Since the advent of television obtaining high perceived quality using a limited bandwidth has been an important issue. This thesis proposes methods inspired and based on the human visual system for exploitation of temporal and perceptual redundancy in image sequences to achieve lower coding rate and/or higher visual quality. Particularly relevant in the present context are the indications that ...

In this paper, for the first time, a comprehensive experimental study is performed on hydroforming process of metallic bellows. For this purpose, the effects of the main process parameters and their interactions on the characteristics of hydroformed metallic bellows are investigated using Response Surface Methodology (RSM). The selected parameters as input variables are internal pressure, die s...

The theory of the nonlocal linear boundary value problems is still on the level of examples. Any attempt to encompass them by a unified scheme sticks upon the lack of general methods. Here we are to outline an algebraic approach to linear nonlocal boundary value problems. It is based on the notion of convolution of linear operator and on operational calculus on it. Our operators are right inver...

We propose a direct blind zeroforcing approach to cancel intersymbol interference (ISI) in multiple user finite impulse response (FIR) channels. By selectively anchoring columns of the channel convolution matrix, we present two columnanchored zeroforcing equalizers (CAZE), one without output delay and one with a chosen delay. Unlike many known blind identification algorithms, these equalizers d...

A new algebraic method for the design of two-channel finiteduration impulse response quadrature mirror-image filter (FIR QMF) banks is proposed. The method uses a self-convolution technique to reformulate a fourth-order objective function whose minimization leads to the design of QMF banks. It is shown that the reformulated optimization problem can be solved by an iterative technique in which t...

We introduce a fast algorithm for computing volume potentials that is, the convolution of a translation invariant, free-space Green’s function with a compactly supported source distribution defined on a uniform grid. The algorithm relies on regularizing the Fourier transform of the Green’s function by cutting off the interaction in physical space beyond the domain of interest. This permits the ...

The ability to detect surfaces within confocal microscope images is important for the interpretation of such data. Most detectors are gradient-based, and so are sensitive to noise, and fail to detect some feature types that are important in confocal microscopy. The local energy feature detector developed by Morrone and Owens marks locations where there is congruence of phase in the Fourier comp...

In this article we introduce a new method to construct finite orthogonal quadrature filters using convolution kernels. We show that every filter with value 1 at the origin can be obtained using an even nonnegative kernel. We apply the method to estimate the optimal frequency localization of finite filters. The frequency localization γp of a finite filter m0 is given by the distance in L p-norm ...

In this work, we consider the numerical solution of a distributed order subdiffusion model, arising in the modeling of ultra-slow diffusion processes. We develop a space semidiscrete scheme based on the Galerkin finite element method, and establish error estimates optimal with respect to data regularity in L2(Ω) and H1(Ω) norms for both smooth and nonsmooth initial data. Further, we propose two...