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[PDF] Top 20 Random Matrix Theory applied to the Estimation of Collision Multiplicities

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Random Matrix Theory applied to the Estimation of Collision Multiplicities

Random Matrix Theory applied to the Estimation of Collision Multiplicities

... order to estimate the collision multiplicity, i.e., the number of users involved in a collision ...This estimation step is a key task in multi-packet reception approaches ... Voir le document complet

11

Random Matrix Theory applied to the Estimation of Collision Multiplicities

Random Matrix Theory applied to the Estimation of Collision Multiplicities

... order to estimate the collision multiplicity, i.e., the number of users involved in a collision ...This estimation step is a key task in multi-packet reception approaches ... Voir le document complet

12

Extension of Random Matrix Theory to the L-moments for Robust Portfolio Allocation

Extension of Random Matrix Theory to the L-moments for Robust Portfolio Allocation

... The Random matrix theory finds a justification in finance since the real process of the stock returns is unknown, that is the cross-correlation between stocks needs ... Voir le document complet

42

Estimation of Collision Multiplicities in IEEE 802.11-based WLANs

Estimation of Collision Multiplicities in IEEE 802.11-based WLANs

... Abstract—Estimating the collision multiplicity (CM), i.e. the number of users involved in a collision, is a key task in multi- packet reception (MPR) approaches and in collision ... Voir le document complet

7

Algorithmic Game Theory Applied to Networks and Populations

Algorithmic Game Theory Applied to Networks and Populations

... out of these simulations are the following. On many aspects, the simulations results were very close to the recorded field data, which suggests that our simple behavioral model bears at ... Voir le document complet

103

Spectral Analysis of the Adjacency Matrix of Random Geometric Graphs

Spectral Analysis of the Adjacency Matrix of Random Geometric Graphs

... adjacency matrix, limiting eigenvalue distribution, Levy ...years, random graph theory has been applied to model many complex real-world ...basic random graph used to ... Voir le document complet

8

Probability density estimation on the hyperbolic space applied to radar processing

Probability density estimation on the hyperbolic space applied to radar processing

... is the set of isometric transformations of Hn. In R n the convolution of a function f by a kernel g consists in the integral of translated kernel weighted by f in each ... Voir le document complet

9

Space–charge theory applied to the grain boundary impedance of proton conducting BaZr0.9Y0.1O3−δ

Space–charge theory applied to the grain boundary impedance of proton conducting BaZr0.9Y0.1O3−δ

... while the sample denoted BZY10-SPS was sintered in a carbon die by spark plasma sintering (SPS), at 1600 °C for 5 min under 100 MPa in ...>95%. The very short sintering time enabled by SPS was intended ... Voir le document complet

9

A Theory of Random Consumer Demand

A Theory of Random Consumer Demand

... Some of these assumptions apply to binary choice probabilities probability distributions on doubleton budgets, including several stochastic analogues of transitivity of binary preference[r] ... Voir le document complet

29

Random Matrix Improved Subspace Clustering

Random Matrix Improved Subspace Clustering

... analyzing the performance of spectral kernel algorithms is quite challenging for two essential reasons: (i) studying generically the eigenvectors of a data-driven adjacency (or similarity) ... Voir le document complet

6

The Modal Expansion Theory Applied to 3-D Metamaterial Waveguides Characterization

The Modal Expansion Theory Applied to 3-D Metamaterial Waveguides Characterization

... matter of fact, their radiation pattern is axially symmetric with zero cross-polarization response and may be shaped for high efficiency ...[34], the authors propose a 2-D FEM code returning the ... Voir le document complet

14

Understanding Random Forests: From Theory to Practice

Understanding Random Forests: From Theory to Practice

... if the full randomization of the induction procedure actually make individual decision trees to be quite fast to ...if the objective is only to identify a subset of ... Voir le document complet

225

Applications of large random matrix to high dimensional statistical signalprocessing

Applications of large random matrix to high dimensional statistical signalprocessing

... 2.4 Estimation of regularized spatio-temporal Wiener filters ...filter estimation using a training sequence is a very classical ...When the useful signal is corrupted by an additive temporally ... Voir le document complet

134

Kernel density estimation on the Siegel space applied to radar processing

Kernel density estimation on the Siegel space applied to radar processing

... in the study of Toeplitz block Toeplitz matrices, whose blocks represent co- variance matrices of the signal, see [5, 6, ...10]. The information geometry on positive definite Teoplitz ... Voir le document complet

19

Estimation of the bias parameter of the skew random walk and application to the skew Brownian motion

Estimation of the bias parameter of the skew random walk and application to the skew Brownian motion

... study the asymptotic property of simple estimator of the pa- rameter of a Skew Brownian Motion when one observes its positions on a fixed grid — or equivalently of a simple ... Voir le document complet

20

Estimation of the normalized coherency matrix through the SIRV model. Application to high resolution POLSAR data

Estimation of the normalized coherency matrix through the SIRV model. Application to high resolution POLSAR data

... objective of this paper is to present a new coherency estimation technique [9] based on the Spherically Invari- ant Random Vectors (SIRV) model [10], and to analyze the ... Voir le document complet

9

Random matrix study of the phase structure of QCD with two colors

Random matrix study of the phase structure of QCD with two colors

... number of early and recent model calculations [1–4] indicate that quark-quark correlations may play an important role in QCD at finite ...for the physics of neutron and compact stars as well as that ... Voir le document complet

13

A biased random key genetic algorithm applied to the electric distribution network reconfiguration problem

A biased random key genetic algorithm applied to the electric distribution network reconfiguration problem

... biased random-key genetic algorithm (BRKGA) to solve the electric distribution network reconfiguration problem ...(DNR). The DNR is one of the most studied combinatorial ... Voir le document complet

18

Paraconsistent probabilistic reasoning: applied to scenario recognition and voting theory

Paraconsistent probabilistic reasoning: applied to scenario recognition and voting theory

... set of seven commonsensical principles that characterises the inference from consistent knowledge ...adhering to further principles intended to define common sense when reasoning from an ... Voir le document complet

61

Covariance estimation on matrix manifolds

Covariance estimation on matrix manifolds

... value of t (blue points) for data drawn from a range of wind headings θ, for W = ...). The red line represents a “perfect” linear relationship. obstacle. (The matrices are visualized by their ... Voir le document complet

150

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