Results 51 to 60 of about 564,243 (186)

A Rapid Convergent Low Complexity Interference Alignment Algorithm for Wireless Sensor Networks

Sensors, 2015
Interference alignment (IA) is a novel technique that can effectively eliminate the interference and approach the sum capacity of wireless sensor networks (WSNs) when the signal-to-noise ratio (SNR) is high, by casting the desired signal and interference
Lihui Jiang, Zhilu Wu, Guanghui Ren, Gangyi Wang, Nan Zhao   +4 more
doaj   +1 more source

A gradient-based iterative algorithm for solving coupled Lyapunov equations of continuous-time Markovian jump systems

Automatika, 2019
In this paper, a new gradient-based iterative algorithm is proposed to solve the coupled Lyapunov matrix equations associated with continuous-time Markovian jump linear systems.
Wang Kun, Liu Yaqiu, Zhao Huaqi
doaj   +1 more source

Replacing iterative algorithms with single-pass algorithms [PDF]

Proceedings of the National Academy of Sciences, 2001
Consider the rather mundane question: what is the distance from point A to point B? Of course, in Euclidean geometry, the answer is trivial, but what if A and B are cities, and we are taking ground transportation? Seeking the optimal path is now more challenging because we must consider terrain conditions.
openaire   +2 more sources

Hybrid Precoding Technique With Iterative Algorithm for MIMO-OFDM System

IEEE Access, 2020
This paper proposes a hybrid precoding technique based on multiple-input multiple-output orthogonal frequency division multiplexing (MIMO-OFDM) system to improve bit error rate (BER) performance in hybrid beamforming system.
Seulgi Lee, Won-Seok Lee, Jae-Hyun Ro, Young-Hwan You, Hyoung-Kyu Song   +4 more
doaj   +1 more source

Fixed points of a new class of pseudononspreading mappings

Annals of the West University of Timisoara: Mathematics and Computer Science, 2019
We extend the notion of k-strictly pseudononspreading mappings introduced in Nonlinear Analysis 74 (2011) 1814-1822 to the notion of the more general pseudononspreading mappings.
Osilike M. O., Isiogugu F. O., Nwokoro P. U., Chima E. E., Oguguo O. U.   +4 more
doaj   +1 more source

Convergence of Some Iterative Algorithms for System of Generalized Set-Valued Variational Inequalities

Journal of Function Spaces, 2021
In this article, we consider and study a system of generalized set-valued variational inequalities involving relaxed cocoercive mappings in Hilbert spaces. Using the projection method and Banach contraction principle, we prove the existence of a solution
M. Akram, Aysha Khan, M. Dilshad
doaj   +1 more source

Maiter: An Asynchronous Graph Processing Framework for Delta-based Accumulative Iterative Computation [PDF]

, 2017
Myriad of graph-based algorithms in machine learning and data mining require parsing relational data iteratively. These algorithms are implemented in a large-scale distributed environment in order to scale to massive data sets.
Gao, Lixin, Gao, Qixin, Wang, Cuirong, Zhang, Yanfeng   +3 more
core  

Channel, Phase Noise, and Frequency Offset in OFDM Systems: Joint Estimation, Data Detection, and Hybrid Cramer-Rao Lower Bound

, 2014
Oscillator phase noise (PHN) and carrier frequency offset (CFO) can adversely impact the performance of orthogonal frequency division multiplexing (OFDM) systems, since they can result in inter carrier interference and rotation of the signal ...
Durrani, Salman, Kennedy, Rodney A., Mehrpouyan, Hani, Nasir, Ali A., Salim, Omar H., Xiang, Wei   +5 more
core   +1 more source

Constrained ${\rm T}p{\rm V}$ Minimization for Enhanced Exploitation of Gradient Sparsity: Application to CT Image Reconstruction

IEEE Journal of Translational Engineering in Health and Medicine, 2014
Exploiting sparsity in the image gradient magnitude has proved to be an effective means for reducing the sampling rate in the projection view angle in computed tomography (CT).
Emil Y. Sidky, Rick Chartrand, John M. Boone, Xiaochuan Pan   +3 more
doaj   +1 more source

Maximum Likelihood Estimation in Gaussian Chain Graph Models under the Alternative Markov Property

, 2005
The AMP Markov property is a recently proposed alternative Markov property for chain graphs. In the case of continuous variables with a joint multivariate Gaussian distribution, it is the AMP rather than the earlier introduced LWF Markov property that is
Druzdzel M. J., Edwards D. M., Frydenberg M., Hojsgaard S., Kass R. E., Lauritzen S. L., Lauritzen S. L., Ostrowski A. M., Speed T. P., Wermuth N., Whittaker J., Zangwill W. I.   +11 more
core   +1 more source