In this paper a new geometric-mean circuit for current-mode square-root domain filters (SRD) is presented. The geometric-mean circuit employs MOSFET transistors that are operating in both strong inverted saturation and triode regions and works in low supply voltage. Simulation results by HSPICE confirm the validity of the proposed design technique.

Introduction: Three dimensional geometric models have been used in a variety of application areas, such as surgical simulation, planning, visualization, and teaching. In nearly all such domains, these models encode detailed spatial geometric information, but usually contain little additional information, such as knowledge about the structures these models contain or properties of those structures.

In this paper the individual and combined effects of random boundary and geometric imperfections on the limit loads of isotropic, thin-walled, cylindrical shells under axial compression are presented. Second moment characteristics of these imperfections are estimated by data of available measurements of imperfections, a simulation procedure based on the Karhunen-Loéve expansion is applied for g...

The convergence property of the discrete Laplace-Beltrami operator is the foundation of convergence analysis of the numerical simulation process of some geometric partial differential equations which involve the operator. The aim of this paper is to review several already used discrete Laplace-Beltrami operators over triangulated surface and study numerically as well as theoretically their conv...

Stationary digital breast tomosynthesis (sDBT) with distributed X-ray sources based on carbon nanotube (CNT) field emission cathodes has been recently proposed as an approach that can prevent motion blur produced by traditional DBT systems. In this paper, we simulate a geometric calibration method based on a proposed multi-source CNT X-ray sDBT system. This method is a projection matrix-based a...

Methods are presented for the extraction of surface patches from simple geometric shapes from 3D range data. These provide useful cues for recognising the objects visible in the scene. The geometric shapes considered are planes, spheres, cylinders, and ruled surfaces. Test results based on both Monte Carlo simulation and real range images are presented.

This paper investigates the meaning of “statistical methods” for geometric inference based on image feature points. Tracing back the origin of feature uncertainty to image processing operations for computer vision in general, we discuss implications of asymptotic analysis in reference to “geometric fitting” and “geometric model selection”. For the latter, we point out the prominent characterist...

Today many systems exist to generate geometric m dels of existing scenes and objects. However, very few systems store accurate data about surface appearance such as colors and textures. One way to capture surface texture data is to record a series of images that, collectively, captures all visible surfaces of the object. Finding good viewpoints for this task is not easy. This paper presents a n...

In this paper, we describe how veri ed methods we are developing in the course of the project TellHim&S (Interval Based Methods For Adaptive Hierarchical Models In Modeling And Simulation Systems) can be applied in the context of the biomechanical project PROREOP (Development of a new prognosis system to optimize patient-speci c preoperative surgical planning for the human skeletal system). On ...

The optimal geometric mean return is an important property of an asset. As a derivative of the underlying asset, the option also has this property. In this paper, we show that the optimal geometric mean returns of a stock and its option are the same from Kelly criterion. It is proved by using binomial option pricing model and continuous stochastic models with self-financing assumption. A simula...