Results 221 to 230 of about 303,161 (264)

Discrete signal processing on graphs: Graph filters

2013 IEEE International Conference on Acoustics, Speech and Signal Processing, 2013
We propose a novel discrete signal processing framework for structured datasets that arise from social, economic, biological, and physical networks. Our framework extends traditional discrete signal processing theory to datasets with complex structure that can be represented by graphs, so that data elements are indexed by graph nodes and relations ...
Aliaksei Sandryhaila, José M. F. Moura
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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
H. Rantanen, M. Karlsson, P. Pohjala, S. Kalli   +3 more
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Adaptive L-filters with applications in signal and image processing

Signal Processing, 1994
Les filtres de statistique d'ordre (L-filtres) adaptatifs bases sur des statistiques locales des signaux sont introduits dans cet article. De tels estimateurs sont particulierement effectifs pour le filtrage de signaux corrompus par plus d'un type de bruit, par exemple un bruit blanc additif plus des impulsions.
Tong Sun 0002, Moncef Gabbouj, Yrjö Neuvo   +2 more
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Processing arbitrary-length signals with MDFT filter banks

1996 IEEE International Conference on Acoustics, Speech, and Signal Processing Conference Proceedings, 2002
In this paper, methods for processing arbitrary-length input signals with MDFT filter banks are presented. The MDFT filter bank can be regarded as the most general type of a special class of filter banks. These filter banks have linear phase analysis filters, but different centers of symmetry due to subsampling with and without a phase shift.
Karp, Tanja, Mertins, Alfred, Fliege, Norbert J., Kliewer, Jörg   +3 more
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Neural filtering method for stationary signal processes

Artificial Life and Robotics, 1997
In this paper a new method of neural filtering using artificial neural network systems is presented for the filtering problems of linear and nonlinear, stationary and nonstationary stochastic signals. The neural filter (denoted neurofilter) developed in this paper has either finite impulse response (FIR) structure or infinite impulse response (IIR ...
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Filter in Graph Signal Processing

In Signal Processing a Filter is a device or process that removes or suppresses some unwanted components or features from a signal. Most often this means removing some frequencies or frequency bands; however, many other targets for filtering exist.
Dhanya E, Gigi Thomas, Jill Mathew K
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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
K.N. Plataniotis, A.N. Venetsanopoulos
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Optical signal processing with illumination-encoded filters

Computer Vision and Image Understanding, 2011
Recently, computer vision researchers have shown that orthogonal functions and computational techniques from the signal processing framework can be mapped directly into the scene using projector-camera systems. These scene-space signal processing algorithms are achieved with illumination-encoded functions as primitives and computations derived from ...
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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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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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