Results 11 to 20 of about 199,961 (218)
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 ...
Sergio Cabello, Maria Saumell
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A Randomized Greedy Algorithm for Piecewise Linear Motion Planning
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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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
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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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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A coupon collector's problem with bonuses [PDF]
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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Randomized Matrix Decompositions Using R
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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Sublinear Time Motif Discovery from Multiple Sequences
In this paper, a natural probabilistic model for motif discovery has been used to experimentally test the quality of motif discovery programs. In this model, there are k background sequences, and each character in a background sequence is a random ...
Yunhui Fu, Bin Fu, Yuan Xue
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A Randomized Distributed Kaczmarz Algorithm and Anomaly Detection
The Kaczmarz algorithm is an iterative method for solving systems of linear equations. We introduce a randomized Kaczmarz algorithm for solving systems of linear equations in a distributed environment, i.e., the equations within the system are ...
Fritz Keinert, Eric S. Weber
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