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Добірка наукової літератури з теми "SQUARE FILTER"

Автор: Grafiati

Опубліковано: 11 вересня 2023

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Статті в журналах з теми "SQUARE FILTER"

1

Nerger, Lars, Tijana Janjić, Jens Schröter, and Wolfgang Hiller. "A Unification of Ensemble Square Root Kalman Filters." Monthly Weather Review 140, no. 7 (2012): 2335–45. http://dx.doi.org/10.1175/mwr-d-11-00102.1.

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Abstract In recent years, several ensemble-based Kalman filter algorithms have been developed that have been classified as ensemble square root Kalman filters. Parallel to this development, the singular “evolutive” interpolated Kalman (SEIK) filter has been introduced and applied in several studies. Some publications note that the SEIK filter is an ensemble Kalman filter or even an ensemble square root Kalman filter. This study examines the relation of the SEIK filter to ensemble square root filters in detail. It shows that the SEIK filter is indeed an ensemble square root Kalman filter. Furth

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2

Matei, Radu. "Design of Adjustable Square-Shaped 2D IIR Filters." ISRN Signal Processing 2013 (September 11, 2013): 1–10. http://dx.doi.org/10.1155/2013/796830.

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This paper proposes an analytical design method for two-dimensional square-shaped IIR filters. The designed 2D filters are adjustable since their bandwidth and orientation are specified by parameters appearing explicitly in the filter matrices. The design relies on a zero-phase low-pass 1D prototype filter. To this filter a frequency transformation is next applied, which yields a 2D filter with the desired square shape in the frequency plane. The proposed method combines the analytical approach with numerical approximations. Since the prototype transfer function is factorized into partial func

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3

Tengger, Billy Arifa, and Ropiudin Ropiudin. "Pemanfaatan Metode Kalman Filter Diskrit untuk Menduga Suhu Udara." Square : Journal of Mathematics and Mathematics Education 1, no. 2 (2019): 127. http://dx.doi.org/10.21580/square.2019.1.2.4202.

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Suhu adalah variabel fisik yang perlu diketahui secara tepat untuk penggunaan tertentu. Suhu adalah derajat panas dan dingin suatu benda. Derajat panas dan dingin ini dipengaruhi oleh enthalpi (energi) yang dimilki suatu zat. Pendugaan suhu udara dapat memberikan manfaat untuk aktivitas pada beberapa bidang, seperti: pertanian, peternakan, perikanan, kesehatan, dan kegiatan-kegiatan lainnya. Metode Kalman Filter Diskrit merupakan salah satu metode matematika yang dapat digunakan untuk menduga data di masa yang akan datang. Kalman Filter Diskrit memiliki keunggulan mampu menduga suatu kondisi b

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4

Huang, Yulong, Yonggang Zhang, Ning Li, and Lin Zhao. "Improved square-root cubature information filter." Transactions of the Institute of Measurement and Control 39, no. 4 (2016): 579–88. http://dx.doi.org/10.1177/0142331215608428.

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In this paper, a theoretical comparison between existing the sigma-point information filter (SPIF) framework and the unscented information filter (UIF) framework is presented. It is shown that the SPIF framework is identical to the sigma-point Kalman filter (SPKF). However, the UIF framework is not identical to the classical SPKF due to the neglect of one-step prediction errors of measurements in the calculation of state estimation error covariance matrix. Thus SPIF framework is more reasonable as compared with UIF framework. According to the theoretical comparison, an improved cubature inform

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5

Yang, X., and T. DelSole. "The diffuse ensemble filter." Nonlinear Processes in Geophysics 16, no. 4 (2009): 475–86. http://dx.doi.org/10.5194/npg-16-475-2009.

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Abstract. A new class of ensemble filters, called the Diffuse Ensemble Filter (DEnF), is proposed in this paper. The DEnF assumes that the forecast errors orthogonal to the first guess ensemble are uncorrelated with the latter ensemble and have infinite variance. The assumption of infinite variance corresponds to the limit of "complete lack of knowledge" and differs dramatically from the implicit assumption made in most other ensemble filters, which is that the forecast errors orthogonal to the first guess ensemble have vanishing errors. The DEnF is independent of the detailed covariances assu

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6

Psiaki, Mark L. "The Square Root Information Increment Ensemble Filter." Monthly Weather Review 144, no. 12 (2016): 4667–86. http://dx.doi.org/10.1175/mwr-d-15-0295.1.

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Abstract A new type of ensemble filter is developed, one that stores and updates its state information in an efficient square root information filter form. It addresses two shortcomings of conventional ensemble Kalman filters: the coarse characterization of random forecast model error effects and the overly optimistic approximation of the estimation error statistics. The new filter uses an assumed a priori covariance approximation that is full rank but sparse, possibly with a dense low-rank increment. This matrix can be used to develop a nominal square root information equation for the system

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7

Altaf, M. U., T. Butler, T. Mayo, et al. "A Comparison of Ensemble Kalman Filters for Storm Surge Assimilation." Monthly Weather Review 142, no. 8 (2014): 2899–914. http://dx.doi.org/10.1175/mwr-d-13-00266.1.

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Abstract This study evaluates and compares the performances of several variants of the popular ensemble Kalman filter for the assimilation of storm surge data with the advanced circulation (ADCIRC) model. Using meteorological data from Hurricane Ike to force the ADCIRC model on a domain including the Gulf of Mexico coastline, the authors implement and compare the standard stochastic ensemble Kalman filter (EnKF) and three deterministic square root EnKFs: the singular evolutive interpolated Kalman (SEIK) filter, the ensemble transform Kalman filter (ETKF), and the ensemble adjustment Kalman fil

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8

Mu, Jing, Yuan Li Cai, and Jun Min Zhang. "Square Root Cubature Particle Filter." Advanced Materials Research 219-220 (March 2011): 727–31. http://dx.doi.org/10.4028/www.scientific.net/amr.219-220.727.

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The square root cubature particle filter (SRCPF) uses the square root cubature Kalman filter (SRCKF) for generating the proposal distribution. The SRCPF algorithm is easy to be implemented and has numerical stability. Moreover, the SRCKF based proposal distribution approximates the optimal importance distribution by incorporating the current measurement. Simulation results demonstrate that the SRCPF algorithm has the better performance for state estimation than the generic particle filter (GPF), extended particle filter (EPF) and unscented particle filter (UPF), and its calculation cost decrea

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9

Tödter, Julian, and Bodo Ahrens. "A Second-Order Exact Ensemble Square Root Filter for Nonlinear Data Assimilation." Monthly Weather Review 143, no. 4 (2015): 1347–67. http://dx.doi.org/10.1175/mwr-d-14-00108.1.

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Анотація:

Abstract The ensemble Kalman filter (EnKF) and its deterministic variants, mostly square root filters such as the ensemble transform Kalman filter (ETKF), represent a popular alternative to variational data assimilation schemes and are applied in a wide range of operational and research activities. Their forecast step employs an ensemble integration that fully respects the nonlinear nature of the analyzed system. In the analysis step, they implicitly assume the prior state and observation errors to be Gaussian. Consequently, in nonlinear systems, the analysis mean and covariance are biased, an

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10

Bastioli, Simone, Luca Marcaccioli, and Roberto Sorrentino. "Compact dual-mode rectangular waveguide filters using square ridge resonators." International Journal of Microwave and Wireless Technologies 1, no. 4 (2009): 241–47. http://dx.doi.org/10.1017/s1759078709990286.

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A new class of compact rectangular waveguide filters is proposed in this paper. The key element is a square ridge resonator realized within a rectangular waveguide supporting the fundamental TE10 mode. The square ridge can support two modes resonating along orthogonal directions in the gap between the ridge and the opposite waveguide wall. This structure enables dual-mode degeneracy without the need of oversized cavities, thus allowing for considerable size reduction with respect to the conventional dual-mode implementations. Different filter structures employing one or more ridges within shor

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