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Books on the topic 'Information theory and compression'

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Author: Grafiati

Published: 10 December 2022

Last updated: 28 January 2023

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1

Hankerson, Darrel R. Introduction to information theory and data compression. 2nd ed. Boca Raton, FL: Chapman & Hall/CRC Press, 2002.

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2

A, Harris Greg, and Johnson Peter D. 1945-, eds. Introduction to information theory and data compression. 2nd ed. Boca Raton, Fla: Chapman & Hall/CRC Press, 2003.

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3

Hankerson, Darrel. Introduction to information theory and data compression. Boca Raton, Fla: CRC Press, 1998.

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4

Hankerson, Darrel R. Introduction to information theory and data compression. Boca Raton, Fla: CRC Press, 1998.

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5

Gibson, Jerry. Information Theory and Rate Distortion Theory for Communications and Compression. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-031-01680-6.

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6

Seidler, J. Information systems and data compression. Boston, Mass: Kluwer Academic, 1997.

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7

Moffat, Alistair. Compression and Coding Algorithms. Boston, MA: Springer US, 2002.

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8

The mathematics of coding theory: Information, compression, error correction, and finite fields. Upper Saddle River, NJ: Pearson Prentice Hall, 2004.

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9

Krichevsky, Rafail. Universal Compression and Retrieval. Dordrecht: Springer Netherlands, 1994.

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10

Manstetten, Dietrich. Schranken für die Redundanz des Huffman-Codes. Heidelberg: A. Hüthig, 1988.

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11

1976-, Wei Wei, and Yang Keli, eds. Shi pin tong xin zhong de cuo wu yin cang ji shu. Beijing Shi: Guo fang gong ye chu ban she, 2007.

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12

Andrew, Turpin, ed. Compression and coding algorithms. Boston: Kluwer Academic Publishers, 2002.

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13

Lafe, Olu. Cellular Automata Transforms: Theory and Applications in Multimedia Compression, Encryption, and Modeling. Boston, MA: Springer US, 2000.

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14

Wu shi zhen xin yuan bian ma jiu cuo yi ma li lun yu ji shu. Beijing Shi: Guo fang gong ye chu ban she, 2008.

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15

Schuster, Guido M. Rate-distortion based video compression: Optimal video frame compression and object boundary encoding. Boston: Kluwer Academic Publishers, 1997.

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16

Merhav, Neri. Fast inverse motion compensation algorithms for MPEG-2 and for partial DCT information. Palo Alto, CA: Hewlett-Packard Laboratories, Technical Publications Department, 1996.

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17

Giulietti, Alexandre. Turbo codes: Desirable and designable. Boston: Kluwer Academic Publishers, 2004.

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18

Ramamohan, Rao K., and SPIE--the International Society for Optical Engineering., eds. Standards and common interfaces for video information systems: Proceedings of a conference held 25-26 October 1995, Philadelphia, Pennsylvania. Bellingham, Wash., USA: SPIE Optical Engineering Press, 1995.

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19

Giulietti, Alexandre. Turbo codes: Desirable and designable. Boston, Mass: Kluwer Academic, 2004.

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20

Baltimore, Md ). Compressive Sensing (Conference) (2nd 2013. Compressive Sensing II: 2-3 May 2013, Baltimore, Maryland, United States. Bellingham, Washington, USA: SPIE, 2013.

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21

Giulietti, Alexandre. Turbo Codes: Desirable and Designable. Boston, MA: Springer US, 2004.

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22

Data compression: Methods and theory. Rockville, Md: Computer Science Press, 1988.

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23

Giulietti, Alexandre. Turbo codes: Desirable and designable. Boston, MA: Kluwer Academic Publishers, 2004.

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24

Seidler, Jerzy. Information systems and data compression. Boston: Kluwer, 1997.

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25

Goldman, Stanford. Information theory. Mineola, N.Y: Dover Publications, 2005.

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26

Information theory. New York: Dover Publications, 1990.

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27

Duplantier, Bertrand, and Vincent Rivasseau, eds. Information Theory. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-81480-9.

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28

Information theory. Cambridge [England]: Cambridge University Press, 1997.

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29

Krippendorff, Klaus. Information Theory. 2455 Teller Road, Newbury Park California 91320 United States of America: SAGE Publications, Inc., 1986. http://dx.doi.org/10.4135/9781412984485.

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30

Introduction to data compression. 4th ed. Waltham, MA: Morgan Kaufmann, 2012.

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31

Rabbani, Majid. Digital image compression techniques. Bellingham, Wash., USA: Spie Optical Engineering Press, 1991.

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32

Salomon, David. Data Compression: The Complete Reference. Berlin, Heidelberg: Springer Berlin Heidelberg, 2000.

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33

Chaitin, Gregory J. Algorithmic information theory. Cambridge, UK: Cambridge University Press, 2004.

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34

Kogan, I. M. Applied information theory. New York: Gordon and Breach, 1988.

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35

Hankerson, Darrel. Introduction to Information Theory and Data Compression. Taylor & Francis Group, 2003.

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36

Hankerson, D. C., Greg A. Harris, and Jr Johnson. Introduction to Information Theory and Data Compression. Taylor & Francis Group, 2019.

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37

Johnson Jr., Peter D., Greg A. Harris, and D. C. Hankerson. Introduction to Information Theory and Data Compression. Chapman and Hall/CRC, 2003. http://dx.doi.org/10.1201/9781420035278.

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38

Harris, Greg A., Peter D. Johnson Jr, and D. C. Hankerson. Introduction to Information Theory and Data Compression. Taylor & Francis Group, 2003.

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39

Hankerson, D. C., Greg A. Harris, and Peter D. Johnson Jr. Introduction to Information Theory and Data Compression. Taylor & Francis Group, 2003.

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40

Gibson, Jerry. Information Theory and Rate Distortion Theory for Communications and Compression. Morgan & Claypool Publishers, 2013.

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41

Gibson, Jerry. Information Theory and Rate Distortion Theory for Communications and Compression. Morgan & Claypool Publishers, 2013.

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42

Gibson, Jerry. Information Theory and Rate Distortion Theory for Communications and Compression. Springer International Publishing AG, 2013.

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43

Jr, Johnson Peter D. Introduction to Information Theory and Data Compression, Third Edition. Taylor & Francis Group, 2021.

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44

Hankerson, D. C., Greg A. Harris, and Johnson, Jr., Peter D., Peter D. Introduction to Information Theory and Data Compression, Second Edition. Taylor & Francis Group, 2014.

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45

Jr, Johnson Peter D. Introduction to Information Theory and Data Compression, Third Edition. Taylor & Francis Group, 2015.

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46

Johnson, Jr Peter D. Introduction to Information Theory and Data Compression, Third Edition. Taylor & Francis Group, 2016.

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47

Information Theory: Saving Bits (Contemporary Applied Mathematics). Everyday Learning Corporation, 1988.

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48

Vito, Cappellini, ed. Data compression and error control techniques with applications. London: Academic Press, 1985.

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49

Wade, Graham. Coding Techniques: An Introduction to Compression and Error Control. Palgrave Macmillan, 2000.

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50

Seibt, Peter. Algorithmic Information Theory: Mathematics of Digital Information Processing. Springer, 2010.

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