Academic literature on the topic 'Generic decoding'
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Journal articles on the topic "Generic decoding"
Guobin Shen, Guang-Ping Gao, Shipeng Li, Heung-Yeung Shum, and Ya-Qin Zhang. "Accelerate video decoding with generic GPU." IEEE Transactions on Circuits and Systems for Video Technology 15, no. 5 (May 2005): 685–93. http://dx.doi.org/10.1109/tcsvt.2005.846440.
Full textLax, R. F. "Generic interpolation polynomial for list decoding." Finite Fields and Their Applications 18, no. 1 (January 2012): 167–78. http://dx.doi.org/10.1016/j.ffa.2011.07.007.
Full textKushnerov, Alexander V., and Valery A. Lipnitski. "Generic BCH codes. Polynomial-norm error decoding." Journal of the Belarusian State University. Mathematics and Informatics, no. 2 (July 30, 2020): 36–48. http://dx.doi.org/10.33581/2520-6508-2020-2-36-48.
Full textDupuis, Frédéric, Jan Florjanczyk, Patrick Hayden, and Debbie Leung. "The locking-decoding frontier for generic dynamics." Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences 469, no. 2159 (November 8, 2013): 20130289. http://dx.doi.org/10.1098/rspa.2013.0289.
Full textJouguet, Paul, and Sebastien Kunz-Jacques. "High performance error correction for quantum key distribution using polar codes." Quantum Information and Computation 14, no. 3&4 (March 2014): 329–38. http://dx.doi.org/10.26421/qic14.3-4-8.
Full textXu, Liyan, Fabing Duan, Xiao Gao, Derek Abbott, and Mark D. McDonnell. "Adaptive recursive algorithm for optimal weighted suprathreshold stochastic resonance." Royal Society Open Science 4, no. 9 (September 2017): 160889. http://dx.doi.org/10.1098/rsos.160889.
Full textFlorescu, Dorian, and Daniel Coca. "A Novel Reconstruction Framework for Time-Encoded Signals with Integrate-and-Fire Neurons." Neural Computation 27, no. 9 (September 2015): 1872–98. http://dx.doi.org/10.1162/neco_a_00764.
Full textLi, Yinan, Jianan Lu, and Badrish Chandramouli. "Selection Pushdown in Column Stores using Bit Manipulation Instructions." Proceedings of the ACM on Management of Data 1, no. 2 (June 13, 2023): 1–26. http://dx.doi.org/10.1145/3589323.
Full textRybalov, A. N. "On the generic complexity of the decoding problem for linear codes." Prikladnaya diskretnaya matematika. Prilozhenie, no. 12 (September 1, 2019): 198–202. http://dx.doi.org/10.17223/2226308x/12/56.
Full textJia, Xiaojun, and Zihao Liu. "One-Shot M-Array Pattern Based on Coded Structured Light for Three-Dimensional Object Reconstruction." Journal of Control Science and Engineering 2021 (June 2, 2021): 1–16. http://dx.doi.org/10.1155/2021/6676704.
Full textDissertations / Theses on the topic "Generic decoding"
Florjanczyk, Jan. "The locking-decoding frontier for generic dynamics." Thesis, McGill University, 2011. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=106400.
Full textL'intuition que le montant des corrélations classiques entre deux systèmes sont limités par leur taille est incorrect en général pour les états quantiques. En cas de verrouillage, des mesures sur une paire de systèmes quantiques qui semblent être totalement décorrélées peuvent devenir corrélées au maximum avec une minuscule augmentation de la taille d'un des systèmes. Une nouvelle forme de verrouillage utilisant des canaux unitaire génériques est introduite et la définition de verrouillage est renforcée a base d'une mesure d'indiscernabilité. La nouvelle définition montre que l'information classique peut être arbitrairement bas jusqu'à ce qu'elle puisse être complètement décodée. Aux contraire des résultats précédents, des messages non-uniforme et l'intrication entre la paire de systèmes sont considérés. Auparavant, il était nécessaire d'avoir un registre explicite pour une "clé", cette nécessité est supprimée en faveure d'un sous-système quantique arbitraire. De plus, les résultats précédent considéraient que les mesures projective mais nous démontrons des effets de verrouillage même dans le cas où le récepteur est armé avec les mesures les plus générales. Nous trouvons l'effet de verrouillage générique et montrons des applications pour la sécurité entropique et pour un modèl d'évaporation des trous noirs.
Mahmudi, Ali. "The investigation into generic VHDL implementation of generalised minimum distance decoding for Reed Solomon codes." Thesis, University of Huddersfield, 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.417302.
Full textLeuschner, Jeff. "A new generic maximum-likelihood metric expression for space-time block codes with applications to decoding." Thesis, Kingston, Ont. : [s.n.], 2007. http://hdl.handle.net/1974/633.
Full textShi, Aishan. "Decoding the Genetic Code: Unraveling the Language of Scientific Paradigms." Thesis, The University of Arizona, 2013. http://hdl.handle.net/10150/297762.
Full textHalsteinli, Erlend. "Real-Time JPEG2000 Video Decoding on General-Purpose Computer Hardware." Thesis, Norwegian University of Science and Technology, Department of Electronics and Telecommunications, 2009. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-8996.
Full textThere is widespread use of compression in multimedia content delivery, e.g. within video on demand services and transport links between live events and production sites. The content must undergo compression prior to transmission in order to deliver high quality video and audio over most networks, this is especially true for high definition video content. JPEG2000 is a recent image compression standard and a suitable compression algorithm for high definition, high rate video. With its highly flexible embedded lossless and lossy compression scheme, JPEG2000 has a number of advantages over existing video codecs. The only evident drawbacks with respect to real-time applications, are that the computational complexity is quite high and that JPEG2000, being an image compression codec as opposed to video codec, typically has higher bandwidth requirements. Special-purpose hardware can deliver high performance, but is expensive and not easily updated. A JPEG2000 decoder application running on general-purpose computer hardware can complement solutions depending on special-purpose hardware and will experience performance scaling together with the available processing power. In addition, production costs will be none-existing, once developed. The application implemented in this project is a streaming media player. It receives a compressed video stream through an IP interface, decodes it frame by frame and presents the decoded frames in a window. The decoder is designed to better take advantage of the processing power available in today's desktop computers. Specifically, decoding is performed on both CPU and GPU in order to decode minimum 50 frames per second of a 720p JPEG2000 video stream. The CPU executed part of the decoder application is written in C++, based on the Kakadu SDK and involve all decoding steps up to and including reverse wavelet transform. The GPU executed part of the decoder is enabled by the CUDA programming language, and include luma upsampling and irreversible color transform. Results indicate that general purpose computer hardware today easily can decode JPEG2000 video at bit rates up to 45 Mbit/s. However, when the video stream is received at 50 fps through the IP interface, packet loss at the socket level limits the attained frame rate to about 45 fps at rates of 40 Mbit/s or lower. If this packet loss could be eliminated, real-time decoding would be obtained up to 40 Mbit/s. At rates above 40 Mbit/s, the attained frame rate is limited by the decoder performance and not the packet loss. Higher codestream rates should be endurable if reverse wavelet transform could be mapped from the CPU to the GPU, since the current pipeline is highly unbalanced.
Kessy, Regina. "Decoding the donor gaze : documentary, aid and AIDS in Africa." Thesis, University of Huddersfield, 2014. http://eprints.hud.ac.uk/id/eprint/23747/.
Full textAl-Wasity, Salim Mohammed Hussein. "Application of fMRI for action representation : decoding, aligning and modulating." Thesis, University of Glasgow, 2018. http://theses.gla.ac.uk/30761/.
Full textCarrier, Kevin. "Recherche de presque-collisions pour le décodage et la reconnaissance de codes correcteurs." Electronic Thesis or Diss., Sorbonne université, 2020. http://www.theses.fr/2020SORUS281.
Full textError correcting codes are tools whose initial function is to correct errors caused by imperfect communication channels. In a non-cooperative context, there is the problem of identifying unknown codes based solely on knowledge of noisy codewords. This problem can be difficult for certain code families, in particular LDPC codes which are very common in modern telecommunication systems. In this thesis, we propose new techniques to more easily recognize these codes. At the end of the 1970s, McEliece had the idea of redirecting the original function of codes to use in ciphers; thus initiating a family of cryptographic solutions which is an alternative to those based on number theory problems. One of the advantages of code-based cryptography is that it seems to withstand the quantum computing paradigm; notably thanks to the robustness of the generic decoding problem. The latter has been thoroughly studied for more than 60 years. The latest improvements all rely on using algorithms for finding pairs of points that are close to each other in a list. This is the so called near-collisions search problem. In this thesis, we improve the generic decoding by asking in particular for a new way to find close pairs. To do this, we use list decoding of Arikan's polar codes to build new fuzzy hashing functions. In this manuscript, we also deal with the search for pairs of far points. Our solution can be used to improve decoding over long distances. This new type of decoding finds very recent applications in certain signature models
Ramis, Zaldívar Juan Enrique. "Decoding the genetic landscape of pediatric and young adult germinal center-derived B-cell non-Hodgkin lymphoma." Doctoral thesis, Universitat de Barcelona, 2021. http://hdl.handle.net/10803/672372.
Full textKamel, Ehab. "Decoding cultural landscapes : guiding principles for the management of interpretation in cultural world heritage sites." Thesis, University of Nottingham, 2011. http://eprints.nottingham.ac.uk/11845/.
Full textBooks on the topic "Generic decoding"
Decoding your dreams. New York: H. Holt, 1988.
Find full textDecoding your dreams. London: Unwin Hyman, 1989.
Find full textLangs, Robert. Decoding your dreams. London: Unwin Paperbacks, 1990.
Find full textF, Gesteland Raymond, and SpringerLink (Online service), eds. Recoding: Expansion of Decoding Rules Enriches Gene Expression. New York, NY: Springer Science+Business Media, LLC, 2010.
Find full textBerghoff, Hartmut. Decoding Modern Consumer Societies. New York: Palgrave Macmillan, 2012.
Find full textDecoding the past: The psychohistorical approach. New Brunswick, N.J., U.S.A: Transaction Publishers, 1996.
Find full textDecoding the past: The psychohistorical approach. Berkeley: University of California Press, 1985.
Find full textTanzi, Rudolph E. Decoding darkness: The search for the genetic causes of Alzheimer's disease. Cambridge, Mass: Perseus Publishing, 2000.
Find full textTanzi, Rudolph E. Decoding darkness: The search for the genetic causes of Alzheimer's disease. Cambridge, Mass: Perseus Pub., 2000.
Find full textB, Parson Ann, ed. Decoding darkness: The search for the genetic causes of Alzheimer's disease. Cambridge, Mass: Perseus Publ., 2000.
Find full textBook chapters on the topic "Generic decoding"
Dupuis, Frédéric, Jan Florjanczyk, Patrick Hayden, and Debbie Leung. "The Locking-Decoding Frontier for Generic Dynamics." In Theory of Quantum Computation, Communication, and Cryptography, 23–38. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-54429-3_3.
Full textSheng, Mingyang, Yongqiang Ma, Kai Chen, and Nanning Zheng. "VAE-Based Generic Decoding via Subspace Partition and Priori Utilization." In IFIP Advances in Information and Communication Technology, 220–32. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-34107-6_18.
Full textPapadimitriou, Angeliki, Nikolaos Passalis, and Anastasios Tefas. "Decoding Generic Visual Representations from Human Brain Activity Using Machine Learning." In Lecture Notes in Computer Science, 597–606. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-11015-4_45.
Full textCassagne, Adrien, Bertrand Le Gal, Camille Leroux, Olivier Aumage, and Denis Barthou. "An Efficient, Portable and Generic Library for Successive Cancellation Decoding of Polar Codes." In Languages and Compilers for Parallel Computing, 303–17. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-29778-1_19.
Full textChailloux, André, Thomas Debris-Alazard, and Simona Etinski. "Classical and Quantum Algorithms for Generic Syndrome Decoding Problems and Applications to the Lee Metric." In Post-Quantum Cryptography, 44–62. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-81293-5_3.
Full textVinuesa, Carola G., and Matthew C. Cook. "Genetic Analysis of Systemic Autoimmunity." In Decoding the Genomic Control of Immune Reactions, 103–28. Chichester, UK: John Wiley & Sons, Ltd, 2007. http://dx.doi.org/10.1002/9780470062128.ch10.
Full textKeeling, Kim M., and David M. Bedwell. "Recoding Therapies for Genetic Diseases." In Recoding: Expansion of Decoding Rules Enriches Gene Expression, 123–46. New York, NY: Springer New York, 2009. http://dx.doi.org/10.1007/978-0-387-89382-2_6.
Full textFarabaugh, Philip J. "Programmed Alternative Decoding as Programmed Translational Errors." In Programmed Alternative Reading of the Genetic Code, 183–201. Boston, MA: Springer US, 1997. http://dx.doi.org/10.1007/978-1-4615-5999-3_9.
Full textKarupiah, Gunasegaran, Vijay Panchanathan, Isaac G. Sakala, and Geeta Chaudhri. "Genetic Resistance to Smallpox: Lessons from Mousepox." In Decoding the Genomic Control of Immune Reactions, 129–40. Chichester, UK: John Wiley & Sons, Ltd, 2007. http://dx.doi.org/10.1002/9780470062128.ch11.
Full textMin-Oo, Gundula, Mary M. Stevenson, Anny Fortin, and Philippe Gros. "Genetic Control of Host-Pathogen Interactions in Mice." In Decoding the Genomic Control of Immune Reactions, 156–68. Chichester, UK: John Wiley & Sons, Ltd, 2007. http://dx.doi.org/10.1002/9780470062128.ch13.
Full textConference papers on the topic "Generic decoding"
Bitzer, Sebastian, Alessio Pavoni, Violetta Weger, Paolo Santini, Marco Baldi, and Antonia Wachter-Zeh. "Generic Decoding of Restricted Errors." In 2023 IEEE International Symposium on Information Theory (ISIT). IEEE, 2023. http://dx.doi.org/10.1109/isit54713.2023.10206983.
Full textBitzer, Sebastian, Julian Renner, Antonia Wachter-Zeh, and Violetta Weger. "Generic Decoding in the Cover Metric." In 2023 IEEE Information Theory Workshop (ITW). IEEE, 2023. http://dx.doi.org/10.1109/itw55543.2023.10160246.
Full textPuchinger, Sven, Julian Renner, and Johan Rosenkilde. "Generic Decoding in the Sum-Rank Metric." In 2020 IEEE International Symposium on Information Theory (ISIT). IEEE, 2020. http://dx.doi.org/10.1109/isit44484.2020.9174497.
Full textBrakensiek, Joshua, Sivakanth Gopi, and Visu Makam. "Generic Reed-Solomon Codes Achieve List-Decoding Capacity." In STOC '23: 55th Annual ACM Symposium on Theory of Computing. New York, NY, USA: ACM, 2023. http://dx.doi.org/10.1145/3564246.3585128.
Full text"HDL LIBRARY OF PROCESSING UNITS FOR GENERIC AND DVB-S2 LDPC DECODING." In International Conference on Security and Cryptography. SciTePress - Science and and Technology Publications, 2006. http://dx.doi.org/10.5220/0001570000170024.
Full textHou, TianQi, YuHao Liu, Teng Fu, and Jean Barbier. "Sparse superposition codes under VAMP decoding with generic rotational invariant coding matrices." In 2022 IEEE International Symposium on Information Theory (ISIT). IEEE, 2022. http://dx.doi.org/10.1109/isit50566.2022.9834843.
Full textJanakiram, Balaji, M. Girish Chandra, B. S. Adiga, S. G. Harihara, and P. Balamuralidhar. "A generic conflict-free architecture for decoding LDPC codes using Perfect Difference Networks." In 2010 Australian Communications Theory Workshop (AusCTW). IEEE, 2010. http://dx.doi.org/10.1109/ausctw.2010.5426777.
Full textLeuschner, Jeff, and Shahram Yousefi. "A New Generic Maximum-Likelihood Metric Expression for Space-Time Block Codes With Applications To Decoding." In 2007 41st Annual Conference on Information Sciences and Systems. IEEE, 2007. http://dx.doi.org/10.1109/ciss.2007.4298429.
Full textArava, V. K. Prasad, Manhwee Jo, HyoukJoong Lee, and Kiyoung Choi. "A Generic Design for Encoding and Decoding Variable Length Codes in Multi-codec Video Processing Engines." In 2008 IEEE Computer Society Annual Symposium on VLSI. IEEE, 2008. http://dx.doi.org/10.1109/isvlsi.2008.49.
Full textQian, Qiao, Minlie Huang, Haizhou Zhao, Jingfang Xu, and Xiaoyan Zhu. "Assigning Personality/Profile to a Chatting Machine for Coherent Conversation Generation." In Twenty-Seventh International Joint Conference on Artificial Intelligence {IJCAI-18}. California: International Joint Conferences on Artificial Intelligence Organization, 2018. http://dx.doi.org/10.24963/ijcai.2018/595.
Full textReports on the topic "Generic decoding"
Loughry, Thomas A. General Purpose Graphics Processing Unit Based High-Rate Rice Decompression and Reed-Solomon Decoding. Office of Scientific and Technical Information (OSTI), February 2015. http://dx.doi.org/10.2172/1170513.
Full textZhang, Hongbin, Shahal Abbo, Weidong Chen, Amir Sherman, Dani Shtienberg, and Frederick Muehlbauer. Integrative Physical and Genetic Mapping of the Chickpea Genome for Fine Mapping and Analysis of Agronomic Traits. United States Department of Agriculture, March 2010. http://dx.doi.org/10.32747/2010.7592122.bard.
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