Digital images are often affected by impulse noise during image acquisition and/or transmission over communication channel. A Neural Based Post Processing Technique for Image Quality Enhancement (NBPPTIQE) for enhancing digital images corrupted by impulse noise is proposed in this paper. The proposed filter is an intelligent filter obtained by aptly combining a Nonlinear Filter (NF), Modified C...

The wave digital filter (WDF) theory provides us with a systematic methodology for building digital models of analog filters through the discretization of their individual circuit components. In some situations, WDF principles can also be successfully used for modeling circuits in which a nonlinear circuit element is present under mild conditions on its characteristic. In this paper, we propose...

In this paper, we present a median filter which uses an adaptive variable block. The two dimension median filter is a nonlinear digital image filtering method, which generally used to remove unwanted impulse noise. The median filter is normally used in the step of pre-processing to improve the performance. To assess performance of the proposed method, we vary noise level and block size. Experim...

In the several past years, Extended Kalman Filter (EKF) and Unscented Kalman Filter (UKF) havebecame basic algorithm for state-variables and parameters estimation of discrete nonlinear systems.The UKF has consistently outperformed for estimation. Sometimes least estimation error doesn't yieldwith UKF for the most nonlinear systems. In this paper, we use a new approach for a two variablestate no...

Digital images are often contaminated by impulse noise during image acquisition and/or transmission over communication channel. A new Hybrid Neuro-Fuzzy (HNF) filter for restoring digital images corrupted by impulse noise is proposed in this paper. The proposed filter is a hybrid filter obtained by aptly combining a Nonlinear Filter (NF), Canny Edge Detector (CED) and an Adaptive Neuro-Fuzzy In...

understanding of the runoff generation processes is important in understanding the magnitude and dynamics ofgroundwater discharge. however, these processes continue to be difficult to quantify and conceptualize. in this study,two digital filter based separation modules, the recursive filtering method (rdf) and a generalization of therecursive digital filter (grdf) were1991–2002 in the hableh ro...

In this paper, we present a novel technique for the design of FIR and IIR digital filters. The design approach begins with the specification of a discrete set of arbitrary magnitude and phase characteristics which describe a desired filter response. These frequency domain characteristics are used to create an ideal 'pseudo-filter' whose impulse response is unknown and possibly non-causal, but w...

A strong digital communication transmitter in close physical proximity to a receiver of a weak signal can noticeably interfere with the latter even when the respective channels are tens or hundreds of megahertz apart. When time domain observations are made in the signal chain of the receiver between the first mixer and the baseband, this interference is likely to appear impulsive. The impulsive...

understanding of the runoff generation processes is important in understanding the magnitude and dynamics ofgroundwater discharge. however, these processes continue to be difficult to quantify and conceptualize. in this study,two digital filter based separation modules, the recursive filtering method (rdf) and a generalization of therecursive digital filter (grdf) were1991–2002 in the hableh ro...