Results 231 to 240 of about 38,654 (260)
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2001
Using the framework of the message-passing algorithm, Section 1. introduces the forward-backward algorithm (FBA) for decoding on trellises, in which messages flow in both directions along a linear graph. This algorithm can be used for the decoding of channels with memory and convolutional codes. Section 2. describes some common configurations for turbo
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Using the framework of the message-passing algorithm, Section 1. introduces the forward-backward algorithm (FBA) for decoding on trellises, in which messages flow in both directions along a linear graph. This algorithm can be used for the decoding of channels with memory and convolutional codes. Section 2. describes some common configurations for turbo
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A New Forward Backward Auction Algorithm
1998In this paper we consider the problem of finding a shortest path from a source node to a fixed target node on a directed graph. An algorithm which improves the convergence of the known forward-backward auction algorithm is presented. Numerical examples are reported in order to show the effectiveness of the method.
CERULLI, Raffaele +2 more
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A forward-backward algorithm for decomposable semi-definite programs
2020 28th Mediterranean Conference on Control and Automation (MED), 2020We present semi-decentralized and distributed algorithms, designed via a preconditioned forward-backward operator splitting, for solving large-scale, decomposable semi-definite programs (SDPs). We exploit a chordal aggregate sparsity pattern assumption on the original SDP to obtain a set of mutually coupled SDPs defined on positive semidefinite (PSD ...
Fabiani, Filippo, Grammatico, Sergio
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Fusion Forward–Backward Pursuit Algorithm for Compressed Sensing
International Journal of Wireless Information Networks, 2017The Forward–Backward Pursuit (FBP), which is a recently proposed method, receives wide attention due to the high reconstruction accuracy. In this paper, we use the fusion strategy and propose the Fusion Forward–Backward Pursuit (FFBP) algorithm. This strategy only needs the reconstruction information of two FBP with different parameters.
Feng Wang +3 more
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Numerical Algorithms for Forward-Backward Stochastic Differential Equations
SIAM Journal on Scientific Computing, 2006Efficient numerical algorithms are proposed for a class of forward-backward stochastic differential equations (FBSDEs) connected with semilinear parabolic partial differential equations. As in [J. Douglas, Jr., J. Ma, and P. Protter, Ann. Appl. Probab., 6 (1996), pp.
G. N. Milstein, Michael V. Tretyakov
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Ship Recognition Based on Improved Forwards-Backwards Algorithm
2009 Sixth International Conference on Fuzzy Systems and Knowledge Discovery, 2009Classical Forwards-Backwards (FB) algorithm can only be used to compute the input evidences with a single state. In order to break through its limitation, we presented a kind of improved FB algorithm to compute evidences with a single or more states, which generalized classical FB algorithm. First, we deduced the improved FB algorithm, then constructed
Haiyang Chen 0004, Xiaoguang Gao 0001
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On the locality of the forward-backward algorithm (speech recognition)
IEEE Transactions on Speech and Audio Processing, 1993A theorem which shows that the local maximum found by the forward-backward algorithm in the case of discrete hidden Markov models is really local is presented. By this it is meant that this local maximum is restricted to lie in the same connected component of the set (x:P(x)>or=P(x/sub 0/)) as the initial point x/sub 0/ (where P(x) is the polynomial ...
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Forward-backward pursuit algorithm for Cerenkov luminescence tomography
2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2016Cerenkov luminescence tomography (CLT) is a powerful imaging technique that allows dynamically and three-dimensionally resolving the metabolic process of radiopharmaceuticals. It uses optical method to detect radiopharmaceuticals with low cost and high sensitivity.
Haixiao Liu +3 more
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Inertial Forward–Backward Algorithms with Perturbations: Application to Tikhonov Regularization
Journal of Optimization Theory and Applications, 2018zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Attouch, Hedy +3 more
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Asymptotic Convergence Analysis of the Forward-Backward Splitting Algorithm
Mathematics of Operations Research, 1995The asymptotic convergence of the forward-backward splitting algorithm for solving equations of type 0 ∈ T(z) is analyzed, where T is a multivalued maximal monotone operator in the n-dimensional Euclidean space. When the problem has a nonempty solution set, and T is split in the form T = ℱ + h with ℱ being maximal monotone and h being co-coercive with
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