In this paper, we present both a methodology and a rationale for designing filters based on spatial smoothness and accuracy criteria. Frequency based methods have been used to design function and derivative reconstruction filters especially in image and signal processing. Desired filter characteristics are specified in terms of spectral properties. However, for visualization and image synthesis...

Vehicle control systems need to prognosticate future vehicle states in order to improve energy efficiency. This paper compares four approaches that are used to identify the parameters of a longitudinal vehicle dynamics model used for the prediction of vehicle tractive forces. All of the identification approaches build on a standard Kalman filter. Measurement signals are processed using the poly...

In this paper, we study texture discrimination based on two filter families, Gabor and Hermite, which agree with the Gaussian derivative model of the human visual system. In the first part, discrimination of different textures, based on the output energy of these filters, is compared using the Fisher criterion and classification result. Results show that the presented filter bank is suitable fo...

Based on learning in input-output signal domain and controlling noise amplification by varying sampling rate, a pragmatic approach is developed for designing FIR deconvolution filters with the desired noise gains producing accurate as possible output time-domain waveforms for filter support intervals defined by a user. As an example, FIR linear phase digital differentiator is designed by the de...

Sustainability is important in voltage regulation control grids and must be done successfully. In this paper, a novel tilt-fractional order integral-derivative with second derivative low-pass filters controller, referred to as TIλDND2N2 proposed enhance the performance of an automatic regulator (AVR). article, equilibrium optimizer (EO) algorithm used optimally determine eight parameters contro...

A large number of time series can be described by nonlinear, non-Gaussian state-space models. While state estimation for these models is now routinely performed using particle filters, maximum likelihood estimation of the model parameters is much more challenging. In this paper, we present new numerical methods to approximate the derivative of the optimal filter. We use this to perform batch an...

Gaussian filter has an important role in edge detection. In this paper, a new methodology for edge detection using Gaussian second order derivative filters is proposed. Channel separation for Retinal Colour Fundus image is used followed by Gaussian filter. The performance of our proposed method has been assessed on 23 images representing the publicly available dataset; High-Resolution Fundus (H...

INTRODUCTION It is now recognized that to adequately protect skin from sun damage, sunscreens require a photostable combination of ultraviolet (UV) filters with a suitable level of UVA protection. The total amount of UV filters should be as low as possible to avoid adverse skin reactions, potential environmental impact, and to ensure acceptable texture for better application and usage. METHOD...