Results 261 to 270 of about 260,245 (315)

The magnitude and time course of pre-saccadic foveal prediction depend on the conspicuity of the saccade target. [PDF]

Elife
Kroell LM, Rolfs M.
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Fibre Bragg Grating Wavelength Shift Demodulation with Filtering and Enhancement of Spectra by Simple Nonlinear Signal Processing

Sławomir Cięszczyk, Patryk Panas, Krzysztof Skorupski, Marek Kida   +3 more
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Continuous wave mud pulse data transmission method based on continuous gradation frequency keying modulation and Convolution neural network demodulation. [PDF]

Sci Rep
Zhu Y, Xia Z, Yang Y, Zhu C, Cai G, Hu S, Wang J.   +6 more
europepmc   +1 more source

Methods of temporal signal processing in an adaptive transversal filter

V. Semenov
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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.
Liwei Lin, Roger T. Howe, Clark T.-C. Nguyen, Albert P. Pisano   +3 more
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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 ...
Steve Zamek, Dawn T. H. Tan, Yeshaiahu Fainman, Boris Slutsky, L. Fang, Maziar P. Nezhad, Andrew Grieco, Kazuhiro Ikeda   +7 more
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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.
Carl-Fredrik Westin, Juan Ruiz-Alzola, Carlos Alberola-López   +2 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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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.
D. Rossum, Yinong Ding
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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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