Books on the topic 'Linear prediction'

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1

Strobach, Peter. Linear Prediction Theory. Berlin, Heidelberg: Springer Berlin Heidelberg, 1990. http://dx.doi.org/10.1007/978-3-642-75206-3.

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2

Vaidyanathan, P. P. The Theory of Linear Prediction. Cham: Springer International Publishing, 2008. http://dx.doi.org/10.1007/978-3-031-02527-3.

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3

Baram, Yoram. Linear prediction of stationary vector sequences. Moffett Field, Calif: National Aeronautics and Space Administration, Ames Research Center, 1988.

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4

Cain, Michael. Normal prediction under linear-quadratic loss. Aberystwyth: University of Wales, Aberystwyth, Dept. of Economics, 1993.

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5

Foundations of the prediction process. Oxford: Clarendon Press, 1992.

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6

International, C. A. B., ed. Linear models for the prediction of animal breeding values. Wallingford: CAB International, 1996.

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7

Linear prediction theory: A mathematical basis for adaptive systems. Berlin: Springer-Verlag, 1990.

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8

Linear models for the prediction of animal breeding values. 2nd ed. Cambridge, MA: CABI Pub., 2005.

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9

Mrode, R., ed. Linear models for the prediction of animal breeding values. Wallingford: CABI, 2014. http://dx.doi.org/10.1079/9781780643915.0000.

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10

Mrode, R. A., and R. Thompson, eds. Linear models for the prediction of animal breeding values. Wallingford: CABI, 2005. http://dx.doi.org/10.1079/9780851990002.0000.

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11

Strobach, Peter. Linear Prediction Theory: A Mathematical Basis for Adaptive Systems. Berlin, Heidelberg: Springer Berlin Heidelberg, 1990.

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12

Ramamurthy, Karthikeyan N., and Andreas S. Spanias. MATLAB® Software for the Code Excited Linear Prediction Algorithm. Cham: Springer International Publishing, 2009. http://dx.doi.org/10.1007/978-3-031-01514-4.

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13

Karim, Samsul Ariffin Abdul, and Nur Fatonah Kamsani. Water Quality Index Prediction Using Multiple Linear Fuzzy Regression Model. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-3485-0.

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14

Rauscher, Harold M. The microcomputer scientific software series 4: Testing prediction accuracy. St. Paul, Minn: U.S. Dept. of Agriculture, Forest Service, North Central Forest Experiment Station, 1986.

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15

Mrode, Raphael A., and Ivan Pocrnic. Linear Models for the Prediction of the Genetic Merit of Animals. 4th ed. GB: CABI, 2023. http://dx.doi.org/10.1079/9781800620506.0000.

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16

Chambers, Marcus J. An approach to multi-step ahead prediction in vector linear time series models. [Colchester]: University of Essex, Department of Economics, 1990.

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17

Bartel, Robert E. Prediction of transonic vortex flows using linear and nonlinear turbulent eddy viscosity models. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 2000.

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18

Kaikko, Juha. Performance prediction of gas turbines by solving a system of non-linear equations. Lappeenranta, Finland: Lappeenranta University of Technology, 1998.

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19

Ramamurthy, Karthikeyan N. MATLAB software for the code excited linear prediction algorithm: The Federal Standard, 1016. San Rafael, Calif. (1537 Fourth Street, San Rafael, CA 94901 USA): Morgan & Claypool Publishers, 2010.

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20

Georgiades, P. S. Application of a non-linear k-w model to the prediction of by-pass transition. Manchester: UMIST, 1995.

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21

Fleming, David P. Transient vibration prediction for rotors on ball bearings using load-dependent non-linear bearing stiffness. [Cleveland, Ohio]: National Aeronautics and Space Administration, Glenn Research Center, 2002.

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22

Litovchenko, V. Long-term prediction test procedure for most ICs, based on linear response theory: Final report. Washington, D.C: Vitreous State Laboratory, Catholic University of America, 1991.

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23

Litovchenko, V. Long-term prediction test procedure for most ICs, based on linear response theory: Final report. Washington, D.C: Vitreous State Laboratory, Catholic University of America, 1991.

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24

Tsang, K. M. A prediction-error estimation algorithm for the reconstruction of linear and nonlinear continuous time models from frequency response data. Sheffield: University of Sheffield, Dept. of Control Engineering, 1991.

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25

Zorn, Troy G. Utility of species-specific, multiple linear regression models for prediction of fish assemblages in rivers of Michigan's lower peninsula. Lansing, MI: Michigan Dept. of Natural Resources, Fisheries Division, 2004.

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26

Jensen, Jørgen Juncher. Non-linear wave load predictions for marine structures. Lyngby, Denmark: Danmarks tekniske universitet, 1994.

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27

Bowler, Darren. Multipulse linear predictive coding of broadband audio. Dublin: University College Dublin, 1997.

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28

So, Kevin Kin Man. A new quantization technique for linear predictive speech coding. Manchester: University of Manchester, 1994.

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29

McAllister, Graham. Compression of image sequences using a non-Markov linear predictor. [s.l: The Author], 2000.

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30

Barnston, Anthony G. Linear statistical short-term climate predictive skill in the Northern Hemisphere. [Silver Spring, Md.]: U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, National Weather Service, 1993.

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31

Barnston, Anthony G. Linear statistical short-term climate predictive skill in the Northern Hemisphere. [Silver Spring, Md.]: U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, National Weather Service, 1993.

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32

Wei, Yusheng, and Zongli Lin. Truncated Predictor Based Feedback Designs for Linear Systems with Input Delay. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-53429-5.

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33

Markel, John D., and Augustine H. Gray Jr. Linear Prediction of Speech. Springer, 2011.

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34

Vaidyanathan, P. P. Theory of Linear Prediction. Morgan & Claypool Publishers, 2007.

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35

Vaidyanathan, P. Theory of Linear Prediction. Springer International Publishing AG, 2007.

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36

Tan, Siew-Lian. Linear prediction of subband signals. 1991.

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37

Bäckström, Tom. Speech Coding: With Code-Excited Linear Prediction. Springer, 2018.

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38

Bäckström, Tom. Speech Coding: With Code-Excited Linear Prediction. Springer, 2017.

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39

Vaidyanathan, P. P. The Theory of Linear Prediction (Synthesis Lectures on Engineering). Morgan & Claypool, 2007.

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40

Proceedings of the Non-Linear Aero Prediction Requirements Workshop. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1994.

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41

1836-1899, acuteO Lacuteochacuteain Macuteicheacuteal, and Langley Research Center, eds. Proceedings of the Non-Linear Aero Prediction Requirements Workshop. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1994.

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42

D, Koffman Andrew, and National Institute of Standards and Technology (U.S.), eds. High-dimensional Empirical Linear Prediction (HELP) toolbox: User's guide. 2nd ed. Gaithersburg, MD: U.S. Dept. of Commerce, Technology Administration, National Institute of Standards and Technology, 1999.

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43

Linear Models for the Prediction of Animal Breeding Values. CABI, 2014.

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44

High-dimensional Empirical Linear Prediction (HELP) toolbox: User's guide. 2nd ed. Gaithersburg, MD: U.S. Dept. of Commerce, Technology Administration, National Institute of Standards and Technology, 1999.

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45

J, Logan Michael, and Langley Research Center, eds. Proceedings of the Non-Linear Aero Prediction Requirements Workshop. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1994.

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46

1836-1899, acuteO Lacuteochacuteain Macuteicheacuteal, and Langley Research Center, eds. Proceedings of the Non-Linear Aero Prediction Requirements Workshop. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1994.

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47

D, Koffman Andrew, and National Institute of Standards and Technology (U.S.), eds. High-dimensional Empirical Linear Prediction (HELP) toolbox: User's guide. 2nd ed. Gaithersburg, MD: U.S. Dept. of Commerce, Technology Administration, National Institute of Standards and Technology, 1999.

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48

J, Logan Michael, and Langley Research Center, eds. Proceedings of the Non-Linear Aero Prediction Requirements Workshop. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1994.

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49

D, Koffman Andrew, and National Institute of Standards and Technology (U.S.), eds. High-dimensional Empirical Linear Prediction (HELP) toolbox: User's guide. 2nd ed. Gaithersburg, MD: U.S. Dept. of Commerce, Technology Administration, National Institute of Standards and Technology, 1999.

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50

Shue, Yean-Jen. A formant-based linear prediction speech synthesis/analysis system. 1995.

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