in this paper, we study the problem of minimizing the ratio of two quadratic functions subject to a quadratic constraint. first we introduce a parametric equivalent of the problem. then a bisection and a generalized newton-based method algorithms are presented to solve it. in order to solve the quadratically constrained quadratic minimization problem within both algorithms, a semidefinite optim...

Narasimhan incorporated fuzzy set theory within goal formulation in 1980. Since then, much research has been performed in this field, and various models for solving fuzzy goal programming have been proposed. One of the well-known models was proposed by Tiwari et al. in 1987 [19], where an additive model was proposed. This paper is an extension to the Tiwari et al. model that deals with the sum ...

Point source modeling is frequently used in m a y processing. Although this assumption is good for many applications, thm are some situations where point source modeling is unrealistic. For instance, in a multi-beam echo sounder, a reflected signal from the scs floor appears as a spatially extended source. In this paper we investigate distributed sources. The approach is based on the a ~ s u m ...

Low gain feedback, a parameterized family of stabilizing state feedback gains whose magnitudes approach zero as the parameter decreases to zero, has found several applications in constrained control systems, robust control and nonlinear control. In the continuous-time setting, there are currently three ways of constructing low gain feedback laws the eigenstructure assignment approach, the param...

A class of new observers in descriptor linear systems, proportional-derivative (PD) observers, are proposed. A parametric design approach for such observers is proposed based on a complete parametric solution to the generalized Sylvester matrix equation. The approach provides complete parameterizations for all the observer gains, gives the parametric expression for the corresponding left eigenv...

small area estimation is a technique used to estimate parameters of subpopulations with small sample sizes.  small area estimation is needed  in obtaining information on a small area, such as sub-district or village.  generally, in some cases, small area estimation uses parametric modeling.  but in fact, a lot of models have no linear relationship between the small area average and the covariat...

In this paper, we consider the problem of policy evaluation for continuousstate systems. We present a non-parametric approach to policy evaluation, which uses kernel density estimation to represent the system. The true form of the value function for this model can be determined, and can be computed using Galerkin’s method. Furthermore, we also present a unified view of several well-known policy...

We describe a method for computing visual correspondence based on the local ordering of intensities. Ordering information is robust to outliers and invariant to mono-tonic intensity distortions such as image gain. Our approach is based on non-parametric measures of association but also accounts for the spatial variation of disparities. We describe some of the mathematical properties of our algo...

In voice conversion, speech and signal processing techniques are used for the modification of speaker identity, i.e. for modifying the speech of a source speaker to sound as if it was spoken by a target speaker. In this paper, we describe a parametric framework for voice conversion. The parametric representation separates the speech signal into a vocal tract contribution estimated using linear ...