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Digital filtering and signal processing [PDF]
Behavior Research Methods & Instrumentation, 1973 The design, realization, and some of the many uses of digital filters are reviewed. Computer programs coded in FORTRAN are presented for the design of lumped parameter digital and analog filter systems which are simulated on a digital computer. Explanations of the programs are accompanied by examples of their use.
Edward C. Carterette +2 more
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The Ensemble Kalman filter: a signal processing perspective [PDF]
EURASIP Journal on Advances in Signal Processing, 2017 The ensemble Kalman filter (EnKF) is a Monte Carlo-based implementation of the Kalman filter (KF) for extremely high-dimensional, possibly nonlinear, and non-Gaussian state estimation problems.
Michael Roth +3 more
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Graphon Filters: Graph Signal Processing in the Limit [PDF]
IEEE Transactions on Signal Processing, 2021 13 pages, 14 figures, submitted to Transactions on Signal Processing January 30th ...
Matthew W. Morency, Geert Leus
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Personalized Graph Signal Processing for Collaborative Filtering [PDF]
Proceedings of the ACM Web Conference 2023, 2023 The collaborative filtering (CF) problem with only user-item interaction information can be solved by graph signal processing (GSP), which uses low-pass filters to smooth the observed interaction signals on the similarity graph to obtain the prediction signals.
Jiahao Liu +6 more
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LUT Filters for Quantized Processing of Signals [PDF]
IEEE Transactions on Signal Processing, 2004 We introduce a method to perform filtering on approximations (quantized versions) of the input signal, which lends itself to a practical implementation solely based on look-up tables (LUTs). The LUT filter approximates the performance of some traditional nonlinear filters at a fraction of the cost. The filter is divided into an approximation stage that
R.L. de Queiroz, P.A. Stein
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Performance Analysis of Microwave Photonic Spectral Filters based on Optical Microcombs [PDF]
Advanced Physics ResearchMicrowave transversal filters, which are implemented based on the transversal filter structure in digital signal processing, offer a high reconfigurability for achieving a variety of signal processing functions without changing hardware. When implemented
Yang Li +10 more
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SSVEP-EEG Feature Enhancement Method Using an Image Sharpening Filter
IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2022 Steady-state visual evoked potential (SSVEP) is widely used in brain computer interface (BCI), medical detection, and neuroscience, so there is significant interest in enhancing SSVEP features via signal processing for better performance.
Wenqiang Yan +3 more
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One Signal-Noise Separation based Wiener Filter for Magnetogastrogram [PDF]
Published in IEEE Trans. Instrum. Meas.,vol. 74, pp. 1-11, 2025,
Art no. 4002511, 2023 Magnetogastrogram (MGG) signal frequency is about 0.05 Hz, the low-frequency environmental noise interference is serious and can be several times stronger in magnitude than the signals of interest and may severely impede the extraction of relevant information. Wiener filter is one classic denoising solution for biomagnetic applications.
arxiv +1 more source
0.5-V High-Order Universal Filter for Bio-Signal Processing Applications
Applied SciencesIn this paper, a novel multiple-input operational transconductance amplifier (MI-OTA) is proposed. The MI-OTA can be obtained by using the multiple-input bulk-driven MOS transistor (MIBD MOST) technique.
Montree Kumngern +3 more
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Features of the quasi-optimal discrete signal processing [PDF]
Радиофизика и электроника, 2019 Subject and Purpose. The subject of the research is a digital signal processing system of a radar, consisting of an input filter, an analog-to-digital converter and a processor that implements an algorithm for detecting of information signal in ...
O.V. Sytnik
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