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DYNAMIC PROGRAMMING, SEQUENTIAL ESTIMATION AND SEQUENTIAL DETECTION PROCESSES [PDF]
Proceedings of the National Academy of Sciences, 1961 Abstract : Some general sequential estimation and sequential detection processes are provided with an analytical formulation through use of the functional equation technique of dynamic programming. Some reductions which are useful from the computational viewpoint are indicated, and several applications to radar and communication system theory are ...
Bellman, Richard +2 more
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The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2019 Most existing lidar odometry estimation strategies are formulated under a standard framework that includes feature selection, and pose estimation through feature matching.
Q. Li +8 more
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Enhanced MPPT method based on ANN-assisted sequential Monte–Carlo and quickest change detection
IET Smart Grid, 2019 The performance of a photovoltaic system is subject to varying environmental conditions, and it becomes more challenging to track the maximum power point (MPP) and maintain the optimal performance when partial shading occurs.
Leian Chen, Xiaodong Wang
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Probability hypothesis density filtering for real-time traffic state estimation and prediction [PDF]
, 2013 The probability hypothesis density (PHD) methodology is widely used by the research community for the purposes of multiple object tracking. This problem consists in the recursive state estimation of several targets by using the information coming from an
Mihaylova, Lyudmila +9 more
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IET Radar, Sonar & Navigation, 2021 Parameter estimation for space‐time adaptive processing (STAP) usually encounters conflicts between estimation accuracy and algorithmic computation complexity in practical applications.
Bin Li, Lei Lu, Chengwei Zhou
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SMCTC : sequential Monte Carlo in C++ [PDF]
, 2009 Sequential Monte Carlo methods are a very general class of Monte Carlo methods for sampling from sequences of distributions. Simple examples of these algorithms are used very widely in the tracking and signal processing literature.
Johansen, Adam M., Adam M. Johansen
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PN Sequence Preestimator Scheme for DS-SS Signal Acquisition Using Block Sequence Estimation
EURASIP Journal on Advances in Signal Processing, 2005 An m-sequence (PN sequence) preestimator scheme for direct-sequence spread spectrum (DS-SS) signal acquisition by using block sequence estimation (BSE) is proposed and analyzed.
Sang Kyu Park +2 more
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Sequential Sampling and Estimation of Approximately Bandlimited Graph Signals
Sensors, 2021 Graph signal sampling has been widely studied in recent years, but the accurate signal models required by most of the existing sampling methods are usually unavailable prior to any observations made in a practical environment. In this paper, a sequential
Sijie Lin, Ke Xu, Hui Feng, Bo Hu
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Particle methods for maximum likelihood estimation in latent variable models [PDF]
, 2008 Standard methods for maximum likelihood parameter estimation in latent variable models rely on the Expectation-Maximization algorithm and its Monte Carlo variants.
Davy, Manuel +8 more
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Journal of the Royal Statistical Society Series B: Statistical Methodology, 1953 Summary The literature on sequential estimation is reviewed, with special reference to inverse binomial sampling, double sampling, and asymptotic theory. An approximate distribution for the sample size is found for a certain type of sequential sampling rule, in which a cumulative sum of independent random variables all having the same ...
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