Relevant bibliographies by topics / Coding

Academic literature on the topic 'Coding'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 August 2024

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Journal articles on the topic "Coding"

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Shevchuk, Yury Vladimirovich. "Vbinary: variable length integer coding revisited." Program Systems: Theory and Applications 9, no. 4 (November 30, 2018): 239–52. http://dx.doi.org/10.25209/2079-3316-2018-9-4-239-252.

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The article introduces Vbinary, a parametrized variable-length prefix integer coding. The coding is considered by means of examples in comparison with existing codings, including Golomb/Rice and Elias codings. A naming schema is proposed that allows to specify the coding parameters concisely. Vbinary coding utilizes unusual n-ary extension technique which makes the coding versatile, usable for both bit-based and byte-based data streams. By varying parameters, Vbinary coding can be made efficient for small numbers or large numbers, tailored to specific data distribution, tuned for efficient encoding and decoding. Potential uses for the coding are network protocols, on-disk and in-memory data representation, and final stages of data compression algorithms.
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Yu, Ren Kai, Jun Xuan Wang, You Ming Sun, and Yang Liu. "The Performance Analysis of Two Conventional Linear Pre-Coding Schemes in Massive MIMO System with Imperfect CSIT." Applied Mechanics and Materials 668-669 (October 2014): 1386–90. http://dx.doi.org/10.4028/www.scientific.net/amm.668-669.1386.

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For this paper, we analyze the achievable sum rate of zero-forcing (ZF) pre-coding and Maximum Ratio Transmission (MRT) pre-coding with Matrix Normalization in massive MIMO system with Imperfect CSIT. We compare the performances of these two pre-codings and find that ZF pre-coding outperforming MRT pre-coding in the high SNR region while MRT pre-coding outperforming ZF pre-coding in the low SNR region. Then we derive the threshold of the pre-coding selection and provide the procedure of pre-coding schemes selection.
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Takamura, Seishi. "Distributed Video Coding." Journal of the Institute of Image Information and Television Engineers 61, no. 4 (2007): 443–46. http://dx.doi.org/10.3169/itej.61.443.

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Aldha Rasjman Sayoga, I. Putu, Pande Ketut Sudiarta, and Nyoman Putra Sastra. "PENGEMBANGAN MODUL PRAKTIKUM UNTUK PERBANDINGAN UNJUK KERJA LINE CODING RZ DAN NRZ PADA JARINGAN FIBER OPTIK." Jurnal SPEKTRUM 8, no. 1 (March 28, 2021): 148. http://dx.doi.org/10.24843/spektrum.2021.v08.i01.p17.

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The important thing to consider in the process of sending optical fiber network signals is theselection of line coding types. Line coding is a process of converting digital data into digital signals sothat they can be transmitted in optical fiber networks. Line codings commonly used are NRZ and RZ.Therefore, this research discussed the comparison of the performance of NRZ and RZ line codings infiber-optic networks in terms of Q-Factor, BER, and Eye Diagram. The result of this research was thecharacteristic form of the electric signal line coding NRZ with one data element using one signalelement, while in the RZ coding line, one data element used two signal elements. The maximum risetime variable using the RZ coding line is 0.3 bits, while the NRZ coding line is 0.7 bits. The bestrectangle shape model using line coding RZ is sine while line coding NRZ is exponential. Themaximum bit rate using the RZ coding line is 11.5 Gbps while using the NRZ coding line is 18 Gbps.The maximum transmission distance using the RZ and NRZ coding line is 75 km. Another output ofthis research is a practicum module that can be used by students of the Electrical Engineering StudyProgram to understand optical communication systems, especially line coding RZ and NRZ. Based onthe results of student assessments of 87.6% and the post-test score which is higher than the pre-testscore, the practicum module is feasible as teaching material.
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Montanari, Andrea, and Rüdiger L. Urbanke. "Iterative Coding for Network Coding." IEEE Transactions on Information Theory 59, no. 3 (March 2013): 1563–72. http://dx.doi.org/10.1109/tit.2012.2236912.

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Waterhouse, Peter M., and Roger P. Hellens. "Coding in non-coding RNAs." Nature 520, no. 7545 (March 25, 2015): 41–42. http://dx.doi.org/10.1038/nature14378.

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M.A.P., Manimekalai. "Efficient Image Compression Using Improved Huffman Coding With Enhanced Lempel ZIV CODING Approach." Journal of Advanced Research in Dynamical and Control Systems 12, no. 01-Special Issue (February 13, 2020): 359–68. http://dx.doi.org/10.5373/jardcs/v12sp1/20201082.

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Wang, Kun, and Yun Pan. "The Test of Practical Network Coding." Applied Mechanics and Materials 380-384 (August 2013): 2585–88. http://dx.doi.org/10.4028/www.scientific.net/amm.380-384.2585.

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Network Coding is used to increase network throughput. In the network coding, network data packets will be encoded by the sender and the encoded data packets can be used by different receivers to recovery the same original data packets. This increases the network transmission efficiency. Coding on data will consume the computing resources and this becomes the bottleneck of network codings practicability. In this paper, we assume that the coding happens at the end of the network and we conduct some tests on the pc and hand-devices. Our results show that network coding can work well on current PC, and we need a native device support to make the network coding working on the hand-devices.
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Sasaki, M. "Toward implementation of coding for quantum sources and channels." Quantum Information and Computation 4, no. 6&7 (December 2004): 526–36. http://dx.doi.org/10.26421/qic4.6-7-11.

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We review our experiment on quantum source and channel codings, the most fundamental operations in quantum info-communications. For both codings, entangling letter states is essential. Our model is based on the polarization-location coding, and a quasi-single photon linear optics implementation to entangle the polarization and location degrees of freedom. Using single-photon events in a subset of possible cases, we simulate quantum coding-decoding operations for nonorthogonal states under the quasi-pure state condition. In the quantum channel coding, we double the spatial bandwidth (number of optical paths), and demonstrate the information more than double can be transmitted. In the quantum source coding, we halve the spatial bandwidth to compress the data and decompress the original data with the high fidelity approaching the theoretical limit.
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Francalanci, Lucia. "Coding." XII, 2020/1 (gennaio-marzo) 12, no. 1 (March 31, 2020): 95–101. http://dx.doi.org/10.35948/2532-9006/2020.3311.

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Dissertations / Theses on the topic "Coding"

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Zafar, Bilal. "Network Coding Employing Product Coding at Relay Stations." Thesis, KTH, Kommunikationssystem, CoS, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-48942.

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Network coding is a useful tool to increase the multicast capacity of networks. The traditional approach to network coding involving XOR operation has several limitations such as low robustness and can support only two users/packets at a time,per relay, in the mixing process to achieve optimal error performance. We propose the employment of product coding at the relay station instead of xor and investigate such a system where we use the relay to generate product codes by combining packets from different users.Our scheme uses relays to transmit only the redundancy of the product code instead of the whole product code.We seek to employ product coding can be able to support more than two users/packets per relay per slot,while maintaining a good error performance. Our scheme can accomodate as many users per relay as the costituent block code allows, thus reducing the number of relays required in the network. Product codes also offer increased robustness and flexibility as well as several other advantages, such as proper structure for burst error correction without extra interleaving. We compare the performance of such a scheme to the conventional xor scheme and see that our scheme not only reduces the number of relays required but gives improved error performance as well as. Another encouraging result is that our scheme starts to significantly outperform the conventional one by introducing a gain at the relay.
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Lehman, April Rasala 1977. "Network coding." Thesis, Massachusetts Institute of Technology, 2005. http://hdl.handle.net/1721.1/30162.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2005.
Includes bibliographical references (p. 115-118).
In the network coding problem, there are k commodities each with an associated message Mi, a set of sources that know Mi and a set of sinks that request Mi. Each edge in the graph may transmit any function of the messages. These functions define a network coding solution. We explore three topics related to network coding. First, for a model in which the messages and the symbols transmitted on edges are all from the same alphabet [sigma], we prove lower bounds on [the absolute value of sigma]. In one case, we prove [the absolute value of sigma] needs to be doubly-exponential in the size of the network. We also show that it is NP-hard to determine the smallest alphabet size admitting a solution. We then explore the types of functions that admit solutions. In a linear solution over a finite field F the symbol transmitted over each edge is a linear combination of the messages. We show that determining if there exists a linear solution is NP-hard for many classes of network coding problems. As a corollary, we obtain a solvable instance of the network coding problem that does not admit a linear solution over any field F. We then define a model of network coding in which messages are chosen from one alphabet, [gamma], and edges transmit symbols from another alphabet, [sigma]. In this model, we define the rate of a solution as log [gamma absolute value]/ log [sigma absolute value]. We then explore techniques to upper bound the maximum achievable rate for instances defined on directed and undirected graphs. We present a network coding instance in an undirected graph in which the maximum achievable rate is strictly smaller than the sparsity of the graph.
by April Rasala Lehman.
Ph.D.
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Mercier, Rachel Havens. "Coding AuthentiCity." Thesis, Massachusetts Institute of Technology, 2008. http://hdl.handle.net/1721.1/44334.

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Thesis (M.C.P.)--Massachusetts Institute of Technology, Dept. of Urban Studies and Planning, 2008.
Includes bibliographical references (p. 123-125).
This thesis analyzes the impact of form-based codes, focusing on two research questions: (1) What is the underlying motivation for adopting a form-based code? (2) What motivations have the most significant impact on development outcomes? This thesis answers these two questions through an evaluation of form-based code literature and an analysis of three recent form-based codes case studies: SmartCode for Taos, New Mexico, Downtown Specific Plan for Ventura, and SmartCode for Leander, Texas. For each case study, this thesis reviews the historical context of each community, the political process that brought about the form-based code, and the components of the coding document. After considering all three case studies, this thesis formulates conclusions about a range of motivations underlying the use of form-based codes as well as which motivations will have the most significant impact on how form-based codes will shape the built environment. Form-based coding is a relatively new regulatory tool, and has recently been standardized through the creation of the Form-Based Codes Institute (FBCI) in 2005. Using the FBCI's criteria for a form-based code, this thesis evaluates the components of each case study's coding document. Insight into each coding document is supplemented by personal interviews, site visits and background materials that paint a holistic picture of what each community is striving to achieve through a form-based code. The range of motivations for a form-based reached within the conclusion of this thesis include: 1. Preservation of Community Character 2. Creation of Community Character 3. Economic Development 4. Affordable Housing 5. Control of Sprawl.
(cont.) This list does not represent a complete range of motivations for all form-based codes, but rather the motivations uncovered from the cases reviewed in this thesis. Based on these motivations, the author makes a conclusion that Preservation of Community Character has the most significant impact on the built environment. This conclusion is based on literature on city form theory that suggests history provides security through the built form and thus is significant to the psychological and physical nourishment of its inhabitants. This psychological stability is more powerful than any other motivation and will have a lasting impact on how the city evolves into the future.
by Rachel Havens Mercier.
M.C.P.
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Мельник, Ю. "Coding theory." Thesis, Видавництво СумДУ, 2006. http://essuir.sumdu.edu.ua/handle/123456789/21790.

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Holt, Jim. "Coding Update." Digital Commons @ East Tennessee State University, 2009. https://dc.etsu.edu/etsu-works/6498.

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Holt, Jim. "Coding Pearls." Digital Commons @ East Tennessee State University, 2004. https://dc.etsu.edu/etsu-works/6502.

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Andersson, Tomas. "On error-robust source coding with image coding applications." Licentiate thesis, Stockholm : Department of Signals, Sensors and Systems, Royal Institute of Technology, 2006. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-4046.

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Liew, Tong Hooi. "Channel coding and space-time coding for wireless channels." Thesis, University of Southampton, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.341591.

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Adistambha, Kevin. "Embedded lossless audio coding using linear prediction and cascade coding." Access electronically, 2005. http://www.library.uow.edu.au/adt-NWU/public/adt-NWU20060724.122433/index.html.

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Chaiyaboonthanit, Thanit. "Image coding using wavelet transform and adaptive block truncation coding /." Online version of thesis, 1991. http://hdl.handle.net/1850/10913.

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Books on the topic "Coding"

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Kelly, James F. Coding. New York, NY: Dorling Kindersley, 2017.

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Heegard, Chris. Turbo Coding. Boston, MA: Springer US, 1999.

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Dommering, Egbert, and Lodewijk Asscher, eds. Coding Regulation. The Hague: T.M.C. Asser Press, 2006. http://dx.doi.org/10.1007/978-90-6704-595-7.

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Torres, Luis, and Murat Kunt, eds. Video Coding. Boston, MA: Springer US, 1996. http://dx.doi.org/10.1007/978-1-4613-1337-3.

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Heegard, Chris, and Stephen B. Wicker. Turbo Coding. Boston, MA: Springer US, 1999. http://dx.doi.org/10.1007/978-1-4757-2999-3.

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Zhang, Yu, and Mathias Funk. Coding Art. Berkeley, CA: Apress, 2021. http://dx.doi.org/10.1007/978-1-4842-6264-1.

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Cohen, Gérard, Antoine Lobstein, Gilles Zémor, and Simon Litsyn, eds. Algebraic Coding. Berlin, Heidelberg: Springer Berlin Heidelberg, 1992. http://dx.doi.org/10.1007/bfb0034333.

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Al Agha, Khaldoun, ed. Network Coding. Hoboken, NJ USA: John Wiley & Sons, Inc., 2012. http://dx.doi.org/10.1002/9781118562819.

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Bäckström, Tom. Speech Coding. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-50204-5.

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Cohen, G., S. Litsyn, A. Lobstein, and G. Zémor, eds. Algebraic Coding. Berlin, Heidelberg: Springer Berlin Heidelberg, 1994. http://dx.doi.org/10.1007/3-540-57843-9.

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Book chapters on the topic "Coding"

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Bauch, Gerhard, Claude Berrou, David Declercq, Alexandre Graell I Amat, Youssouf Ould-Cheikh-Mouhamedou, Yannick Saouter, Jossy Sayir, and Marcos B. S. Tavares. "Coding." In Error Control Coding for B3G/4G Wireless Systems, 1–48. Chichester, UK: John Wiley & Sons, Ltd, 2011. http://dx.doi.org/10.1002/9780470975220.ch1.

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Cafardi, Jennifer A. "Coding." In The Manual of Dermatology, 1–547. Boston, MA: Springer US, 2011. http://dx.doi.org/10.1007/978-1-4614-0938-0_1.

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Park, Seung L., Jacqueline Cuda, and Liron Pantanowitz. "Coding." In Practical Informatics for Cytopathology, 35–46. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-9581-9_5.

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Richharia, M. "Coding." In Satellite Communications Systems, 159–87. London: Macmillan Education UK, 1995. http://dx.doi.org/10.1007/978-1-349-11237-1_6.

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Ucan, Osman N., Hakan A. Cirpan, John Dunlop, Juan Pons, Ming Ma, Nader Zein, Phillip Benachour, et al. "Coding." In Third Generation Mobile Telecommunication Systems, 5–82. Berlin, Heidelberg: Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/978-3-642-56919-7_2.

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Richharia, M. "Coding." In Satellite Communication Systems, 173–200. London: Macmillan Education UK, 1999. http://dx.doi.org/10.1007/978-1-349-14964-3_6.

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Richharia, M. "Coding." In Satellite Communication Systems, 173–200. London: Macmillan Education UK, 1999. http://dx.doi.org/10.1007/978-1-349-15131-8_6.

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Usher, M. J., and C. G. Guy. "Coding." In Information and Communication for Engineers, 93–127. London: Macmillan Education UK, 1997. http://dx.doi.org/10.1007/978-1-349-13477-9_3.

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Jalote, Pankaj. "Coding." In An Integrated Approach to Software Engineering, 355–401. New York, NY: Springer New York, 1997. http://dx.doi.org/10.1007/978-1-4684-9312-2_8.

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Jalote, Pankaj. "Coding." In Springer Compass International, 234–70. New York, NY: Springer New York, 1991. http://dx.doi.org/10.1007/978-1-4757-3857-5_6.

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Conference papers on the topic "Coding"

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Delzanno, Giorgio, Giovanna Guerrini, Simone Perotto, Flavio Traverso, Sofia Mammoliti, and Susanna Staglianò. "Codinji: Welcome to the Coding Jungle!" In UMAP '20: 28th ACM Conference on User Modeling, Adaptation and Personalization. New York, NY, USA: ACM, 2020. http://dx.doi.org/10.1145/3386392.3399326.

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Schäfer, Michael, Jonathan Pfaff, Heiko Schwarz, Detlev Marpe, and Thomas Wiegand. "Nonlinear Transform Coding for VVC Intra Coding." In 2024 Picture Coding Symposium (PCS). IEEE, 2024. http://dx.doi.org/10.1109/pcs60826.2024.10566436.

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Arbabjolfaei, Fatemeh, Bernd Bandemer, and Young-Han Kim. "Index coding via random coding." In 2014 Iran Workshop on Communication and Information Theory (IWCIT). IEEE, 2014. http://dx.doi.org/10.1109/iwcit.2014.6842484.

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Szekiełda, Jakub, Adrian Dziembowski, and Dawid Mieloch. "The Influence of Coding Tools on Immersive Video Coding." In WSCG'2021 - 29. International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision'2021. Západočeská univerzita, 2021. http://dx.doi.org/10.24132/csrn.2021.3002.21.

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This paper summarizes the research on the influence of HEVC(High Efficiency Video Coding)configuration on immersive video coding. The research was focused on the newest MPEG standard for immersive video compression –MIV (MPEG Immersive Video). The MIV standard is used as a preprocessing step before the typical video compression thus is agnostic to the video codec. Uncommon characteristics of videos produced by MIV causes, that the typical configuration of the video encoder (optimized for compression of natural sequences) is not optimal for such content. The experimental results prove, that the performance of video compression for immersive video can be significantly increased when selected coding tools are being used.
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Szekiełda, Jakub, Adrian Dziembowski, and Dawid Mieloch. "The Influence of Coding Tools on Immersive Video Coding." In WSCG'2021 - 29. International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision'2021. Západočeská univerzita v Plzni, 2021. http://dx.doi.org/10.24132/csrn.2021.3101.21.

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This paper summarizes the research on the influence of HEVC (High Efficiency Video Coding) configuration on immersive video coding. The research was focused on the newest MPEG standard for immersive video compression – MIV (MPEG Immersive Video). The MIV standard is used as a preprocessing step before the typical video compression thus is agnostic to the video codec. Uncommon characteristics of videos produced by MIV causes, that the typical configuration of the video encoder (optimized for compression of natural sequences) is not optimal for such content. The experimental results prove, that the performance of video compression for immersive video can be significantly increased when selected coding tools are being used.
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Kwan-Jung Oh, Jaejoon Lee, and Du-Sik Park. "High priority intra coding method for depth video coding." In 2012 Picture Coding Symposium (PCS). IEEE, 2012. http://dx.doi.org/10.1109/pcs.2012.6213282.

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CHENCHAMMA, G., P. L. CHOWDARY, and K. SHALINI KATYAYANI. "SPEECH CODING WITH LINEAR PREDICTIVE CODING." In Proceedings of the International Conference on ICMEE 2009. WORLD SCIENTIFIC, 2009. http://dx.doi.org/10.1142/9789814289795_0001.

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Clarke, R. J. "Image coding and the coding standards." In 6th International Conference on Image Processing and its Applications. IEE, 1997. http://dx.doi.org/10.1049/cp:19970842.

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Liu, Yucheng, Parastoo Sadeghi, Fatemeh Arbabjolfaei, and Young-Han Kim. "Simplified Composite Coding for Index Coding." In 2018 IEEE International Symposium on Information Theory (ISIT). IEEE, 2018. http://dx.doi.org/10.1109/isit.2018.8437663.

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Ostermann, Joern. "3D information coding." In 2010 Picture Coding Symposium (PCS). IEEE, 2010. http://dx.doi.org/10.1109/pcs.2010.5702461.

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Reports on the topic "Coding"

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Cook, D., N. Marshall, E. Marwil, S. Matthews, and G. Mortensen. FORTRAN coding guidelines. Office of Scientific and Technical Information (OSTI), February 1990. http://dx.doi.org/10.2172/7184574.

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Brooks, Christopher, and Edward A. Lee. Ptolemy Coding Style. Fort Belvoir, VA: Defense Technical Information Center, September 2014. http://dx.doi.org/10.21236/ada624393.

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Heroux, Michael Allen, and Paul Michael Sexton. Epetra developers coding guidelines. Office of Scientific and Technical Information (OSTI), December 2003. http://dx.doi.org/10.2172/918292.

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Jones, Richard A. Adaptive Hybrid Picture Coding. Fort Belvoir, VA: Defense Technical Information Center, November 1986. http://dx.doi.org/10.21236/ada187586.

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Liang, Guanfeng, and Nitin Vaidya. When WatchDog Meets Coding. Fort Belvoir, VA: Defense Technical Information Center, May 2009. http://dx.doi.org/10.21236/ada555131.

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WINCHELL, D. F. NUCLEAR SCIENCE REFERENCES CODING MANUAL. Office of Scientific and Technical Information (OSTI), April 2007. http://dx.doi.org/10.2172/909949.

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WINCHELL, D. F. NUCLEAR SCIENCE REFERENCES CODING MANUAL. Office of Scientific and Technical Information (OSTI), May 2007. http://dx.doi.org/10.2172/909981.

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Ramavataram, S., and C. L. Dunford. Nuclear science references coding manual. Office of Scientific and Technical Information (OSTI), August 1996. http://dx.doi.org/10.2172/380332.

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Medard, Muriel, Keesook Han, Tracey Ho, and Ralf Koetter. Robust Self-Authenticating Network Coding. Fort Belvoir, VA: Defense Technical Information Center, November 2008. http://dx.doi.org/10.21236/ada586693.

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Topiwala, P. T. Rate-Adaptive Video Coding (RAVC). Fort Belvoir, VA: Defense Technical Information Center, May 2008. http://dx.doi.org/10.21236/ada482958.

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