Results 21 to 30 of about 517,969 (263)
Consistency-based Air Target Height Estimation and Location in Distributed Space-based Radar Network
When single space-based radar tracks and detects air targets, problems such as missing pitch angle information and nonlinear measurement lead to large target height estimation errors. Multi-space-based radar networking can solve this problem.
Zengfu WANG +3 more
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Fault Detection of Resilient Navigation System Based on GNSS Pseudo-Range Measurement
Because of the resilient frame structure, the factor graph is often used in navigation systems to solve the sensor asynchrony problem and realize plug-and-play effectively in the navigation information fusion method.
Kecheng Sun +3 more
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AbstractFor integers a and b such that 0 ⩽ a ⩽ b, a graph G is called an [a, b]-graph if a ⩽ dG(x) ⩽ b for every vertex x of G and a factor F of a graph is called an [a, b]-factor if a ⩽ dF(x) ⩽ b for every vertex x of F. We prove the following theorems. Let 0 ⩽ l ⩽ k ⩽ r, 0 ⩽ s, 0 ⩽ u and 1 ⩽ t.
Mikio Kano, Akira Saito
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We propose the use of hyperedge replacement graph grammars for factor graphs, or factor graph grammars (FGGs) for short. FGGs generate sets of factor graphs and can describe a more general class of models than plate notation, dynamic graphical models, case-factor diagrams, and sum-product networks can.
David Chiang 0001, Darcey Riley
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Satellite Internet Network (SIN) will be the next heat issue in the ongoing research of 6G. The users need to keep operating handover between different beams or satellites in an extremely high frequency for the satellite to move at high speed in Low ...
Wenliang Lin +9 more
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Belief propagation decoding of quantum channels by passing quantum messages
The belief propagation (BP) algorithm is a powerful tool in a wide range of disciplines from statistical physics to machine learning to computational biology, and is ubiquitous in decoding classical error-correcting codes.
Joseph M Renes
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Message Passing-Based Inference for Time-Varying Autoregressive Models
Time-varying autoregressive (TVAR) models are widely used for modeling of non-stationary signals. Unfortunately, online joint adaptation of both states and parameters in these models remains a challenge.
Albert Podusenko +2 more
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Orthogonal factorizations of graphs
AbstractLet G be a graph with vertex set V(G) and edge set E(G). Let k1, k2,…,km be positive integers. It is proved in this study that every [0,k1+…+km−m+1]‐graph G has a [0, ki]1m‐factorization orthogonal to any given subgraph H with m edges. © 2002 Wiley Periodicals, Inc.
Haodi Feng, Guizhen Liu
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Bayesian Feature Fusion Using Factor Graph in Reduced Normal Form
In this work, we investigate an Information Fusion architecture based on a Factor Graph in Reduced Normal Form. This paradigm permits to describe the fusion in a completely probabilistic framework and the information related to the different features are
Amedeo Buonanno +6 more
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Factorizations of properties of graphs
Summary: A property of graphs is any isomorphism closed class of simple graphs. For given properties of graphs \({\mathcal P}_1,{\mathcal P}_2,\dots, {\mathcal P}_n\) a vertex \(({\mathcal P}_1,{\mathcal P}_2,\dots,{\mathcal P}_n)\)-partition of a graph \(G\) is a partition \(\{V_1,V_2,\dots, V_n\}\) of \(V(G)\) such that for each \(i= 1,2,\dots, n ...
Izak Broere +3 more
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