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MAP SOURCE SEPARATION USING BELIEF PROPAGATION NETWORKS
MAP SOURCE SEPARATION BELIEF PROPAGATION NETWORKS
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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
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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 II.HALTING ON ALL INPUTS
ABELIAN NETWORKS HALTING ON ALL INPUTS
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2015/8/14
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 ...
ABELIAN NETWORKS III.THE CRITICAL GROUP
ABELIAN NETWORKS CRITICAL GROUP
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2015/8/14
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...
ABELIAN NETWORKS:FOUNDATIONS AND EXAMPLES
ABELIAN NETWORKS FOUNDATIONS EXAMPLES
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2015/8/14
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 ...
Controllability of Real Networks
Real Networks Controllability new links Liu et al
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2011/7/7
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...
On noise limited cellular networks
Poisson point process cellular network outage capacity
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2011/1/19
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.
Compressive Sensing Over Networks
Compressive Sensing Networks
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2011/1/18
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
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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
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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
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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
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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
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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
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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...
Role-based similarity in directed networks
Role-based similarity directed networks
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2010/12/28
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 ...