Results 21 to 30 of about 1,582,878 (315)
Eisenstein series and convolution sums [PDF]
We compute Fourier series expansions of weight $2$ and weight $4$ Eisenstein series at various cusps. Then we use results of these computations to give formulas for the convolution sums $ \sum_{a+p b=n} (a) (b)$, $ \sum_{p_1a+p_2 b=n} (a) (b)$ and $ \sum_{a+p_1 p_2 b=n} (a) (b)$ where $p, p_1, p_2$ are primes.
openaire +4 more sources
Spiking row-by-row FPGA Multi-kernel and Multi-layer Convolution Processor. [PDF]
Spiking convolutional neural networks have become a novel approach for machine vision tasks, due to the latency to process an input stimulus from a scene, and the low power consumption of these kind of solutions.
Domínguez Morales, Juan Pedro +4 more
core +1 more source
DTS-SNN: Spiking Neural Networks With Dynamic Time-Surfaces
Convolution helps spiking neural networks (SNNs) capture the spatio-temporal structures of neuromorphic (event) data as evident in the convolution-based SNNs (C-SNNs) with the state-of-the-art classification-accuracies on various datasets.
Donghyung Yoo, Doo Seok Jeong
doaj +1 more source
Continuous-time statistics and generalized relaxation equations [PDF]
Using two simple examples, the continuous-time random walk as well as a two state Markov chain, the relation between generalized anomalous relaxation equations and semi-Markov processes is illustrated.
Scalas, Enrico
core +3 more sources
Bilinear Graph Neural Network with Neighbor Interactions
Graph Neural Network (GNN) is a powerful model to learn representations and make predictions on graph data. Existing efforts on GNN have largely defined the graph convolution as a weighted sum of the features of the connected nodes to form the ...
Feng, Fuli +6 more
core +1 more source
Orthonormal and biorthonormal filter banks as convolvers, and convolutional coding gain [PDF]
Convolution theorems for filter bank transformers are introduced. Both uniform and nonuniform decimation ratios are considered, and orthonormal as well as biorthonormal cases are addressed.
Vaidyanathan, P. P.
core +2 more sources
On double shifted convolution sum of SL(2,Z) Hecke eigenforms
Let λ i ( n ) , i = 1 , 2 , 3 , denote the normalized Fourier coefficients of a holomorphic eigenform or Maass cusp form. In this paper we shall consider the sum: S : = 1 H ∑ H ≤ h ≤ 2 H V ( h H ) × ∑ N ≤ n ≤ 2 N λ 1 ( n ) λ 2 ( n + h ) λ 3 ( n + 2 h ) W
S. Singh
semanticscholar +1 more source
On the solution of the convolution equation with a sum-difference kernel
The paper deals with the integral equations of the second kind with a sumdifference kernel. These equations describe a series of physical processes in a medium with a reflective boundary.
Ani G Barseghyan
doaj +1 more source
Fusion of Panchromatic and Multispectral Images Using Multiscale Convolution Sparse Decomposition
In this article, we proposed a novel image fusion method based on multiscale convolution sparse decomposition (MCSD). A unified framework based on MCSD is first utilized to decompose panchromatic (PAN) image and the spatial component of upsampled low ...
Kai Zhang +4 more
doaj +1 more source
QCD Rescattering and High Energy Two-Body Photodisintegration of the Deuteron [PDF]
Photon absorption by a quark in one nucleon followed by its high momentum transfer interaction with a quark in the other may produce two final-state nucleons with high relative momentum.
A. E. Dieperink +27 more
core +4 more sources

