Results 221 to 230 of about 160,246 (263)

An Optimization Method for Cascaded Filters

Bell System Technical Journal, 1970
Summary: This paper presents a procedure for decomposing an \(n\)th order filter into cascadable second order sections. The procedure is optimal in that it minimizes the maximal response range for the sections within the frequency band of interest. The procedure, based on a modified version of the Bottleneck Assignment Algorithm, describes methods of ...
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Optimal Nonlinear Filtering

1967
A formal survey of nonlinear filtering with emphasis on some ad hoc truncation schemes.
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Optimal decentralized Kalman filter and Lainiotis filter

Digital Signal Processing, 2013
A 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, Maria Adam, Maria G. Koziri, Stamatis Voliotis, Konstantinos Asimakis   +4 more
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Optimal real correlation filters

Applied Optics, 1991
Expressions 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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H2 Optimal Robust Filtering

European Journal of Control, 2006
In this paper, a design procedure for H 2 optimal robust filtering is presented. The robust filter is determined from the equilibrium solution of a minimax programming problem where the H 2 norm of the estimation error is maximized with respect to the feasible uncertainties and minimized with respect to all full order, linear, rational and causal ...
José Claudio Geromel, Luiz A. V. Regis Filho   +1 more
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Optimal filtering for multirate systems

IEEE Transactions on Circuits and Systems II: Express Briefs, 2005
For 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 cumulant domain filtering

Proceedings of the 1998 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '98 (Cat. No.98CH36181), 2002
This paper presents a new technique which exploits constrained optimization methods to derive optimal two dimensional filters in the cumulant domain for processing signals in non-Gaussian noise, or signals with corrupting interferences which have non-symmetrical probability density functions. The approach proposed for enhancing signals in such noise is
Roy Chapman, Tariq S. Durrani
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Code Optimization for Packet Filters

2007 International Symposium on Applications and the Internet Workshops, 2007
Packet filters play an essential role for network traffic/security management in today's Internet. To make software-based packet filters so fast that could work even in suffering from DOS attacks, the authors are challenging to effectively combine both the higher-level optimization relating to algorithmic structure adapted to the input packet sequence ...
Yoshiyuki Yamashita, Masato Tsuru 0001
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Robustness of optimal binary filters

Journal of Electronic Imaging, 1998
An 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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Optimal Factoring of FIR Filters

IEEE Transactions on Signal Processing, 2015
New insights suggest that the most efficient FIR digital filters can be created by using a scaled sequence of stages, each representing a factor of the filter's transfer function. A crucial capability for building such filters concerns finding the best FIR filter factors, then carefully scaling and sequencing them.
Alireza Mehrnia, Alan N. Willson Jr.
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