Results 1 to 10 of about 190,858 (265)
Remote Sensing, 2023 The detection performance of active sonar is often hindered by the presence of seabed reverberation in shallow water. Separating the reverberations from the target echo and noise in the received signal is a crucial challenge in the field of underwater ...
Jie Pang, Bo Gao
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A randomized algorithm for finding a maximum clique in the visibility graph of a simple polygon [PDF]
Discrete Mathematics & Theoretical Computer Science, 2015 Discrete ...
Sergio Cabello, Maria Saumell
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A Randomized Greedy Algorithm for Piecewise Linear Motion Planning
Mathematics, 2021 We describe and implement a randomized algorithm that inputs a polyhedron, thought of as the space of states of some automated guided vehicle R, and outputs an explicit system of piecewise linear motion planners for R. The algorithm is designed in such a
Carlos Ortiz +3 more
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Algorithms, 2022 An accelerated least-squares approach is introduced in this work by incorporating a greedy point selection method with randomized singular value decomposition (rSVD) to reduce the computational complexity of missing data reconstruction.
Siriwan Intawichai, Saifon Chaturantabut
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Robust Three-Microphone Speech Source Localization Using Randomized Singular Value Decomposition
IEEE Access, 2021 Direction-of-arrival (DOA) estimation is a fundamental technique in array signal processing due to its wide applications in beamforming, speech enhancement and many other assistive speech processing technologies.
Serkan Tokgoz, Issa M. S. Panahi
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Cryptography and Algorithmic Randomness [PDF]
Theory of Computing Systems, 2014 34 pages, LaTeX2e, no ...
Kohtaro Tadaki, Norihisa Doi
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Quantum algorithmic randomness [PDF]
Journal of Mathematical Physics, 2021 Quantum Martin-Löf randomness (q-MLR) for infinite qubit sequences was introduced by Nies and Scholz [J. Math. Phys. 60(9), 092201 (2019)]. We define a notion of quantum Solovay randomness, which is equivalent to q-MLR. The proof of this goes through a purely linear algebraic result about approximating density matrices by subspaces.
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A coupon collector's problem with bonuses [PDF]
Discrete Mathematics & Theoretical Computer Science, 2006 In this article, we study a variant of the coupon collector's problem introducing a notion of a \emphbonus. Suppose that there are c different types of coupons made up of bonus coupons and ordinary coupons, and that a collector gets every coupon with ...
Toshio Nakata, Izumi Kubo
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IEEE Access, 2018 Determining the variable transmission structure is the key step in designing a distributed monitoring scheme for multiunit processes. This paper proposes randomized algorithm (RA) integrated with evolutionary optimization-based data-driven distributed ...
Qingchao Jiang, Yang Wang, Xuefeng Yan
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Randomized Matrix Decompositions Using R
Journal of Statistical Software, 2019 Matrix decompositions are fundamental tools in the area of applied mathematics, statistical computing, and machine learning. In particular, low-rank matrix decompositions are vital, and widely used for data analysis, dimensionality reduction, and data ...
N. Benjamin Erichson +3 more
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