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NIPS
2004
13 years 8 months ago
Hierarchical Eigensolver for Transition Matrices in Spectral Methods
We show how to build hierarchical, reduced-rank representation for large stochastic matrices and use this representation to design an efficient algorithm for computing the largest...
Chakra Chennubhotla, Allan D. Jepson
IJCAI
2007
13 years 8 months ago
Adaptive Genetic Algorithm with Mutation and Crossover Matrices
A matrix formulation for an adaptive genetic algorithm is developed using mutation matrix and crossover matrix. Selection, mutation, and crossover are all parameter-free in the se...
Nga Lam Law, Kwok Yip Szeto
ICASSP
2011
IEEE
12 years 11 months ago
Complex random matrices and multiple-antenna spectrum sensing
In this paper, we study the eigenvalue-based spectrum sensing techniques for multiple-antenna cognitive radio networks. First, we study the extreme eigenvalue distributions of a c...
Tharmalingam Ratnarajah, Caijun Zhong, Ayse Kortun...
CORR
2008
Springer
70views Education» more  CORR 2008»
13 years 7 months ago
Random Vandermonde Matrices-Part II: Applications
In this paper, we review some potential applications of random Vandermonde matrices in the field of signal processing and wireless communications. Using asymptotic results based on...
Øyvind Ryan, Mérouane Debbah
TIT
2010
98views Education» more  TIT 2010»
13 years 2 months ago
QR decomposition of Laurent polynomial matrices sampled on the unit circle
Abstract--We consider Laurent polynomial (LP) matrices defined on the unit circle of the complex plane. QR decomposition of an LP matrix A(s) yields QR factors Q(s) and R(s) that, ...
Davide Cescato, Helmut Bölcskei