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1

Williams, Ross N. Adaptive Data Compression. Boston: Kluwer Academic Publishers, 1991.

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2

Sayood, Khalid. Introduction to data compression. 3rd ed. Amsterdam: Elsevier, 2006.

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3

Sayood, Khalid. Introduction to data compression. San Francisco, Calif: Morgan Kaufmann Publishers, 1996.

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4

Huang, Bormin. Satellite data compression. New York, NY: Springer Science+Business Media, LLC, 2011.

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5

Ramamohan, Rao K., and Yip P. C, eds. The Transform and Data Compression Handbook. Boca Raton, Fla: CRC Press, 2009.

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6

United States. National Aeronautics and Space Administration., ed. Data compression using adaptive transform coding. [Washington, DC: National Aeronautics and Space Administration, 1988.

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7

United States. National Telecommunications and Information Administration., ed. Image data compression overview: Issues and partial solutions. [Boulder, CO]: U.S. Dept. of Commerce, National Telecommunications and Information Administration, 1989.

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8

Nesenbergs, M. Image data compression overview: Issues and partial solutions. [Boulder, CO]: U.S. Dept. of Commerce, National Telecommunications and Information Administration, 1989.

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9

Bizon, Thomas P. Real-time transmission of digital video using variable-lengthbcoding. [Washington, DC: National Aeronautics and Space Administration, 1993.

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10

Bizon, Thomas P. Real-time transmission of digital video using variable-lengthbcoding. [Washington, DC: National Aeronautics and Space Administration, 1993.

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11

Bizon, Thomas P. Real-time transmission of digital video using variable-lengthbcoding. [Washington, DC: National Aeronautics and Space Administration, 1993.

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12

Scientific Data Compression Workshop (1988 Snowbird, Utah). Proceedings of the Scientific Data Compression Workshop. Edited by Ramapriyan H. K and United States. National Aeronautics and Space Administration. Scientific and Technical Information Division. [Washington, DC]: National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Division, 1989.

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13

L, Mitchell Joan, ed. JPEG still image data compression standard. New York: Van Nostrand Reinhold, 1992.

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14

Jiang, Nan. Chang yong duo mei ti wen jian ge shi yu ya suo biao zhun jie xi. Beijing: Dian zi gong ye chu ban she, 2005.

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15

Scientific Data Compression Workshop (1988 Snowbird, Utah). Proceedings of the Scientific Data Compression Workshop: Proceedings of a workshop. Edited by Ramapriyan H. K and United States. National Aeronautics and Space Administration. Washington, D.C: National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Division, 1989.

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16

Glover, Daniel. Compressing subbanded image data with Lempel-Ziv-based coders. [Washington, D.C.]: NASA, 1993.

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17

Glover, Daniel. Compressing subbanded image data with Lempel-Ziv-based coders. [Washington, D.C.]: NASA, 1993.

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18

Center, Goddard Space Flight, ed. Multi-stage decoding for multi-level block modulation codes: Technical report to NASA Goddard Space Flight Center. Honolulu, Hawaii: Dept. of Electrical Engineering, University of Hawaii at Manoa, 1991.

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19

Center, Goddard Space Flight, ed. Multi-stage decoding for multi-level block modulation codes: Technical report to NASA Goddard Space Flight Center. Honolulu, Hawaii: Dept. of Electrical Engineering, University of Hawaii at Manoa, 1991.

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20

Lin, Shu. Multi-stage decoding for multi-level block modulation codes: Technical report to NASA Goddard Space Flight Center. Honolulu, Hawaii: Dept. of Electrical Engineering, University of Hawaii at Manoa, 1991.

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21

Associates, Paul Kagan, ed. Channel compression: A strategic analysis, 1995. Carmel, CA: P. Kagan Associates, 1995.

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22

Bizon, Thomas P. Real-time demonstration hardware for enhanced DPCM video compression algorithm. [Washington, DC]: National Aeronautics and Space Administration, 1992.

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23

Bizon, Thomas P. Real-time demonstration hardware for enhanced DPCM video compression algorithm. [Washington, DC]: National Aeronautics and Space Administration, 1992.

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24

Bizon, Thomas P. Real-time demonstration hardware for enhanced DPCM video compression algorithm. [Washington, DC]: National Aeronautics and Space Administration, 1992.

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25

Rice, Robert F. Algorithms for a very high speed universal noiseless coding module. Pasadena, Calif: National Aeronautics and Space Administration, Jet Propulsion Laboratory, California Institute of Technology, 1991.

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26

Moreau, Nicolas. Tools for signal compression. London: ISTE, 2011.

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27

Huang, Bormin. Satellite data compression, communications, and processing VI: 3-5 August 2010, San Diego, California, United States. Edited by SPIE (Society). Bellingham, Wash: SPIE, 2010.

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28

Khalid, Sayood, ed. Lossless compression handbook. Amsterdam: Academic Press, 2003.

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29

Hartz, William G. Data compression techniques applied to high resolution high frame rate video technology. [Washington, DC]: National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Division, 1990.

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30

Hartz, William G. Data compression techniques applied to high resolution high frame rate video technology. [Washington, DC]: National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Division, 1990.

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31

Huang, Bormin. Satellite data compression, communication, and processing V: 4-5 August 2009, San Diego, California, United States. Bellingham, Wash: SPIE, 2009.

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32

Satellite Data Compression, Communications, and Processing (Conference) (9th 2013 San Diego, Calif.). Satellite Data Compression, Communications, and Processing IX: 26-27 August 2013, San Diego, California, United States. Edited by Plaza Antonio J, Chang Chein-I, and SPIE (Society). Bellingham, Washington: SPIE, 2013.

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33

Huang, Bormin. Satellite data compression, communication, and processing V: 4-5 August 2009, San Diego, California, United States. Edited by SPIE (Society). Bellingham, Wash: SPIE, 2009.

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34

Rak, Remigiusz J. Wybrane metody kompresji sygnałów multimedialnych. Warszawa: Oficyna Wydawnicza Politechniki Warszawskiej, 1998.

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35

Krapivenko, A. V. Kross-kadrovai︠a︡ interpoli︠a︡t︠s︡ii︠a︡ videodannykh: Preprint. Moskva: Vuzovskai︠a︡ kniga, 2000.

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36

Huang, Bormin, and Antonio J. Plaza. Satellite data compression, communications, and processing VII: 23-24 August 2011, San Diego, California, United States. Edited by Thiébaut Carole and SPIE (Society). Bellingham, Wash: SPIE, 2011.

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37

R.S.F.S.R.) Simpozium po probleme izbytochnosti v informat͡sionnykh sistemakh (9th 1986 Leningrad. IX Simpozium po probleme izbytochnosti v informat͡sionnykh sistemakh: Tezisy dokladov : 3 ii͡uni͡a-8 ii͡uni͡a 1986 goda. Leningrad: LIAP, 1986.

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38

R.S.F.S.R.) Simpozium po probleme izbytochnosti v informat͡sionnykh sistemakh (10th 1989 Leningrad. X Simpozium po probleme izbytochnosti v informat͡sionnykh sistemakh, 25 ii͡uni͡a-1 ii͡uli͡a 1989: Tezisy dokladov. Leningrad: LIAP, 1989.

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39

Benedetto, Sergio. A flexible near-shannon SCCC turbo code for telemetry applications. Noordwijk, The Netherlands: ESA Publications Division, ESTEC, 2005.

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40

T, Hakes Barbara, ed. Compressed video: Operations and applications. [Washington, D.C.]: Association for Educational Communications and Technology, 1993.

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41

D, Barni Mauro Ph, ed. Document and image compression. Boca Raton, FL: CRC/Taylor & Francis, 2006.

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42

Kitson, Frederick L. Multimedia, visual computing and the information superhighway. Palo Alto, CA: Hewlett-Packard Laboratories, Technical Publications Department, 1996.

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43

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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44

T, Hakes Barbara, ed. Compressed video for instruction: Operations and applications. [Washington, D.C.]: Association for Educational Communications & Technology, 1995.

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45

Simon, Stephan Felix. Mehrdimensionale Kompandierung und effiziente Vektorquantisierung zur Quellencodierung. Düsseldorf: VDI Verlag, 1999.

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46

Mächler, Patrick. VLSI architectures for compressive sensing and sparse signal recovery. Konstanz: Hartung-Gorre Verlag, 2013.

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47

Dramitinos, Manos. Auction theory for telecoms. Hauppauge, NY: Nova Science Publishers, 2011.

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48

Gabor, G. Recursive Source Coding: A Theory for the Practice of Waveform Coding. New York, NY: Springer New York, 1986.

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49

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

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50

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

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