Results 241 to 250 of about 957,847 (295)

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, C.T.-C. Nguyen, R.T. Howe, A.P. Pisano   +3 more
openaire   +1 more source

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.
Rizwan Qureshi, Muhammad Uzair, Khurram Khurshid   +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
H. Rantanen, M. Karlsson, P. Pohjala, S. Kalli   +3 more
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Filter morphing for audio signal processing

Proceedings of 1995 Workshop on Applications of Signal Processing to Audio and Accoustics, 2002
The coefficient encoding scheme called "ARMAdillo" for a second order direct form digital filter was previously proposed. We examine the behavior of a second order digital filter, whose coefficients are encoded using the ARMAdillo scheme, when it morphs from one frame to another.
null Yinong Ding, D. Rossum
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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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Kriging filters for multidimensional signal processing

Signal Processing, 2005
The Wiener filter is the well-known solution for linear minimum mean square error (LMMSE) signal estimation. This filter assumes the mean to be known and usually constant. On the other hand, the Kriging filter is an incremental theory, developed within the Geostatistical community, with respect to that of Wiener filters.
Ruiz-Alzola, J., Alberola-López, C., Westin, C. F.   +2 more
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Vortex signal model based Kalman filter of vortex signal processing method

Review of Scientific Instruments, 2022
To improve the performance of the vortex flowmeter, a vortex signal model based Kalman filter of the vortex signal processing method is proposed. According to the characteristics of the vortex signal, a linear vortex signal model is designed. Combining the fuzzy search and iterative algorithm, the Kalman filter algorithm is improved by analyzing the ...
Jie Chen, Zhen-Yu Hou, Bin Li, Si-Cheng Wang   +3 more
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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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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 Can Aysal, Kenneth E. Barner
openaire   +1 more source