Filtering and Gradient Estimation for Distance Fields by Quadratic Regression

An iterative approach for estimation of efficiency by weighted distance

Gradient-Based Distance Estimation for Spatial Computers

Today’s wireless networks are connecting more and more devices around us, leading to the birth of a new distributed computing platform, in the form of a spatial computer. The main difference with traditional computing models is that space and time become intertwined with computation, especially when scaling up the system. Computations performed by each element are now related to its spatial pos...

Nonparametric Estimation of Quadratic Regression Functionals

Quadratic regression functionals are important for bandwidth selection of nonparametric regression techniques and for nonparametric goodness-of-t test. Based on local polynomial regression , we propose estimators for weighted integrals of squared derivatives of regression functions. The rates of convergence in mean square error are calculated under various degrees of smoothness and appropriate ...

Quality of Gradient Magnetic Fields Estimation

 *Faculty of Electrical Engineering and Communications, Kolejni 2906/4, 612 00 Brno, Czech Republic, Phone:+420-5-41143649, Fax:+420-5-41149512, Mail: [email protected] ** Faculty of Electrical Engineering and Communications, Kolejni 2906/4, 612 00 Brno, Czech Republic, Mail: [email protected] ***1Academy of Sciences of the Czech Republic,Institute of Scientific Instruments, K...

Multichannel filtering by gradient information

In this paper, multichannel image "ltering using local gradient information is studied and evaluated which is simpler and more appropriate than the traditional approaches that have been addressed by means of groupwise vector ordering information. Two adaptive weighted multichannel "lters based on local gradient information to noise removal in color images are introduced. The "rst proposed multi...