ÐWe derive a class of computationally inexpensive linear dimension reduction criteria by introducing a weighted variant of the well-known K-class Fisher criterion associated with linear discriminant analysis (LDA). It can be seen that LDA weights contributions of individual class pairs according to the Euclidian distance of the respective class means. We generalize upon LDA by introducing a dif...

2. Introduction. Context-sensitive grammars (csgs) are one of the classical grammar families of formal language theory. They were introduced in [Ch59] and have been studied extensively since then (see []3073, Ha78] for an overview). Context-sensitive grammars are defined as rewriting systems, where the length of the right hand side of every production is at least as large as the length of the l...

The problem of compensation of modelling errors for the purpose of robust fault detection based on parity relations is addressed. The idea is to approximate unmodelled non-linear dynamics by a neural network model and then to remove the e€ ects of unmodelled dynamics from the primary residuals. The design of such a compensator takes two steps. In the ®rst, a subset of the most informative regre...

The formulation of macroscopic strength criteria under cyclic loading ductile porous media containing a pressure sensitive and non-associated plastic matrix is still pending issue. In this paper, new approach developed by using the bipotential theory. framework, non Generalized Standard Materials (GSM) are transformed into class Implicit (ISM), allowing recovery flow rule normality in weak form...

FIR filters obtained with the classical L2 method have performance that is very sensitive to the form of the ideal response selected for the transition region. In this paper we propose a means for selecting the unknown part of a compIex ideal response optimally. By selecting a proper L2 criterion and using variational techniques we succeed in minimizing the criterion with respect to the ideal r...

The subselect package addresses the issue of variable selection in different statistical contexts, among which exploratory data analyses; univariate or multivariate linear models; generalized linear models; principal components analysis; linear discriminant analysis, canonical correlation analysis. Selecting variable subsets requires the definition of a numerical criterion which measures the qu...

Abstract Background Space–time adaptive processing (STAP) has been widely used in the fields of communication, radar, and navigation anti-jamming. However, traditional scalar arrays with STAP have limitations because they can only obtain spatial information. To improve performance, joint space–time filtering is proposed using an alternating polarization-sensitive array (APSA). Compared to a dua...