Results 11 to 20 of about 17,381 (301)
A generalized Hankel convolution on Zemanian spaces
We define a new generalized Hankel convolution on the Zemanian distribution spaces of slow growth.
Jorge J. Betancor
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On Generalized Gamma Convolution Distributions [PDF]
Abstract We present here characterizations of certain families of generalized gamma convolution distributions of L. Bondesson based on a simple relationship between two truncated moments. We also present a list of well-known random variables whose distributions or the distributions of certain functions of them belong to the class of generalized ...
Hamedani, Gholamhossein
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We use a generalized Brownian motion process to define the generalized Fourier-Feynman transform, the convolution product, and the first variation. We then examine the various relationships that exist among the first variation, the generalized Fourier ...
Seung Jun Chang, Jae Gil Choi
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Convolution, Correlation and Generalized Shift Operations Based on the Fresnel Transform
The Fresnel transform (FrT) is commonly used to describe the free-space propagation of optical waves. In this work, we present new definitions for the convolution, correlation and generalized shift operations based on the FrT.
Juan M. Vilardy +2 more
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U ovoj tezi je definisana uopštena konvolucija koja pripada domenu pseudo-analize i ima veliku primenu u mnogim matematičkim teorijama, npr. u proba-bilističkim metričkim prostorima, PDJ, teorijama odlučivanja, sistema, kontrole i fazi brojeva.
Štajner-Papuga, Ivana +1 more
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An area-efficient 2-D convolution implementation on FPGA for space applications [PDF]
The 2-D Convolution is an algorithm widely used in image and video processing. Although its computation is simple, its implementation requires a high computational power and an intensive use of memory.
Stefano Di Carlo +11 more
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Generalized convolutions V [PDF]
This paper is a continuation of part III, ibid. 80, 167-189 (1984; Zbl 0561.60019). It deals with generalized convolution algebras (\({\mathcal P},\circ)\), i.e. \({\mathcal P}\) is the set of all probability measures on the positive half-line and ``\(\circ ''\) is a generalized convolution of measures from \({\mathcal P}\).
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Generalized transforms and convolutions
In this paper, using the concept of a generalized Feynman integral, we define a generalized Fourier-Feynman transform and a generalized convolution product.
Timothy Huffman +2 more
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Application of deep learning in recognition of accrued earnings management
We choose the sample data in Chinese capital market to compare the measurement effect of earnings management with Deep Belief Network, Deep Convolution Generative Adversarial Network, Generalized Regression Neural Network and modified Jones model by ...
Jia Li, Zhoutianyang Sun
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Generalizing the Convolution Operator in Convolutional Neural Networks [PDF]
Neural Process Lett (2019)
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