Results 61 to 70 of about 38,212 (190)
In this paper, an innovative cyclic noise reduction method and an improved CAPON algorithm (also the called minimum variance distortionless response (MVDR) algorithm) are proposed to improve the accuracy and reliability of DOA (direction of arrival ...
Yihan Lu +5 more
doaj +1 more source
Simulation study of beam-beam effects
The Beijing Electron-Positron Collider (BEPC) will be upgraded to BEPCII, and the luminosity will be about 100 times higher. We developed a three-dimensional strong-strong PIC code to study the beam-beam effects in BEPCII.
Yuan Zhang, Kazuhito Ohmi, Limin Chen
doaj +1 more source
The heterogeneous electron transfer reduction of the bicyclic endoperoxide 1,4-diphenyl-2,3-dioxabicyclo[2.2.1]hept-5-ene (4) was investigated in N,N-dimethylformamide at a glassy carbon electrode.
David C. Magri, Mark S. Workentin
doaj +1 more source
Convolutional Dictionary Learning through Tensor Factorization [PDF]
Tensor methods have emerged as a powerful paradigm for consistent learning of many latent variable models such as topic models, independent component analysis and dictionary learning.
Anandkumar, Animashree, Huang, Furong
core +2 more sources
Convolution numbers: the cyclic case
Convolution sums are introduced and special instances of the cyclic convolution on finite sets is examined in more detail. The distributions that emerge are multidimensional generalizations of the Catalan and Narayana numbers. This work yields a closed form solution for 1-dimensional marginals and certain bivariate marginals in the cyclic prime case ...
Constantine, Gregory M +1 more
openaire +2 more sources
On the K-theory of the cyclic quiver variety
We compute the convolution product on the equivariant K-groups of the cyclic quiver variety. We get a q-analogue of double-loop algebras, closely related to the toroidal quantum groups previously studied by the authors.
Varagnolo, Michela, Vasserot, Eric
core +1 more source
Value Iteration Networks on Multiple Levels of Abstraction
Learning-based methods are promising to plan robot motion without performing extensive search, which is needed by many non-learning approaches. Recently, Value Iteration Networks (VINs) received much interest since---in contrast to standard CNN-based ...
Behnke, Sven +2 more
core +1 more source
Prediction of height adjustment of shearer drum based on improved gated recurrent neural network
The adaptive cutting technology of the shearer is a key technology for achieving intelligent mining in fully mechanized working faces. In order to solve the problem of low automatic cutting precision of the shearer in complex coal seams, a prediction ...
QI Ailing, WANG Yu, MA Hongwei
doaj +1 more source
Prefix-Free Frequency Domain Equalization for Underwater Acoustic Single Carrier Transmissions
Prefixes, in forms of cyclic-prefixes or zero-padding, have often been viewed as indispensable in underwater acoustic single-carrier transmissions to avoid inter-block interference (IBI) and to formulate circular convolution.
Xingbin Tu, Aijun Song, Xiaomei Xu
doaj +1 more source
Projective module description of the q-monopole
The Dirac q-monopole connection is used to compute projector matrices of quantum Hopf line bundles for arbitrary winding number. The Chern-Connes pairing of cyclic cohomology and K-theory is computed for the winding number -1.
Hajac, P. M., Majid, S.
core +2 more sources

