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COMBINATORICS
2006
121views more  COMBINATORICS 2006»
13 years 4 months ago
Asymptotics for Incidence Matrix Classes
We define incidence matrices to be zero-one matrices with no zero rows or columns. We are interested in counting incidence matrices with a given number of ones, irrespective of th...
Peter J. Cameron, Thomas Prellberg, Dudley Stark
CORR
2011
Springer
185views Education» more  CORR 2011»
12 years 11 months ago
Asymptotic Moments for Interference Mitigation in Correlated Fading Channels
Abstract—We consider a certain class of large random matrices, composed of independent column vectors with zero mean and different covariance matrices, and derive asymptotically ...
Jakob Hoydis, Mérouane Debbah, Mari Kobayas...
MA
2011
Springer
220views Communications» more  MA 2011»
12 years 11 months ago
Asymptotic expansions for a class of tests for a general covariance structure under a local alternative
Let S be a p × p random matrix having a Wishart distribution Wp(n, n−1Σ). For testing a general covariance structure Σ = Σ(ξ), we consider a class of test statistics Th = n...
Hiroaki Shimizu, Hirofumi Wakaki
CSSC
2010
121views more  CSSC 2010»
13 years 1 months ago
An Efficient Estimation for Switching Regression Models: A Monte Carlo Study
This paper investigates an efficient estimation method for a class of switching regressions based on the characteristic function (CF). We show that with the exponential weighting ...
Dinghai Xu
AUTOMATICA
2006
103views more  AUTOMATICA 2006»
13 years 4 months ago
A universal iterative learning stabilizer for a class of MIMO systems
Design of iterative learning control (ILC) often requires some prior knowledge about a system's control matrix. In some applications, such as uncalibrated visual servoing, th...
Ping Jiang, Huadong Chen, Leon C. A. Bamforth