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Optimality of the Median Filtering Operator
Circuits, Systems, and Signal Processing, 2011zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Optimal decentralized Kalman filter and Lainiotis filter
Digital Signal Processing, 2013A method to implement the optimal decentralized Kalman filter and the optimal decentralized Lainiotis filter is proposed; the method is based on the a priori determination of the optimal distribution of measurements into parallel processors, minimizing the computation time.
Nicholas D. Assimakis +4 more
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Robustness of optimal binary filters
Journal of Electronic Imaging, 1998An optimal filter estimates an unobserved ideal image from an observed image. Optimality is with respect to some error criterion, which is mean absolute error for the binary images. Both the ideal and observed images are random sets and these are governed by parameterized probability laws.
Artyom M. Grigoryan, Edward R. Dougherty
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1967
A formal survey of nonlinear filtering with emphasis on some ad hoc truncation schemes.
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A formal survey of nonlinear filtering with emphasis on some ad hoc truncation schemes.
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Optimal filtering for multirate systems
IEEE Transactions on Circuits and Systems II: Express Briefs, 2005For a multirate system where the output sampling is slower than the input updating, this brief aims at designing filters for fast state estimation in the H/sub 2/ and H/sub /spl infin// settings. Because of the multirate nature, linear matrix inequality solutions to the design problems involve a nonconvex constraint, which is numerically tackled by the
Jie Sheng, Tongwen Chen, Sirish L. Shah
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Optimal real correlation filters
Applied Optics, 1991Expressions are derived for real filters that have a maximum correlation signal to noise ratio. Both continuous and discrete cases are treated and shown to have similar forms. The signal can be complex, and the case of a real signal is considered and related to previous results.
R D, Juday, B V, Kumar, P K, Rajan
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Optimal filtering in the subband domain
1995 International Conference on Acoustics, Speech, and Signal Processing, 2002An analytical framework for the implementation of optimal filters in the multiresolution (i.e., subband) domain is presented. In particular, we concentrate on filter bank based on the notions of wavelets and wave-packets. We show how the notion of sparse estimation can lead to significant reduction in computational cost, with only a minor degradation ...
Hong Liu, Hanoch Lev-Ari
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2004 IEEE International Symposium on Circuits and Systems (ISCAS), 2004
This paper presents an analytical method for the design of interpolated finite impulse response (IFIR) digital filters. The problem of determining the optimum "stretch factor" L is specifically addressed, as is the optimal determination of multiple stretch factors for generalized IFIR designs where the minimum number of multipliers is sought.
Alireza Mehrnia, Alan N. Willson Jr.
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This paper presents an analytical method for the design of interpolated finite impulse response (IFIR) digital filters. The problem of determining the optimum "stretch factor" L is specifically addressed, as is the optimal determination of multiple stretch factors for generalized IFIR designs where the minimum number of multipliers is sought.
Alireza Mehrnia, Alan N. Willson Jr.
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Optimal Queries in Information Filtering
2000Information filtering has become an important component of modern information systems due to significant increase in its applications. The objective of an information filtering is to classify/categorize documents as they arrive into the system. In this paper, we investigate an information filtering method based on steepest descent induction algorithm ...
Ali H. Alsaffar +2 more
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2001
Nomenclature A Hessian matrix c scalar constant d(n) desired signal e(n) error signal E expectation operator U(m) Discrete step function v(n) white-noise signal x(n) reference ...
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Nomenclature A Hessian matrix c scalar constant d(n) desired signal e(n) error signal E expectation operator U(m) Discrete step function v(n) white-noise signal x(n) reference ...
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