Results 21 to 30 of about 816,649 (277)
Convolution, Correlation and Generalized Shift Operations Based on the Fresnel Transform
Sensors, 2023 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
doaj +1 more source
Application of deep learning in recognition of accrued earnings management
Heliyon, 2023 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
doaj +1 more source
Generalizing the Convolution Operator in Convolutional Neural Networks [PDF]
Neural Processing Letters, 2019 Neural Process Lett (2019)
openaire +2 more sources
Generalized punctured convolutional codes [PDF]
IEEE Communications Letters, 2005 This letter introduces the class of generalized punctured convolutional codes (GPCCs), which is broader than and encompasses the class of the standard punctured convolutional codes (PCCs). A code in this class can be represented by a trellis module, the GPCC trellis module, whose topology resembles that of the minimal trellis module.
Bartolomeu F. Uchôa Filho +3 more
openaire +2 more sources
Advances in Difference Equations, 2020 In this article, we investigate the so-called Inayat integral operator T p , q m , n $T_{p,q}^{m,n}$ , p , q , m , n ∈ Z $p,q,m,n\in \mathbb{Z}$ , 1 ≤ m ≤ q $1\leq m\leq q$ , 0 ≤ n ≤ p $0\leq n\leq p $ , on classes of generalized integrable functions. We
Shrideh Khalaf Al-Omari
doaj +1 more source
The q-Sumudu transform and its certain properties in a generalized q-calculus theory
Advances in Difference Equations, 2021 In this paper we consider a generalization to the q-calculus theory in the space of q-integrable functions. We introduce q-delta sequences and develop q-convolution products to derive certain q-convolution theorem.
Shrideh Khalaf Al-Omari
doaj +1 more source
Combining Transformer Generators with Convolutional Discriminators [PDF]
, 2021 Transformer models have recently attracted much interest from computer vision researchers and have since been successfully employed for several problems traditionally addressed with convolutional neural networks. At the same time, image synthesis using generative adversarial networks (GANs) has drastically improved over the last few years. The recently
Ricard Durall +6 more
openaire +4 more sources
Designing a general library for convolutions
CoRR, 2022 We will discuss our experiences and design decisions obtained from building a formal library for the convolution of two functions. Convolution is a fundamental concept with applications throughout mathematics. We will focus on the design decisions we made to make the convolution general and easy to use, and the incorporation of this development in Lean'
openaire +2 more sources
Generalized convolutions [PDF]
Russian Mathematical Surveys, 1964 Summary: This paper gives a review of the recent results on similarity and representability of generalized convolutions.
openaire +3 more sources