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18,101
ON AN INTEGRAL TRANSFORM
, 1988
"... ABSTRACT. A formula of inversion is established for an integral transform whose kernel is the Bessel function J (kr) where r varies over the finite interval (0,a) and the u order u is taken to be the eigenvalue parameter. qnen this parameter is large the uBessel function behaves for varying r like t ..."
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ABSTRACT. A formula of inversion is established for an integral transform whose kernel is the Bessel function J (kr) where r varies over the finite interval (0,a) and the u order u is taken to be the eigenvalue parameter. qnen this parameter is large the uBessel function behaves for varying r like
ON INTEGRAL TRANSFORMS
, 1979
"... ABSTRACT. A number of interesting theorems have recently been added to the existing ones in the field of integral transforms. The new arrivals can be broadly classified under two categories. The first expresses relationship between images and originals of related functions in the transforms concern ..."
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ABSTRACT. A number of interesting theorems have recently been added to the existing ones in the field of integral transforms. The new arrivals can be broadly classified under two categories. The first expresses relationship between images and originals of related functions in the transforms
integral transforms
, 1996
"... the transformation of colored random noise by the KronigKramers ..."
Integral Transforms Of Hypergeometric Functions
, 2003
"... These notes give a short introduction to the theory of integral transforms in Lebesgue spaces, which are associated with hypergeometric functions as their kernels. We deal with a class of the socalled KontorovichLebedev type integral transforms. It includes, in particular, the familiar Kontorov ..."
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These notes give a short introduction to the theory of integral transforms in Lebesgue spaces, which are associated with hypergeometric functions as their kernels. We deal with a class of the socalled KontorovichLebedev type integral transforms. It includes, in particular, the familiar
Unsupervised texture segmentation using Gabor filters
 Pattern Recognition
"... We presenf a texture segmentation algorithm inspired by the multichannel filtering theory for visual information processing in the early stages of human visual system. The channels are characterized by a bank of Gabor filters that nearly uniformly covers the spatialfrequency domain. We propose a s ..."
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Cited by 616 (20 self)
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systematic filter selection scheme which is based on reconstruction of the input image from the filtered images. Texture features are obtained by subjecting each (selected) filtered image to a nonlinear transformation and computing a measure of “energy ” in a window around each pixel. An unsupervised square
Bandera: Extracting Finitestate Models from Java Source Code
 IN PROCEEDINGS OF THE 22ND INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING
, 2000
"... Finitestate verification techniques, such as model checking, have shown promise as a costeffective means for finding defects in hardware designs. To date, the application of these techniques to software has been hindered by several obstacles. Chief among these is the problem of constructing a fini ..."
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Cited by 654 (33 self)
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), and difficult to optimize (which is necessary to combat the exponential complexity of verification algorithms). In this paper, we describe an integrated collection of program analysis and transformation components, called Bandera, that enables the automatic extraction of safe, compact finitestate models from
Integral Transforms and Signal Processing on the
, 2002
"... This paper is concerned with the grouptheoretical background of integral transforms and the role they play in signal processing on the sphere. An overview of topological groups, measure and representation theories, and an overview of the Windowed Fourier Transform and the Continuous Wavelet Transfo ..."
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This paper is concerned with the grouptheoretical background of integral transforms and the role they play in signal processing on the sphere. An overview of topological groups, measure and representation theories, and an overview of the Windowed Fourier Transform and the Continuous Wavelet
GLOBAL BEHAVIOR OF INTEGRAL TRANSFORMS
"... We obtain global estimates for various integral transforms of positive differentiable functions that satisfy inequalities of the type c1 f (x)/x ≤ − f ′(x) ≤ c2 f (x)/x, for x> 0. Copyright © 2006 J. Vindas and R. Estrada. This is an open access article distributed under the Creative Commons At ..."
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We obtain global estimates for various integral transforms of positive differentiable functions that satisfy inequalities of the type c1 f (x)/x ≤ − f ′(x) ≤ c2 f (x)/x, for x> 0. Copyright © 2006 J. Vindas and R. Estrada. This is an open access article distributed under the Creative Commons
Integral transformative education
 Journal of Transformative Education. V.3
, 2005
"... An increasing consensus is emerging among holistic educators about the need for an integral education that incorporates all human dimensions—body, vital, heart, mind, and spirit—into learning and inquiry. Most contemporary attempts at implementing this vision, however, fall back into “cognicentrism ..."
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Cited by 1 (0 self)
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” in that they essentially focus on the use of the mind and its intellectual capabilities. This article introduces a participatory approach to integral transformative learning in which all human dimensions are invited to cocreatively participate in the unfolding of the educational process. The metaphor of the four seasons
RealTime Computing Without Stable States: A New Framework for Neural Computation Based on Perturbations
"... A key challenge for neural modeling is to explain how a continuous stream of multimodal input from a rapidly changing environment can be processed by stereotypical recurrent circuits of integrateandfire neurons in realtime. We propose a new computational model for realtime computing on timevar ..."
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Cited by 469 (38 self)
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A key challenge for neural modeling is to explain how a continuous stream of multimodal input from a rapidly changing environment can be processed by stereotypical recurrent circuits of integrateandfire neurons in realtime. We propose a new computational model for realtime computing on time
Results 1  10
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18,101