Results 261 to 270 of about 317,902 (310)
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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 ...
Tuncer C. Aysal, Kenneth E. Barner
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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   +1 more
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Quadratic filters for signal processing

Proceedings of the IEEE, 1992
Polynomial (or Volterra) filters are introduced, and the quadratic filters are presented as the simplest example of such filters. The principle aspects and properties of quadratic filters are derived in the framework of the discrete Volterra expansion. Fixed as well as adaptive filters are considered in one-dimensional and multidimensional environments.
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Analog signal processing/filtering

IEEE Photonic Society 24th Annual Meeting, 2011
Optics has the potential to solve some of the most exciting problems in information systems. It promises crosstalk-free interconnects with essentially unlimited bandwidth, long-distance data transmission without skew and without power- and time-consuming regeneration, miniaturization, parallelism, and efficient implementation of important algorithms ...
Y. Fainman   +7 more
openaire   +1 more source

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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Signal processing by function elimination filters

ICASSP '76. IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005
In many applications of signal processing (in areas of communication, pattern recognition, measurement) it is necessary to detect (or classify) the signals in the absence of certain a priori information about its parameters. One of the effective methods of solving such problems - the Function Filtration Method - is discussed.
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Microelectromechanical filters for signal processing

[1992] Proceedings IEEE Micro Electro Mechanical Systems, 1992
Microelectromechanical filters based on coupled lateral microresonators are demonstrated. This new class of microelectromechanical systems (MEMS) has potential signal-processing applications for filters which require narrow bandwidth (high Q), good signal-to-noise ratio, and stable temperature and aging characteristics.
L. Lin   +3 more
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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   +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   +2 more
openaire   +2 more sources

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