Zobrazeno 1 - 10
of 5 366
pro vyhledávání: '"Ng, P. K."'
In recent years, the rapid evolution of satellite communications play a pivotal role in addressing the ever-increasing demand for global connectivity, among which the Low Earth Orbit (LEO) satellites attract a great amount of attention due to their l
Externí odkaz:
http://arxiv.org/abs/2409.17553
Autor:
Dong, Pingping, Wang, Xiao-Lin, Bose, Indranil, Ng, Kam K. H., Zhang, Xiaoning, Zhang, Xiaoge
Accurate and reliable prediction has profound implications to a wide range of applications. In this study, we focus on an instance of spatio-temporal learning problem--traffic prediction--to demonstrate an advanced deep learning model developed for m
Externí odkaz:
http://arxiv.org/abs/2408.13293
This study employs percolation theory to investigate the hierarchical organisation of Australian urban centres through the connectivity of their road networks. The analysis demonstrates how discrete urban clusters have developed into integrated regio
Externí odkaz:
http://arxiv.org/abs/2408.09054
Phase-only compressed sensing (PO-CS) is concerned with the recovery of structured signals from the phases of complex measurements. Recent results show that structured signals in the standard sphere $\mathbb{S}^{n-1}$ can be exactly recovered from co
Externí odkaz:
http://arxiv.org/abs/2408.06275
Reduced biquaternion (RB), as a four-dimensional algebra highly suitable for representing color pixels, has recently garnered significant attention from numerous scholars. In this paper, for color image processing problems, we introduce a concept of
Externí odkaz:
http://arxiv.org/abs/2408.05582
A novel wireless transmission scheme, as named the reconfigurable intelligent surface (RIS)-assisted received adaptive spatial modulation (RASM) scheme, is proposed in this paper. In this scheme, the adaptive spatial modulation (ASM)-based antennas s
Externí odkaz:
http://arxiv.org/abs/2407.06894
Data valuation has garnered increasing attention in recent years, given the critical role of high-quality data in various applications, particularly in machine learning tasks. There are diverse technical avenues to quantify the value of data within a
Externí odkaz:
http://arxiv.org/abs/2405.17464
The cross-channel deblurring problem in color image processing is difficult to solve due to the complex coupling and structural blurring of color pixels. Until now, there are few efficient algorithms that can reduce color infection in deblurring proc
Externí odkaz:
http://arxiv.org/abs/2405.12114
Autor:
Dupletsa, Ulyana, Harms, Jan, Ng, Ken K. Y., Tissino, Jacopo, Santoliquido, Filippo, Cozzumbo, Andrea
Fisher-matrix methods are widely used to predict how accurately parameters can be estimated. Being computationally efficient, this approach is prompted by the large number of signals simulated in forecast studies for future gravitational-wave (GW) de
Externí odkaz:
http://arxiv.org/abs/2404.16103
Autor:
Lin, Xue-Lei, Ng, Michael K.
In this paper, we study a $\tau$-matrix approximation based preconditioner for the linear systems arising from discretization of unsteady state Riesz space fractional diffusion equation with non-separable variable coefficients. The structure of coeff
Externí odkaz:
http://arxiv.org/abs/2404.11390