The recent nonlocal means filter is a very successful technique for denoising textured images. In this paper, we formulate a variational technique that leads to an adaptive version of this filter. In particular, in an iterative manner, the filtering result is employed to redefine the similarity of patches in the next iteration. We further introduce the idea to replace the neighborhood weighting...

This paper is concerned with the design of nearly linear phase two-channel filter banks. Exactly linear phase finite-impulse response or nearly linear phase infinite-impulse response (IIR) filters are employed in analysis filter banks, and nearly linear phase IIR synthesis filter banks are designed such that the overall filter banks are also nearly linear phase. The filter bank design problem i...

This article presents a non linear multifunction filter design; this design, with minor changes performs as a Media, Median Minimum or Maximum Filter. The analog design block system is based on an ideal macromodel, consisting of VCCS elements, resistances and diodes. The analysis, control variables and limitations are presented. Simulated results in SPICE are presented. Key-Words: Non linear fi...

In this paper, the robust Kalman filtering problem for uncertain discretetime linear systems with hlarkovian jumping parameters is addressed. It is assumed that the information about the jumping parameters is available, and the uncertainties are formulated by linear fractional transformation. We propose two methods for designing Markovian jumping filters so that the covariance of estimation err...

This paper introduces filter structures for interpolation and decimation by a factor of two. The structures are derived by using the frequency-response masking approach, in which the overall filter makes use of a periodic model filter, its complementary filter, and two masking filters. The periodic model filters are obtained by replacing each delay element in a model filter with M delay element...

With progress in radar systems, a number of methods have been developed for signal processing and detection in radars. A number of modern radar signal processing methods use time-frequency transforms, especially the wavelet transform (WT) which is a well-known linear transform. The interference canceling is one of the most important applications of the wavelet transform. In Ad-hoc detection met...

Recently many mathematical models for image processing have been widely applied in computer visualization. The nonlinear diffusion PDE has been broadly applied in image processing. In this paper we propose a convection-diffusion filter by adding a convection term in the modified diffusion equation as a physical interpretation for removing the noise. We study the dynamics of such equations by th...