Filter theory

Results: 2369



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241Electricity / Filter theory / Ripple / Load regulation / Capacitor / Power supplies / Analog circuits / Voltage regulator / Electromagnetism / Electronic engineering / Electrical engineering

MSAU200 SERIES DC/DC CONVERTER 1W, SMD-Package FEATURES ►SMD Package with Industry Standard Pinout ►Package Dimension:

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Source URL: www.minmax.com.tw

Language: English - Date: 2015-04-30 03:40:36
242Signal processing / Filter theory / Markov models / Bioinformatics / Hidden Markov model / Electronic filter / Filter / Synthesizer / Vibrato / Music / Electronic engineering / Electronics

Multi-target pitch tracking of vibrato sources in noise using the GM-PHD filter Dan Stowell and Mark D. Plumbley Centre for Digital Music, Queen Mary University of London, UK

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Source URL: c4dm.eecs.qmul.ac.uk

Language: English - Date: 2012-07-12 06:18:41
243Weather prediction / Control theory / Statistical forecasting / Systems theory / Cybernetics / Data assimilation / Ensemble Kalman filter / 4D / Bayesian statistics / Estimation theory / Statistics

Background and Status of Q1FY16 Global Implementation April 20, 2015 “Where America’s Climate, Weather, Ocean and Space Weather Services Begin”

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Source URL: www.emc.ncep.noaa.gov

Language: English - Date: 2015-04-20 09:49:34
244Measurement / Dot gain / Vision / Densitometry / Halftone / Densitometer / Electronic filter / Control theory / Knowledge / Measuring instruments / Technology

D19C Densitometer Ready To Meet Your Needs Today, Equipped For Tomorrow’s Requirements Accurate, Flexible And

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Source URL: www.gain.com.tw

Language: English - Date: 2011-09-05 04:37:52
245Markov models / Expectation–maximization algorithm / Missing data / Particle filter / Hidden Markov model / Kalman filter / Normal distribution / Maximum likelihood / Inference / Statistics / Estimation theory / Robot control

Probabilistic Movement Modeling for Intention Inference in Human-Robot Interaction Zhikun Wang1,2 , Katharina Mülling1,2 , Marc Peter Deisenroth2 , Heni Ben Amor2 , David Vogt3 , Bernhard Schölkopf1 , and Jan Peters1,2

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Source URL: www.is.tuebingen.mpg.de

Language: English - Date: 2013-02-21 04:12:48
246Robot control / Cybernetics / Systems theory / Statistics / Stochastic differential equations / Control theory / Kalman filter

Foundations of Monitoring Part II. Fault Isolation Using Analytic Redundancy 5. Kalman Filtering for Fault Isolation

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Source URL: www.prodsyse.com

Language: English - Date: 2007-09-13 19:36:18
247Linear filters / Robot control / Estimation theory / Geolocation / Kalman filter / Multilateration / Unscented transform / Least squares / Satellite geolocation / Electronic engineering / Control theory / Systems theory

A Hybrid TDOA/RSSD Geolocation System using the Unscented Kalman Filter Noha El Gemayel, Holger J¨akel and Friedrich K. Jondral Communications Engineering Lab, Karlsruhe Institute of Technology (KIT), Germany {noha.gema

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Source URL: www.cel.kit.edu

Language: English - Date: 2013-09-16 05:19:26
248Control theory / Linear filters / Data analysis / EKF SLAM / Kalman filter / Multivariate normal distribution / Matrix / Covariance matrix / Fisher information / Statistics / Robot control / Estimation theory

Exactly Sparse Extended Information Filters for Feature-Based SLAM Matthew R. Walter, Ryan M. Eustice, and John J. Leonard Abstract Recent research concerning the Gaussian canonical form for Simultaneous Localization and

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Source URL: ttic.uchicago.edu

Language: English - Date: 2014-11-19 14:27:01
249Lie algebras / Digital signal processing / Filter theory

SUMMARY REPORT OF FILED STATEMENTS OF ASSETS, LIABILITIES AND NET WORTH (SALNs) FOR CY 2014 OF MEMBERS OF THE HOUSE OF REPRESENTATIVES, 16TH CONGRESS Alpha list NAME REAL PROPERTIES

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Source URL: www.congress.gov.ph

Language: English - Date: 2015-05-24 23:20:55
250Control theory / Kalman filter / Robot control / Control chart / CUSUM / Prior probability / Statistics / Bayesian statistics / Linear filters

Foundations of Monitoring Dynamic Systems Spencer Graves, Søren Bisgaard, Murat Kulachi, John Van Gilder, Tom Ting, Ken Marko John James, Hal Zatorski, and Cuiping Wu Bayesian Sequential Updating: Step 1. Observation: U

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Source URL: www.prodsyse.com

Language: English - Date: 2007-09-13 19:36:22
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