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Meridian Filtering for Robust Signal Processing

IEEE Transactions on Signal Processing, 2007
A broad range of statistical processes is characterized by the generalized Gaussian statistics. For instance, the Gaussian and Laplacian probability density functions are special cases of generalized Gaussian statistics. Moreover, the linear and median filtering structures are statistically related to the maximum likelihood estimates of location under ...
T.C. Aysal, Kenneth E. Barner
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Processing visual signals with nonlinear spatial filters

Journal of Mathematical Biology, 1977
The properties of nonlinear spatial filters as a major part of the peripheral nervous system are investigated with respect to processing of two types of signals: a deterministic stepfunction and Graussian noise. The nonlinearity of the nerve cell is treated as a threshold element.
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Adaptive filters for multichannel signal processing

1998 IEEE Symposium on Advances in Digital Filtering and Signal Processing. Symposium Proceedings (Cat. No.98EX185), 2002
The amount of research published to date indicates an increasing interest in the areas of multichannel signal processing. The availability of a wide set of multichannel information sources in application areas, such as color image processing, multispectral remote sensing imagery, biomedicine, robotics and industrial inspection have stimulated a renewed
Konstantinos N. Plataniotis   +1 more
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Signal Processing for Active Power Filters

2011
The paper describes special active power filter solution. There are given control algorithms and methods for the filter current regulation. Firstly, there is described power part structure of the filter with the resonant converter and general conception structure of the filter.
Petr Simonik, Pavel Brandstetter
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Nonlinear Signal Processing Vs. Kalman Filtering

1993 IEEE International Symposium on Circuits and Systems, 2002
A unique and powerful paradigm or methodology for the design of nonlinear dynamical systems and signal processing algorithms is reported. Some aspects of this approach are discussed, and the results of the application of this approach in signal estimation are given.
P.A. Ramamoorthy, A. Zavaljevski
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Audio signal processing with transversal filters

ICASSP '79. IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005
A brief introduction to transversal filters is given. Practical aspects of time-domain deconvolution are discussed. Experimental results are included which illustrate transversal-filter phase equalization of bandlimiting filters, analog magnetic recorders, and electroacoustic transducers. A few prospwzective applications are mentioned.
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Multistage Adaptive filter for ECG signal processing

2017 International Conference on Communication, Computing and Digital Systems (C-CODE), 2017
In this busy and competitive world, though we have a lot of affection with our parents and loved ones, we can not always be with them. The advancement in the field of information technology explores new paths for healthcare and E-health systems are becoming increasingly popular.
Khurram Khurshid   +2 more
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Adaptive Control, Filtering, and Signal Processing

1995
Oscillations in systems with relay feedback.- Compatibility of stochastic and worst case system identification: Least squares, maximum likelihood and general cases.- Some results for the adaptive boundary control of stochastic linear distributed parameter systems.- LMS is H?
Karl Johan Åström   +2 more
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Color video signal processing with median filters

IEEE Transactions on Consumer Electronics, 1992
Methods of applying median filtering for three-dimensional video signals were studied and are compared. Median operation and RGB- versus YUV-domain processing are discussed. An introduction to various ordering methods in median-based multidimensional filtering is given. The various 3-D median processing methods and the effect of the conversion from the
M. Karlsson   +3 more
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