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1

McColl, Roderick William. Colour image quantisation and coding for optimal perception. typescript, 1991.

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2

Nariman, Farvardin, and United States. National Aeronautics and Space Administration., eds. Optimal block cosine transform image coding for noisy channels. National Aeronautics and Space Administration, 1987.

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3

Knaus, Gary M. Getting paid for what you do: Coding for optimal reimbursement. 4th ed. PMIC, 1997.

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4

Knaus, Gary M. Getting paid for what you do: Coding for optimal reimbursement. 2nd ed. McGraw-Hill, 1991.

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5

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

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6

Schuster, Guido M. Rate-Distortion Based Video Compression: Optimal Video Frame Compression and Object Boundary Encoding. Springer US, 1997.

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7

Olsen, Eldon D. Optimal bucking: Two trials with commercial OSU BUCK Software. Forest Research Laboratory, College of Forestry, Oregon State University, 1997.

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8

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

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9

Djordjevic, Ivan, William Ryan, and Bane Vasic. Coding for Optical Channels. Springer US, 2010. http://dx.doi.org/10.1007/978-1-4419-5569-2.

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10

1958-, Ryan William E., and Vasic Bane, eds. Coding for optical channels. Springer, 2010.

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11

Sadegh Amiri, Iraj, Sayed Ehsan Alavi, and Sevia Mahdaliza Idrus. Soliton Coding for Secured Optical Communication Link. Springer Singapore, 2015. http://dx.doi.org/10.1007/978-981-287-161-9.

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12

Ke, Xizheng. Coding Theory in Optical Wireless Communication Systems. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-19-9837-9.

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13

Ke, Xizheng. Coding Theory in Optical Wireless Communication Systems. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-2382-9.

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14

LaMoreaux, Robert D. Barcodes and other automatic identification systems. Pira International, 1995.

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15

Ke, Xizheng. Space-Time Coding Theory in Optical Wireless MIMO Systems. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-97-6449-5.

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16

Harmon, Craig K. Reading between the lines: An introduction to bar code technology. 2nd ed. North American Technology, 1985.

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17

Georghiades, Costas N. Modulation and coding for throughput-efficient optical free-space links. National Aeronautics and Space Administration, 1993.

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18

Grieco, Peter L. Behind bars: Bar coding principles and applications. PT Publications, 1989.

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19

Ayuso, Antonio J. Rubio. Speech Recognition and Coding: New Advances and Trends. Springer Berlin Heidelberg, 1995.

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20

Adams, Russ. Sourcebook of automatic identification and data collection. Van Nostrand Reinhold, 1990.

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21

K, Katsaggelos Aggelos, Society of Photo-optical Instrumentation Engineers., and IEEE Circuits and Systems Society., eds. Visual communications and image processing '94: 25-29 September 1994, Chicago, Illinois. SPIE, 1994.

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22

Addison, Bouman Charles, Panchenko M. V, Steinbach Eckehard G, IS & T--the Society for Imaging Science and Technology., and Society of Photo-optical Instrumentation Engineers., eds. Visual communications and image processing 2001: 24-26 January, 2001, San Jose, [California] USA. SPIE, 2001.

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23

Kiyoharu, Aizawa, Stevenson Robert L. 1963-, Zhang Ya-Qin, IS & T--the Society for Imaging Science and Technology., Society of Photo-optical Instrumentation Engineers., and IEEE Circuits and Systems Society., eds. Visual communications and image processing '99: 25-27 January 1999, San Jose, California. SPIE, 1999.

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24

Rashid, Ansari, Smith Mark J. T, Society of Photo-optical Instrumentation Engineers., and IEEE Circuits and Systems Society., eds. Visual communications and image processing '96: 17-20 March, 1996, Orlando, Florida. SPIE, 1996.

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25

Adams, Russell E. Sourcebook of automatic identification and data collection. Van Nostrand Reinhold, 1990.

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26

Norbert, Bartneck, Klaas Volker, and Schoenherr Holger, eds. Optimizing processes with RFID and auto ID: Fundamentals, problems and solutions, example applications. Publicis, 2009.

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27

T, Wu Lance, and Society of Photo-optical Instrumentation Engineers., eds. Visual communications and image processing '95: 24-26 May, 1995, Taipei, Taiwan. SPIE, 1995.

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28

Robert, Moran. Automatic identification systems: Growth markets--a major enabling technology for the 90s. Business Communications Co., 1994.

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29

Frost & Sullivan., ed. World emerging and niche-oriented automatic ID product markets: Enormous growth potential. Frost & Sullivan, 1993.

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30

Keene, Robert D. 2000 Coding for Optimal Reimbursement. Robert D. Keene, 2000.

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31

Coding answers for optimal physician payment. Aspen Publishers, 1994.

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32

Optimal Timedomain Noise Reduction Filters A Theoretical Study. Springer, 2011.

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33

Knaus, Gary M. Getting Paid for What You Do: Coding for Optimal Reimbursement. 3rd ed. McGraw-Hill Companies, 1993.

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34

Jeanne, Rra Tucker. Coders Desk Reference Coding With Icd 9 Cm for Optimal Reimbursement. Care Communications, 1985.

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35

Knaus, Gary M. Getting Paid for What You Do: Cpt and Hcpcs Coding for Optimal Reimbursement. 5th ed. Medical Administration Pubns, 1987.

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36

Rachapalli, Sireesha, Dr Sudheer Kasa, and Suresh Penagaluru. Effective Optimal Location of Multiple Distributed Generation System: Review and comparison of optimal DG placing algorithms performance with MATLAB coding. LAP LAMBERT Academic Publishing, 2020.

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37

Rachapalli, Sireesha, Dr Sudheer Kasa, and Suresh Penagaluru. Effective Optimal Location of Multiple Distributed Generation System: Review and comparison of optimal DG placing algorithms performance with MATLAB coding. LAP LAMBERT Academic Publishing, 2020.

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38

Katsaggelos, Aggelos, and Guido M. Schuster. Rate-Distortion Based Video Compression: Optimal Video Frame Compression and Object Boundary Encoding. Springer, 1996.

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39

Ryan, William, Ivan Djordjevic, and Bane Vasic. Coding for Optical Channels. Springer, 2014.

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40

Ryan, William, Ivan Djordjevic, and Bane Vasic. Coding for Optical Channels. Springer, 2010.

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41

Yang, Guu-Chang. Optical Coding Theory with Prime. CRC Press, 2013. http://dx.doi.org/10.1201/b15117.

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42

Optical Coding Theory with Prime. Taylor & Francis Group, 2013.

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43

Yang, Guu-Chang, and Wing C. Kwong. Optical Coding Theory with Prime. Taylor & Francis Group, 2018.

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44

Kwong, Wing C. Optical Coding Theory with Prime. Taylor & Francis Group, 2013.

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45

Yang, Guu-Chang, and Wing C. Kwong. Optical Coding Theory with Prime. Taylor & Francis Group, 2018.

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46

Yang, Guu-Chang, and Wing C. Kwong. Optical Coding Theory with Prime. Taylor & Francis Group, 2018.

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47

Yang, Guu-Chang, and Wing C. Kwong. Optical Coding Theory with Prime. Taylor & Francis Group, 2018.

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48

Eliasmith, Chris. Neurocomputational Models: Theory, Application, Philosophical Consequences. Edited by John Bickle. Oxford University Press, 2009. http://dx.doi.org/10.1093/oxfordhb/9780195304787.003.0014.

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This article describes the neural engineering framework (NEF), a systematic approach to studying neural systems that has collected and extended a set of consistent methods that are highly general. The NEF draws heavily on past work in theoretical neuroscience, integrating work on neural coding, population representation, and neural dynamics to enable the construction of large-scale biologically plausible neural simulations. It is based on the principles that neural representations defined by a combination of nonlinear encoding and optimal linear decoding and that neural dynamics are characteri
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49

Amiri, Iraj Sadegh, Sayed Ehsan Alavi, and Sevia Mahdaliza Idrus. Soliton Coding for Secured Optical Communication Link. Springer, 2014.

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50

Meyers, Aaron J. Coding and modulation for pixelated optical transmission. 2004.

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