performance of the class of sparse reconstruction algorithms which is based on the iterative thresholding is highly dependent on a selection of the appropriate threshold value, controlling a trade-off between the algorithm execution time and the solution accuracy. This is why most of the state-of-the-art reconstruction algorithms employ some method
Volarić, Ivan, Sučić, Viktor
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Optic cup segmentation using adaptive threshold and morphological image processing
Communications in Science and Technology, 2019 Glaucoma is a chronic optic neuropathy. It was predicted that people with bilateral blindness caused by glaucoma will increase each year. Hence, computer-aided diagnosis of glaucoma was proposed to assist ophthalmologist to conduct a fast and accurate ...
Hanung Adi Nugroho +3 more
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