搜索结果: 1-15 共查到“应用数学 networks”相关记录41条 . 查询时间(0.235 秒)
MAP SOURCE SEPARATION USING BELIEF PROPAGATION NETWORKS
MAP SOURCE SEPARATION BELIEF PROPAGATION NETWORKS
2015/9/29
In this paper we continue our treatment of source separation based on dynamic sparse source signal models. Source signals are modeled in frequency domain as a product of a Bernoulli selection variable...
Energy-Efficient Resource Allocation in Wireless Networks with Quality-of-Service Constraints
Energy efficiency delay quality of service game theory Nash equilibrium power and rate control admission control cross-layer design
2015/9/29
A game-theoretic model is proposed to study the cross-layer problem of joint power and rate control with quality of service (QoS) constraints in multiple-access networks. In the proposed game, each us...
Abelian networks are systems of communicating automata satisfying a local commutativity condition. We show that a finite irreducible abelian network halts on all inputs if and only if all eigenvalues ...
The critical group of an abelian network is a finite abelian group that governs the behavior of the network on large inputs. It generalizes the sandpile group of a graph. We show that the critical gro...
In Dhar’s model of abelian distributed processors, finite automata occupy the vertices of a graph and communicate via the edges. A local commutativity condition ensures that the final output does not ...
Liu et al. have forged new links between control theory and network dynamics by focusing on the structural controllability of networks (Lui et al., Nature:473(7346), 167-173, 2011). Two main results i...
This paper introduces a general theoretical framework to analyze noise limited networks. More precisely, we consider two ho-mogenous Poisson point processes of base stations and users.
In this paper, we demonstrate some applications of compressive sensing over networks. We make a connection between compressive sensing and traditional information theoretic techniques in source coding...
Joint Unitary Triangularization for MIMO Networks
Joint Unitary Triangularization MIMO Networks
2011/2/24
This work considers communication networks where
individual links can be described as MIMO channels. Unlike orthogonal modulation methods (such as the singular-value decomposition),we allow interfere...
Dynamic Resource Coordination and Interference Management for Femtocell Networks
Dynamic Resource Coordination Interference Management Femtocell Networks
2011/1/17
Femtocell is emerging as a key technology to secure the coverage and capacity in indoor environments. However the deployment of a new femtocell layer may originate undesired interference to the whole ...
Compressed Neighbor Discovery for Wireless Networks
Compressed Neighbor Discover Wireless Networks
2011/3/2
This paper studies the problem of neighbor discovery in wireless networks, namely, each node wishes to discovery and identify the network interface address (NIA) of those nodes within a single hop.
Quality of Source Location Protection in Globally Attacked Sensor Networks
Quality of Source Location Protection Globally Attacked Sensor Networks
2011/3/2
We propose an efficient scheme for generating fake network traffic to disguise the real event notification in the presence of a global eavesdropper, which is especially relevant for the quality of ser...
Exponential stability of stochastic fuzzy Hopfield neural networks with time-varying delays and impulses
Stochastic Fuzzy Hopfield neural networks
2010/9/20
In this paper, the model of stochastic fuzzy Hopfield neural networks with time-varying delays and impulses (ISFVDHNNs) is established as a modified Takagi-Sugeno (TS) fuzzy model in which the consequ...
Wavelet neural networks for nonlinear time series analysis
Non Stationary-nonlinear Time Series Wavelet Networks
2010/9/27
A wavelet network is an important tool for analyzing time series especially when it is nonlinear and non-stationary. It takes advantage of high resolution of wavelets and learning and feed forward nat...
The widespread relevance of increasingly complex networks requires methods to extract mean-
ingful coarse-grained representations of such systems. For undirected graphs, standard community detection ...