نتایج جستجو برای: convolution operator

تعداد نتایج: 109683  

Journal: :journal of medical signals and sensors 0

planar d-bar integral equation is one of the inverse scattering solution methods for complex problems including inverse conductivity considered in applications such as electrical impedance tomography (eit). recently two different methodologies are considered for the numerical solution of d-bar integrals equation, namely product integrals and multigrid. the first one involves high computational ...

Journal: :Computers & Mathematics with Applications 2009
Zhi-Gang Wang Yue-Ping Jiang Hari M. Srivastava

Keywords: Meromorphic functions Multivalent functions Dziok–Srivastava linear operator Hadamard product (or convolution) Subordination between analytic functions Generalized hypergeometric function Symmetric points Conjugate points Symmetric conjugate points a b s t r a c t In the present paper, we introduce and investigate each of the following new subclasses: of meromorphically p-valent funct...

2006
X. Zhang

Image restoration is formulated using a truncated singular-value-decomposition (SVD) filter bank. A pair of known data patterns is used for identifying a small convolution operator. This is achieved by matrix pseudo-inversion based on SVD. Unlike conventional approaches, however, here SVD is performed upon a data-pattern matrix that is much smaller than the image size, leading to an enormous sa...

2005
Vincent J. Ervin Norbert Heuer John Paul Roop

In this article we analyze a fully discrete numerical approximation to a time dependent fractional order diffusion equation which contains a non-local, quadratic non-linearity. The analysis is performed for a general fractional order diffusion operator. The non-linear term studied is a product of the unknown function and a convolution operator of order 0. Convergence of the approximation and a ...

2012
A. L. Pathak S. Porwal R. Agarwal

In the present paper, we are defining a subclass of harmonic univalent functions with positive coefficients in unit disc U by using fractional calculus operator. Further we obtain distortion bounds, extreme points and radii of convexity for functions belonging to this class and discuss a class preserving integral operator. Here we also determine that the class studied in this paper is closed un...

Journal: :Applied Mathematics and Computation 2008
Janusz Sokól

We use a property of the Bernardi operator in the theory of the Briot–Bouquet differential subordinations to prove several theorems for the classes VpkðH;A;BÞ of multivalent analytic functions defined by using the Dziok–Srivastava operator H. Some of these results we obtain applying the convolution property due to Rusheweyh. We take advantage of the Miller–Mocanu lemma to improve the earlier re...

2003
Loukas Grafakos

where the integral in (1.1) should be interpreted in the principal value sense when (ax + b)(ax + d) < 0. Note that for a = 0, Ha,b,d is not a convolution operator. When a = 1, H1,b,d = H(fχ[−d,−b]) is the Hilbert transform composed with multiplication by the characteristic function of the interval [−d,−b]. When a = 0, H0,b,d is a well understood operator. In the sequel, we will concentrate our...

2013
Om P. Ahuja Poonam Sharma

The purpose of this paper is to apply Wright generalized hypergeometric (Wgh) functions in defining a linear operator and obtain some inclusion relationships between the classes of harmonic univalent functions under this linear operator whenever certain Wgh inequalities with its validity conditions hold. Results for special cases of Wgh functions are also mentioned. 2000 Mathematics Subject Cla...

Journal: :CoRR 2010
Punyashloka Biswal

Hypercontractive inequalities are a useful tool in dealing with extremal questions in the geometry of high-dimensional discrete and continuous spaces. In this survey we trace a few connections between different ways of stating hypercontractivity, and also present some relatively recent applications of these techniques in computer science. 1 Preliminaries and notation Fourier analysis on the hyp...

Journal: :CoRR 2016
Jean-Charles Vialatte Vincent Gripon Grégoire Mercier

Convolutional Neural Networks (CNNs) have become the state-of-the-art in supervised learning vision tasks. Their convolutional filters are of paramount importance for they allow to learn patterns while disregarding their locations in input images. When facing highly irregular domains, generalized convolutional operators based on an underlying graph structure have been proposed. However, these o...

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