Results 21 to 30 of about 132,686 (287)
Derandomizing Compressed Sensing With Combinatorial Design
Frontiers in Applied Mathematics and Statistics, 2019 Compressed sensing is the art of effectively reconstructing structured n-dimensional vectors from substantially fewer measurements than naively anticipated. A plethora of analytical reconstruction guarantees support this credo.
Peter Jung +2 more
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Achieving 3D Beamforming by Non-Synchronous Microphone Array Measurements
Sensors, 2020 Beamforming technology is an essential method in acoustic imaging or reconstruction, which has been widely used in sound source localization and noise reduction.
Liang Yu, Qixin Guo, Ning Chu, Rui Wang
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The Lattice of N-Run Orthogonal Arrays [PDF]
, 2002 If the number of runs in a (mixed-level) orthogonal array of strength 2 is specified, what numbers of levels and factors are possible? The collection of possible sets of parameters for orthogonal arrays with N runs has a natural lattice structure ...
Rains, E. M. +2 more
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Equivalence of Decoupling Schemes and Orthogonal Arrays [PDF]
, 2004 We consider the problem of switching off unwanted interactions in a given multi-partite Hamiltonian. This is known to be an important primitive in quantum information processing and several schemes have been presented in the literature to achieve this ...
Roetteler, Martin, Wocjan, Pawel
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Mixture Designs Generated by Orthogonal Arrays Developed Using Difference Schemes [PDF]
International Journal of Mathematical, Engineering and Management Sciences, 2020 This paper presents an algorithm for constructing mixture designs based on orthogonal arrays developed using difference schemes. The algorithm can also be applied to constrained mixture experiments.
Poonam Singh, Vandana Sarin, Neha Midha
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Constructions of augmented orthogonal arrays [PDF]
Journal of Combinatorial Designs, 2018 AbstractAugmented orthogonal arrays (AOAs) were introduced by Stinson, who showed the equivalence between ideal ramp schemes and AOAs (Discrete Math. 341 (2018), 299–307). In this paper, we show that there is an AOAif and only if there is an OAwhich can be partitioned intosubarrays, each being an OA, and that there is a linear AOAif and only if there ...
Xin Wang, Lijun Ji, Yun Li, Miao Liang
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On the Connection Coefficients of the Chebyshev-Boubaker Polynomials
The Scientific World Journal, 2013 The Chebyshev-Boubaker polynomials are the orthogonal polynomials whose coefficient arrays are defined by ordinary Riordan arrays. Examples include the Chebyshev polynomials of the second kind and the Boubaker polynomials.
Paul Barry
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Construction of Binary Quantum Error-Correcting Codes from Orthogonal Array
Entropy, 2022 By using difference schemes, orthogonal partitions and a replacement method, some new methods to construct pure quantum error-correcting codes are provided from orthogonal arrays.
Shanqi Pang, Hanxiao Xu, Mengqian Chen
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Statistical Theory and Related FieldsSpace-filling designs with superior low-dimensional properties are highly required in computer experiments. Strong orthogonal arrays (SOAs) represent a class of such designs that outperform ordinary orthogonal arrays in their stratification properties ...
Qiang Gao +3 more
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Loss Reduction in Distribution Networks With DG Units by Correlating Taguchi Method and Genetic Algorithm [PDF]
Iranian Journal of Electrical and Electronic Engineering, 2022 Optimal power flow is an essential tool in the study of power systems. Distributed generation sources increase network uncertainties due to their random behavior, so the optimal power flow is no longer responsive and the probabilistic optimal power flow ...
M. Najjarpour, B. Tousi, S. Jamali
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