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1

Matrices and linear transformations. 2nd ed. New York: Dover, 1990.

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2

Farenick, Douglas R. Algebras of Linear Transformations. New York, NY: Springer New York, 2001. http://dx.doi.org/10.1007/978-1-4613-0097-7.

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3

Campbell, S. L. Generalized inverses of linear transformations. New York: Dover Publications, 1991.

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4

Campbell, S. L. Generalized inverses of linear transformations. Philadelphia: Society for Industrial and Applied Mathematics, 2009.

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5

Amir-Moéz, A. R. Extreme properties of linear transformations. Washington, NJ: Polygonal Pub., 1990.

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6

Linear algebra and projective geometry. Mineola, N.Y: Dover Publications, 2005.

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7

Nillsen, Rodney. Difference spacesand invariant linear forms. Berlin: Springer-Verlag, 1994.

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8

Global properties of linear ordinary differential equations. Dordrecht: Kluwer Academic Publishers, 1991.

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9

Jerri, Abdul J. Linear difference equations with discrete transform methods. Dordrecht: Kluwer Academic, 1996.

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10

Loon, P. M. van. Continuous decoupling transformations for linear boundary value problems. [Amsterdam, the Netherlands]: Centrum voor Wiskunde en Informatica, 1988.

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11

Houts, Ronald C. Signal analysis in linear systems. Philadelphia: Saunders College Pub., 1991.

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12

Conceição, Carvalho, ed. Beginning with linear algebra. 2nd ed. New York: W.H. Freeman, 2005.

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13

Tzoreff-Eliam, T. Matching patterns in strings subject to multi-linear transformations. New York: Courant Institute of Mathematical Sciences, New York University, 1987.

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14

O'Flynn, Michael. Linear systems: Timedomain and transform analysis. New York: Harper & Row, 1987.

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15

O'Flynn, Michael. Linear systems: Time domain and transform analysis. New York: Harper & Row, 1987.

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16

Difference spaces and invariant linear forms. Berlin: Springer-Verlag, 1994.

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17

Breitenlohner, Peter, Dieter Maison, and Klaus Sibold, eds. Renormalization of Quantum Field Theories with Non-linear Field Transformations. Berlin, Heidelberg: Springer Berlin Heidelberg, 1988. http://dx.doi.org/10.1007/bfb0033712.

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18

Linear partial differential equations and Fourier theory. New York: Cambridge University Press, 2010.

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19

Bingzhao, Li, ed. Xian xing zheng ze bian huan ji qi ying yong. Beijing: Ke xue chu ban she, 2013.

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20

Gevorkyan, Gegham. On general Franklin systems. Warszawa: Polska Akademia Nauk, Instytut Matematyczny, 1998.

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21

Wasylkiwskyj, Wasyl. Signals and Transforms in Linear Systems Analysis. New York, NY: Springer New York, 2013.

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22

M, Johnson R. Linear differential and difference equations: A systems approach for mathematicians and engineers. Chichester: Albion Pub., 1997.

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23

Gargour, Christian Samir. Traitement numérique des signaux. 2nd ed. Québec: Presses de l'Université du Québec, 2006.

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24

Gargour, Christian Samir. Traitement numérique des signaux. 3rd ed. Québec: Presses de l'Université du Québec, 2013.

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25

Breitenlohner, Peter. Renormalization of Quantum Field Theories with Non-linear Field Transformations: Proceedings of a Workshop, Held at Ringberg Castle Tegernsee, FRG, February 16-20, 1987. Berlin, Heidelberg: Springer Berlin Heidelberg, 1988.

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26

Linear algebra, geometry and transformation. Boca Raton: CRC Press, Taylor & Francis Group, 2015.

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27

Ziegler, Rudolph F. Character animation using transformation based linear dynamics. Toronto: University of Toronto, Dept. of Computer Science, 1997.

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28

Bamler, Richard. Mehrdimensionale lineare Systeme: Fourier-Transformation und ð-Funktionen. Berlin: Springer-Verlag, 1989.

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29

Manichev, Vladimir, Valentina Glazkova, and Кузьмина Анастасия. Numerical methods. The authentic and exact solution of the differential and algebraic equations in SAE systems of SAPR. ru: INFRA-M Academic Publishing LLC., 2016. http://dx.doi.org/10.12737/13138.

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In the manual classical numerical methods are considered and algorithms for the decision of systems of the ordinary differential equations (ODE), nonlinear and linear algebraic equations (NAU and LAU), and also ways of ensuring reliability and demanded accuracy of results of the decision. Ideas, which still not are stated are reflected in textbooks on calculus mathematics, namely: decision systems the ODE without reduction to a normal form of Cauchy resolved rather derivative, and refusal from any numerical an equivalent - nykh of transformations of the initial equations of mathematical models and is- the hodnykh of data because such transformations can change properties of models at a variation of coefficients in corresponding urav- neniyakh. It is intended for students, graduate students and teachers of higher education institutions in the direction of preparation "Informatics and computer facilities". The grant will also be useful for engineers and scientists on the corresponding specialties.
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30

1928-, Lin Pen-Min, ed. Linear circuits: Time domain, phasor and Laplace transform approaches. 3rd ed. Dubuque, IA: Kendall Hunt Publishing, 2009.

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31

Dekimpe, Karel. Almost-Bieberbach groups: Affine and polynomial structures. Berlin: Springer, 1996.

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32

Almost-Bieberbach groups: Affine and polynomial structures. New York: Springer, 1996.

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33

Beardon, Alan F. The geometry of discrete groups. 2nd ed. New York: Springer, 1995.

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34

Kopec, Andrew Robert. Accuracy assessment of direct linear transformation for close-range, non-topographic applications. Ottawa: National Library of Canada, 1992.

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35

Zhao, Yi. Optimal linear transformation of space-time block coding with channel covariance feedback. Ottawa: National Library of Canada, 2003.

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36

1928-, Lin Pen-Min, ed. Linear circuit analysis: Time domain, phasor, and Laplace transform approaches. Englewood Cliffs, N.J: Prentice Hall, 1995.

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37

Zemanian, A. H. Realizability theory for continuous linear systems. New York: Dover, 1995.

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38

Chung, W. W. A direct application of the non-linear inverse transformation flight control system design on a STOVL aircraft. Moffett Field, Calif: National Aeronautics and Space Administration, Ames Research Center, 1993.

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39

Banowetz, G. M. A computer program for logit-log transformation and linear regression analysis of concentration-dependent biological and chemical responses. [United States]: U.S. Dept. of Agriculture, Agricultural Research Service, 1987.

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40

Thomas, H. Michael. Analog signal processing. Needham Heights, MA: Simon & Schuster Custom Pub., 1991.

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41

Leigh, J. R. Control theory: A guided tour. Stevenage, Herts, UK: Peter Peregrinus, 1991.

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42

Control theory: A guided tour. London: P. Peregrinus on the behalf of the Institution of Electrical Engineers, 1992.

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43

Engineers, Institution of Electrical, ed. Control theory. 2nd ed. London: Institution of Electrical Engineers, 2004.

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44

Shirokov, Igor', and Yuriy Gimpilevich. Research of communication channel characteristics. ru: INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/1093426.

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The questions of studying the amplitude and phase characteristics of communication channels of radio engineering systems are considered. As part of the research, a homodyne method for converting microwave signals is proposed, which makes it possible to measure amplitude and phase fluctuations with high accuracy and with the utmost simplicity of measuring equipment. The development of the homodyne method of signal transformation for the purposes and tasks of determining the amplitude and phase fluctuations of signals during the propagation of radio waves on open lines of sight is presented. The features of homodyne signal transformation in the presence of various destabilizing factors are considered. The issues of synchronization of reference generators on different parts of the measuring route are considered. The results of theoretical and experimental studies of amplitude and phase fluctuations on land and sea lines of sight are presented. For students and teachers, as well as anyone interested in radio engineering.
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45

Farenick, Douglas R. Algebras of Linear Transformations. Springer, 2013.

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46

Farenick, Douglas R. Algebras of Linear Transformations. Springer, 2000.

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47

Finkbeiner, Daniel T. Introduction to Matrices and Linear Transformations. Dover Publications, Incorporated, 2011.

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48

Transform Linear Algebra. Prentice Hall, 2001.

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49

Uhlig, Frank. Transform Linear Algebra. Prentice Hall, 2001.

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50

Baker, H. F. Locus with 25920 Linear Self-Transformations. Cambridge University Press, 2015.

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