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1

Rorabaugh, C. Britton. Digital filter designer's handbook: With C++ algorithms. 2nd ed. New York: McGraw-Hill, 1997.

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2

Rich, Thomas H. Algorithms for computer aided design of digital filters. Monterey, Calif: Naval Postgraduate School, 1988.

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3

Gould, N. I. M. A multidimensional filter algorithm for nonlinear equation and nonlinear least squares. Chilton: Rutherford Appleton Laboratory, 2003.

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4

Carpenter, J. Russell. Progress in navigation filter estimate fusion and its application to spacecraft rendezvous. [Washington, D.C.]: National Aeronautics and Space Administration, 1994.

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5

Carpenter, J. Russell. Progress in navigation filter estimate fusion and its application to spacecraft rendezvous. [Washington, D.C.]: National Aeronautics and Space Administration, 1994.

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6

Solo, Victor. Adaptive signal processing algorithms: Stability and performance. Englewood Cliffs, N.J: Prentice Hall, 1995.

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7

Gould, N. I. M. Global convergence of a non-monotone trust-region filter algorithm for nonlinear programming. Chilton: Rutherford Appleton Laboratory, 2003.

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8

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.

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9

Nicklas, Richard B. An application of a Kalman Filter Fixed Interval Smoothing Algorithm to underwater target tracking. Monterey, Calif: Naval Postgraduate School, 1989.

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10

Adaptive filtering: Algorithms and practical implementation. 2nd ed. Boston: Kluwer Academic Publishers, 2002.

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11

Adaptive filtering: Algorithms and practical implementation. Boston: Kluwer Academic Publishers, 1997.

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12

Galinis, William J. Fixed interval smoothing algorithm for an extended Kalman filter for over-the-horizon ship tracking. Monterey, California: Naval Postgraduate School, 1989.

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13

Harbron, Thomas R. File systems: Structures and algorithms. London: Prentice-Hall International, 1988.

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14

Rothacher, Fritz. Sample-rate conversion: Algorithms and VLSI implementation. Kothacher: Hartung-Gorre Verlag, 1995.

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15

David, Cope. The algorithmic composer. Madison, Wis: A-R Editions, 2000.

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16

Diniz, Paulo S. R. Adaptive Filtering: Algorithms and Practical Implementation. 4th ed. Boston, MA: Springer US, 2013.

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17

File systems: Structures and algorithms. Englewood Cliffs, N.J: Prentice Hall, 1988.

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18

Ready-to-run Delphi 3.0 algorithms. New York: John Wiley, 1998.

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19

Data clustering: Algorithms and applications. Boca Raton: Chapman and Hall/CRC, 2014.

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20

Circuit simulation methods and algorithms. Boca Raton: CRC Press, 1994.

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21

Loizou, Christos P. Despeckle filtering algorithms and software for ultrasound imaging. San Rafael, Calif (1537 Fourth Street, San Rafael, CA 94901 USA): Morgan & Claypool Publishers, 2008.

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22

Myoung, An, and Lu Chao 1959-, eds. Algorithms for discrete fourier transform and convolution. New York: Springer-Verlag, 1989.

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23

Myoung, An, and Lu Chao 1959-, eds. Algorithms for discrete Fourier transform and convolution. 2nd ed. New York: Springer, 1997.

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24

Data classification: Algorithms and applications. Boca Raton: CRC Press, Taylor & Francis Group, 2014.

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25

Schröder, Hartmut. One- and multidimensional signal processing algorithms and applications in image processing. Chichester: Wiley, 2000.

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26

1967-, Blume Holger, ed. One- and multidimensional signal processing algorithms and applications in image processing. Chichester: Wiley, 2000.

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27

Merhav, Neri. Multiplication-free approximate algorithms for compressed domain linear operations on images. Palo Alto, CA: Hewlett-Packard Laboratories, Technical Publications Department, 1996.

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28

Astola, Jaakko. Image processing: Algorithms and systems VI : 28-29 January 2008, San Jose, California, USA. Edited by IS & T--the Society for Imaging Science and Technology and Society of Photo-optical Instrumentation Engineers. Bellingham, Wash: SPIE, 2008.

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29

Astola, Jaakko. Image processing: Algorithms and systems VIII : 19-20 January 2010, San Jose, California, United States. Bellingham, Wash: SPIE, 2010.

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30

Astola, Jaakko. Image processing: Algorithms and systems IX : 24-25 January 2011, San Jose, California, United States. Edited by IS & T--the Society for Imaging Science and Technology and SPIE (Society). Bellingham, Wash: SPIE, 2011.

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31

Nelson, P. A. MINT, the multiple error LMS algorithm, and the design of inverse filters for multi-channel sound reproduction systems. Southampton, England: University of Southampton, 1992.

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32

Michaut, François. Méthodes adaptatives pour le signal: Outils mathématiques et mise en oeuvre des algorithmes. Paris: Hermès, 1992.

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33

Marino, Armando. A New Target Detector Based on Geometrical Perturbation Filters for Polarimetric Synthetic Aperture Radar (POL-SAR). Berlin, Heidelberg: Springer Berlin Heidelberg, 2012.

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34

T, Shaw William. Modelling financial derivatives with Mathematica: Mathematical models and benchmark algorithms. Cambridge: Cambridge University Press, 1998.

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35

Astola, Jaakko. Image processing: Algorithms and systems VI : 28-29 January 2008, San Jose, California, USA. Bellingham, Wash: SPIE, 2008.

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36

Astola, Jaakko. Image processing: Algorithms and systems VII : 19-20, 22 January 2009, San Jose, California, United States. Edited by IS & T--the Society for Imaging Science and Technology and SPIE (Society). Bellingham, Wash: SPIE, 2009.

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37

A Wiener filtering approach to the design of tracking algorithms: With applications in mobile radio communications. Uppsala: Uppsala University, 1995.

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38

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

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39

FODO, International Conference. Foundations of data organization and algorithms: 4th International Conference, FODO '93, Chicago, Illinois, USA, October 13-15, 1993 : proceedings. Berlin: Springer-Verlag, 1993.

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40

Garas, John. Adaptive 3D sound systems. Norwell, Mass: Kluwer Academic, 2000.

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41

Egiazarian, K. Image processing: Algorithms and systems X ; and, Parallel processing for imaging applications II : 23-25 January 2012, Burlingame, California, United States. Edited by IS & T--the Society for Imaging Science and Technology, SPIE (Society), and Electronic Imaging Science and Technology Symposium (2012 : Burlingame, Calif.). Bellingham, Wash: SPIE, 2012.

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42

Enzmann, Alexander. Ray tracing worlds with POV-Ray. Corte Madera, CA: Waite Group Press, 1994.

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43

Beidler, John. Data structures and algorithms: An object-oriented approach using Ada 95. New York: Springer, 1997.

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44

M, Rogers Robert. Final report for space shuttle propulsion estimation development verification: Volume I / by Robert M. Rogers. [Washington, DC: National Aeronautics and Space Administration, 1989.

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45

M, Rogers Robert. Final report for space shuttle propulsion estimation development verification: Volume II. [Washington, DC: National Aeronautics and Space Administration, 1989.

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46

Kockelman, Paul. Algorithms, Agents, and Ontologies. Oxford University Press, 2017. http://dx.doi.org/10.1093/acprof:oso/9780190636531.003.0007.

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This chapter details the inner workings of spam filters, algorithmic devices that separate desirable messages from undesirable messages. It argues that such filters are a particularly important kind of sieve insofar as they readily exhibit key features of sieving devices in general, and algorithmic sieving in particular. More broadly, it describes the relation between ontology (assumptions that drive interpretations) and inference (interpretations that alter assumptions) as it plays out in the classification and transformation of identities, types, or kinds. Focusing on the unstable processes whereby identifying algorithms, identified types, and evasive transformations are dynamically coupled over time, it also theorizes various kinds of ontological inertia and highlights various kinds of algorithmic ineffability. Finally, it shows how similar issues underlie a much wider range of processes, such as the Turing Test, Bayesian reasoning, and machine learning more generally.
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47

Carusone, Anthony Chan. Digital algorithms for analog adaptive filters. 2002.

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48

Adaptive Filter Algorithms: With Applications in Digital Communications. World Scientific Publishing Company, 1999.

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49

(Editor), Mike Nachtegael, Dietrich Van der Weken (Editor), Dimitri Van De Ville (Editor), and Etienne E. Kerre (Editor), eds. Fuzzy Filters for Image Processing (Studies in Fuzziness and Soft Computing). Springer, 2004.

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50

Jordan, Dorsett Weston. A matched filter algorithm for acoustic signal detection. 1985.

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