Books on the topic 'Data filtering'

Abramowicz, Witold, Paweł Kalczyński, and Krzysztof Węcel. Filtering the Web to Feed Data Warehouses. London: Springer London, 2002. http://dx.doi.org/10.1007/978-1-4471-0137-6.

Abramowicz, Witold. Filtering the Web to Feed Data Warehouses. London: Springer London, 2002.

Brenner, Marty. Nonstationary dynamics data analysis with wavelet-SVD filtering. Edwards, Calif: National Aeronautics and Space Administration, Dryden Flight Research Center, 2001.

Stinson, Catherine Elizabeth. Adaptive information filtering with labelled and unlabelled data. Ottawa: National Library of Canada, 2002.

Consens, Mariano P. Creating and filtering structural data visualizations using hygraph patterns. Toronto: Computer Systems Research Institute, University of Toronto, 1994.

Maskey, Liam. Digital filtering of sigma-delta modulator data using FPGA's. (s.l: The Author), 2000.

Oceans, Canada Dept of Fisheries and. Efficient Frequency Domain Filtering Algorithm For Small Data Sets. S.l: s.n, 1987.

Chui, C. K. Kalman filtering: With real-time applications. 3rd ed. Berlin: Springer, 1999.

G, Chen, ed. Kalman filtering: With real-time applications. 2nd ed. Berlin: Springer-Verlag, 1991.

G, Chen, ed. Kalman filtering: With real-time applications. Berlin: Springer-Verlag, 1987.

T, Smith Mark J., ed. Digital filtering: A computer laboratory textbook. New York: J. Wiley, 1994.

Salzmann, Martin. Least squares filtering and testing for geodetic navigation applications. Delft, Netherlands: Nederlandse Commissie voor Geodesie, 1993.

Brown, Robert Grover. Introduction to random signals and applied Kalman filtering. New York: John Wiley, 1992.

Brown, Robert Grover. Introduction to random signals and applied Kalman filtering. 2nd ed. New York: J. Wiley, 1992.

Data assimilation: The ensemble Kalman filter. Berlin: Springer, 2007.

K, Wang R., ed. Frequency domain filtering strategies for hybrid optical information processing. Taunton, Somerset, England: Research Studies Press, 1996.

Liang, Xu, and SpringerLink (Online service), eds. Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009.

Evensen, Geir. Data Assimilation: The Ensemble Kalman Filter. Berlin, Heidelberg: Springer-Verlag Berlin Heidelberg, 2009.

Nerger, Lars. Parallel filter algorithms for data assimilation in oceanography =: Parallele Filteralgorithmen zur Datenassimilation in der Ozeanographie. Bremerhaven: Alfred-Wegener-Institut für Polar- und Meeresforschung, 2004.

Shi, Feng. Learn About Collaborative Filtering in R With Data From Steam Video Games Dataset (2017). 1 Oliver's Yard, 55 City Road, London EC1Y 1SP United Kingdom: SAGE Publications, Ltd., 2019. http://dx.doi.org/10.4135/9781526487704.

Milic, Ljiljana. Multirate filtering for digital signal processing: MATLAB applications. Hershey, PA: Information Science Reference, 2009.

Irniger, Christophe-André Mario. Graph matching: Filtering databases of graphs using machine learning techniques. Berlin: AKA, 2005.

Aguirre, L. A. Identification of models for chaotic systems from noisy data: Implications for performance and nonlinear filtering. Sheffield: University of Sheffield, Dept. of Automatic Control and Systems Engineering, 1993.

Tiwari, R. K., and R. Rekapalli. Modern Singular Spectral-Based Denoising and Filtering Techniques for 2D and 3D Reflection Seismic Data. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-19304-1.

Witold, Abramowicz, ed. Knowledge-based information retrieval and filtering from the Web. Boston: Kluwer Academic Publishers, 2003.

Adaptive filtering: Fundamentals of least mean squares with MATLAB. Boca Raton: CRC Press/Taylor & Francis Group, 2014.

Brown, Robert Grover. Introduction to random signals and applied Kalman filtering: With MATLAB exercises and solutions. 3rd ed. New York: Wiley, 1997.

Ghysels, Eric. Dynamic regression and filtered data series: A Laplace approximation to the effects of filtering in small samples. Bristol: Bristol University, Department of Economics, 1993.

Brown, Robert Grover. Introduction to random signals and applied Kalman filtering: With MATLAB exercises and solutions. 4th ed. Hoboken, NJ: Wiley, 2012.

Monsefi, Reza. An interactive digital simulation of a 'FSK' telemetry system, utilizing on-line real-time comb-filtering or fast fourier transform methods for reconstruction of binary data. Salford: University of Salford, 1987.

Ghosh, Koushik, and Souvik Bhattacharyya. Noise Filtering for Big Data Analytics. de Gruyter GmbH, Walter, 2022.

Ghosh, Koushik, and Souvik Bhattacharyya. Noise Filtering for Big Data Analytics. de Gruyter GmbH, Walter, 2022.

Ghosh, Koushik, and Souvik Bhattacharyya. Noise Filtering for Big Data Analytics. de Gruyter GmbH, Walter, 2022.

Billingsley, F. C., J. G. Fiasconaro, T. S. Huang, and H. C. Andrews. Picture Processing and Digital Filtering. Springer London, Limited, 2013.

Bhatnagar, Vishal. Collaborative Filtering Using Data Mining and Analysis. IGI Global, 2016.

Abramowicz, Witold, Pawel Kalczynski, and Krzysztof Wecel. Filtering the Web to Feed Data Warehouses. Springer, 2002.

Abramowicz, Witold, Krzysztof Wecel, and Pawel J. Kalczynski. Filtering the Web to Feed Data Warehouses. Springer London, Limited, 2012.

Nonstationary dynamics data analysis with wavelet-SVD filtering. Edwards, Calif: National Aeronautics and Space Administration, Dryden Flight Research Center, 2001.

Evensen, Geir. Data Assimilation. Springer, 2009.

Shoval, Ayal. Analog adaptive filtering techniques for high-speed data communications. 1995.

Novara, Carlo, and Simone Formentin. Data-Driven Modeling, Filtering and Control: Methods and Applications. Institution of Engineering & Technology, 2019.

Segers, Arjo. Data Assimilation in Atmospheric Chemistry Models Using Kalman Filtering. Delft Univ Pr, 2002.

Novara, Carlo, and Simone Formentin, eds. Data-Driven Modeling, Filtering and Control: Methods and applications. Institution of Engineering and Technology, 2019. http://dx.doi.org/10.1049/pbce123e.

Lai, Cristian, Giovanni Semeraro, and Alessandro Giuliani. Information Filtering and Retrieval : DART 2014: Revised and Invited Papers. Springer, 2016.

Lai, Cristian, Giovanni Semeraro, and Alessandro Giuliani. Information Filtering and Retrieval : DART 2014: Revised and Invited Papers. Springer, 2016.

Lai, Cristian, Giovanni Semeraro, and Alessandro Giuliani. Information Filtering and Retrieval : DART 2014: Revised and Invited Papers. Springer, 2018.

Facility, Dryden Flight Research, ed. Formulation and implementation of nonstationary adaptive estimation algorithm with applications to air-data reconstruction. Edwards, Calif: National Aeronautics and Space Administration, Ames Research Center, Dryden Flight Research Facility, 1985.

Facility, Dryden Flight Research, ed. Formulation and implementation of nonstationary adaptive estimation algorithm with applications to air-data reconstruction. Edwards, Calif: National Aeronautics and Space Administration, Ames Research Center, Dryden Flight Research Facility, 1985.

Facility, Dryden Flight Research, ed. Formulation and implementation of nonstationary adaptive estimation algorithm with applications to air-data reconstruction. Edwards, Calif: National Aeronautics and Space Administration, Ames Research Center, Dryden Flight Research Facility, 1985.

Kalman Filtering: with Real-Time Applications. Springer, 2008.