Results 31 to 40 of about 33,726 (205)
Sensors, 2018 The energy reading has been an efficient and attractive measure for collaborative acoustic source localization in practical application due to its cost saving in both energy and computation capability.
Yongsheng Yan +4 more
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Multipath Exploitation with Time Reversal Waveform Covariance Matrix for SNR Maximization
Remote Sensing, 2020 Radar target detection has a wide range of applications in the military and civilian remote sensing fields; in particular, the target detection in multipath environments has attracted many scholars’ attention in recent years.
Chao Xiong, Chongyi Fan, Xiaotao Huang
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Exact duality in semidefinite programming based on elementary reformulations [PDF]
, 2015 In semidefinite programming (SDP), unlike in linear programming, Farkas' lemma may fail to prove infeasibility. Here we obtain an exact, short certificate of infeasibility in SDP by an elementary approach: we reformulate any semidefinite system of the ...
Liu, Minghui, Pataki, Gabor
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Exposed faces of semidefinitely representable sets
, 2009 A linear matrix inequality (LMI) is a condition stating that a symmetric matrix whose entries are affine linear combinations of variables is positive semidefinite.
Netzer, Tim +2 more
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Semidefinite Programming Algorithms for 3-D AOA-Based Hybrid Localization
IEEE Open Journal of Signal Processing, 2023 By taking different kinds of measurements at the same time, it may be possible to improve the accuracy of target localization or reduce the number of sensors needed.
Yanbin Zou
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MathematicsThis article proposes a novel robust invariance condition for uncertain linear discrete-time systems with state and control constraints, utilizing a method of semidefinite programming duality.
Hongli Yang +3 more
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Low-rank semidefinite programming for the MAX2SAT problem
, 2018 This paper proposes a new algorithm for solving MAX2SAT problems based on combining search methods with semidefinite programming approaches. Semidefinite programming techniques are well-known as a theoretical tool for approximating maximum satisfiability
Kolter, J. Zico, Wang, Po-Wei
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Logarithmic Barrier Method Via Minorant Function for Linear Semidefinite Programming
Annales Mathematicae Silesianae, 2023 We propose in this study, a new logarithmic barrier approach to solve linear semidefinite programming problem. We are interested in computation of the direction by Newton’s method and of the displacement step using minorant functions instead of line ...
Leulmi Assma
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Block-diagonal semidefinite programming hierarchies for 0/1 programming [PDF]
, 2007 Lovasz and Schrijver, and later Lasserre, proposed hierarchies of semidefinite programming relaxations for general 0/1 linear programming problems. In this paper these two constructions are revisited and two new, block-diagonal hierarchies are proposed ...
Balas +18 more
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Self-consistent quantum measurement tomography based on semidefinite programming
Physical Review Research, 2023 We propose an estimation method for quantum measurement tomography (QMT) based on semidefinite programming (SDP) and discuss how it may be employed to detect experimental imperfections, such as shot noise and/or faulty preparation of the input states on ...
Marco Cattaneo +6 more
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