Results 221 to 230 of about 60,956 (265)
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Sensor placement in optimal filtering and smoothing problems
IEEE Transactions on Automatic Control, 1982The problem of sensor placement for optimal filtering and smoothing problems is considered. Matrix equations are derived that relate individual changes in sensor locations to changes in the covariance matrix. These gradient matrices are used in formulating a design procedure that seeks the optimal sensor location for a particular estimation problem ...
A ARBEL
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Designing Optimal Spectral Filters for Inverse Problems
SIAM Journal on Scientific Computing, 2011Summary: Spectral filtering suppresses the amplification of errors when computing solutions to ill-posed inverse problems; however, selecting good regularization parameters is often expensive. In many applications, data are available from calibration experiments. In this paper, we describe how to use such data to precompute optimal spectral filters. We
Julianne Chung +2 more
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Exact and Approximate Algorithms for the Filter Design Optimization Problem
IEEE Transactions on Signal Processing, 2015zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Levent Aksoy +2 more
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1993
This chapter discusses the power and utility of the polynomial approach in the area of signal processing and communications. Minimisation of mean-square error criteria by linear filters will be considered. We shall focus on the optimisation of realisable discrete-time IIR-filters, to be used for prediction, filtering or smoothing of signals. Stochastic
A. Ahlen, M. Sternad
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This chapter discusses the power and utility of the polynomial approach in the area of signal processing and communications. Minimisation of mean-square error criteria by linear filters will be considered. We shall focus on the optimisation of realisable discrete-time IIR-filters, to be used for prediction, filtering or smoothing of signals. Stochastic
A. Ahlen, M. Sternad
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On the optimal filtering problem for the cubic sensor
Circuits, Systems, and Signal Processing, 1988We consider the problem of optimal filtering of a scalar diffusion process measured by a monotone nonlinear sensor in a low-noise channel. The specific sensors considered are of the form \(h_ n(x)=| x|^ nsgn(x)\). This case represents a wide class of sensors with a critical inflection point,since it is the leading term in Taylor's expansion of the ...
Steinberg, Y. +2 more
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Stochastic global optimization as a filtering problem
Journal of Computational Physics, 2012zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Second-Order Filtering Algorithm for Streaming Optimization Problems
2019 IEEE 8th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), 2019We consider the minimization of the sum of convex objectives with overlapping decision variables. These types of objectives occur in streaming signal reconstruction applications, where the observations of the signal occur in frames, and the loss functions for each frame are connected through overlapping basis functions.
Tomer Hamam, Justin Romberg
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Optimal filtering of a random background in image processing problems
Problems of Information Transmission, 2008We describe a recurrent construction procedure for mean-square optimal linear spatio-temporal filtering of a random background, which makes it possible to construct filtered frames using explicitly written compact analytical expressions.
Alexander V. Bernstein +1 more
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Theory of optimal nonlinear filtering in infocommunication's problems
East-West Design & Test Symposium (EWDTS 2013), 2013On the basis of the Markovian theory of an optimal nonlinear filtering in modified polygauss approximation a posteriori density of probability the task synthesis of optimal and analysis of quasioptimal algorithms of processing of complex signals, characteristic for highly effective systems of transmission of the digital messages on band-limited data ...
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On the optimal and suboptimal nonlinear filtering problem for discrete-time systems
IEEE Transactions on Automatic Control, 1977This paper examines optimal and sub-optimal algorithms for the state filtering problem in discrete time non-linear systems. The optimal equations of sequential filtering are analyzed and general conditions are obtained which ensure multimodal character for the a-posteriori densities.
Andrade Netto, M. L. +2 more
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