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Статті в журналах з теми "Coding, information theory and compression"
KUNT, MURAT. "PROGRESS IN HIGH COMPRESSION IMAGE CODING." International Journal of Pattern Recognition and Artificial Intelligence 02, no. 03 (September 1988): 387–405. http://dx.doi.org/10.1142/s0218001488000236.
Повний текст джерелаWei, Dahuan, and Gang Feng. "Compression and Storage Algorithm of Key Information of Communication Data Based on Backpropagation Neural Network." Mathematical Problems in Engineering 2022 (April 14, 2022): 1–9. http://dx.doi.org/10.1155/2022/2885735.
Повний текст джерелаZhou, Dale, Christopher W. Lynn, Zaixu Cui, Rastko Ciric, Graham L. Baum, Tyler M. Moore, David R. Roalf, et al. "Efficient coding in the economics of human brain connectomics." Network Neuroscience 6, no. 1 (2022): 234–74. http://dx.doi.org/10.1162/netn_a_00223.
Повний текст джерелаROMEO, AUGUST, ENRIQUE GAZTAÑAGA, JOSE BARRIGA, and EMILIO ELIZALDE. "INFORMATION CONTENT IN UNIFORMLY DISCRETIZED GAUSSIAN NOISE: OPTIMAL COMPRESSION RATES." International Journal of Modern Physics C 10, no. 04 (June 1999): 687–716. http://dx.doi.org/10.1142/s0129183199000528.
Повний текст джерелаSGARRO, ANDREA, and LIVIU PETRIŞOR DINU. "POSSIBILISTIC ENTROPIES AND THE COMPRESSION OF POSSIBILISTIC DATA." International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 10, no. 06 (December 2002): 635–53. http://dx.doi.org/10.1142/s0218488502001697.
Повний текст джерелаSilverstein, Steven M., Michael Wibral, and William A. Phillips. "Implications of Information Theory for Computational Modeling of Schizophrenia." Computational Psychiatry 1 (December 2017): 82–101. http://dx.doi.org/10.1162/cpsy_a_00004.
Повний текст джерелаXu, Jie, Xiao Lin Jiang, and Xiao Yang Yu. "Based on Compression Sensing of Video Coding in Robot Servo System." Applied Mechanics and Materials 241-244 (December 2012): 1913–17. http://dx.doi.org/10.4028/www.scientific.net/amm.241-244.1913.
Повний текст джерелаArora, H. D., and Anjali Dhiman. "Comparative Study of Generalized Quantitative-Qualitative Inaccuracy Fuzzy Measures for Noiseless Coding Theorem and 1:1 Codes." International Journal of Mathematics and Mathematical Sciences 2015 (2015): 1–6. http://dx.doi.org/10.1155/2015/258675.
Повний текст джерелаEt. al., G. Megala,. "State-Of-The-Art In Video Processing: Compression, Optimization And Retrieval." Turkish Journal of Computer and Mathematics Education (TURCOMAT) 12, no. 5 (April 11, 2021): 1256–72. http://dx.doi.org/10.17762/turcomat.v12i5.1793.
Повний текст джерелаVoges, Jan, Tom Paridaens, Fabian Müntefering, Liudmila S. Mainzer, Brian Bliss, Mingyu Yang, Idoia Ochoa, Jan Fostier, Jörn Ostermann, and Mikel Hernaez. "GABAC: an arithmetic coding solution for genomic data." Bioinformatics 36, no. 7 (December 12, 2019): 2275–77. http://dx.doi.org/10.1093/bioinformatics/btz922.
Повний текст джерелаДисертації з теми "Coding, information theory and compression"
Zemouri, Rachid. "Data compression of speech using sub-band coding." Thesis, University of Newcastle Upon Tyne, 1991. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.316094.
Повний текст джерелаReid, Mark Montgomery. "Path-dictated, lossless volumetric data compression." Thesis, University of Ulster, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.338194.
Повний текст джерелаShih, An-Zen. "Fractal compression analysis of superdeformed nucleus data." Thesis, University of Liverpool, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.266091.
Повний текст джерелаTang, P. S. "Data compression for high precision digital waveform recording." Thesis, City University London, 1988. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.384076.
Повний текст джерелаYamazato, Takaya, Iwao Sasase, and Shinsaku Mori. "Interlace Coding System Involving Data Compression Code, Data Encryption Code and Error Correcting Code." IEICE, 1992. http://hdl.handle.net/2237/7844.
Повний текст джерелаJiang, Jianmin. "Multi-media data compression and real-time novel architectures implementation." Thesis, University of Southampton, 1993. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.239417.
Повний текст джерелаReeder, Brian Martin. "Application of artificial neural networks for spacecraft instrument data compression." Thesis, University of Sussex, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.362216.
Повний текст джерелаBeirami, Ahmad. "Network compression via network memory: fundamental performance limits." Diss., Georgia Institute of Technology, 2014. http://hdl.handle.net/1853/53448.
Повний текст джерелаFloor, Pål Anders. "On the Theory of Shannon-Kotel'nikov Mappings in Joint Source-Channel Coding." Doctoral thesis, Norwegian University of Science and Technology, Faculty of Information Technology, Mathematics and Electrical Engineering, 2008. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-2193.
Повний текст джерелаIn this thesis an approach to joint source-channel coding using direct source to channel mappings is studied. The system studied communicates i.i.d. Gaussian sources on a point-to-point Gaussian memoryless channel with limited feedback (supporting channel state information at most). The mappings, named Shannon-Kotel'nikov (SK) mappings, are memoryless mappings between the source space of dimension M and the channel space of dimension N. Such mappings can be used for error control when M
The reason for studying SK-mappings is that they are delay free, robust against varying channel conditions, and have quite good performance at low complexity.
First a theory for determining and categorizing the distortion using SK-mappings for communication is introduced and developed. This theory is further used to show that SK-mappings can reach the information theoretical bound optimal performance theoretically attainable (OPTA) when their dimension approach infinity.
One problem is to determine the overall optimal geometry of the SK-mappings. Indications on the overall geometry can be found by studying the codebooks and channel constellations of power constrained channel optimized vector quantizers (PCCOVQ). The PCCOVQ algorithm will find the optimal placing of quantizer representation vectors in the source space and channel symbols in the channel space. A PCCOVQ algorithm giving well performing mappings for the dimension reduction case has been found in the past. In this thesis the PCCOVQ algorithm is modified to give well performing dimension expanding mappings for scalar sources, and 1:2 and 1:3 PCCOVQ examples are given.
Some example SK-mappings are proposed and analyzed. 2:1 and 1:2 PCCOVQ mappings are used as inspiration for making 2:1 and 1:2 SK-mappings based on the Archimedean spiral. Further 3:1, 4:1, 3:2 and 2:3 SK-mappings are found and analyzed. All example SK-mappings are modeled mathematically using the proposed theory on SK-mappings. These mathematical models are further used to find the optimal coefficients for all the proposed SK-mappings as a function of the channel signal-to-noise ratio (CSNR), making adaptations to varying channel conditions simple.
Zhao, Jing. "Information theoretic approach for low-complexity adaptive motion estimation." [Gainesville, Fla.] : University of Florida, 2005. http://purl.fcla.edu/fcla/etd/UFE0013068.
Повний текст джерелаКниги з теми "Coding, information theory and compression"
Moffat, Alistair. Compression and Coding Algorithms. Boston, MA: Springer US, 2002.
Знайти повний текст джерелаAndrew, Turpin, ed. Compression and coding algorithms. Boston: Kluwer Academic Publishers, 2002.
Знайти повний текст джерелаThe mathematics of coding theory: Information, compression, error correction, and finite fields. Upper Saddle River, NJ: Pearson Prentice Hall, 2004.
Знайти повний текст джерелаManstetten, Dietrich. Schranken für die Redundanz des Huffman-Codes. Heidelberg: A. Hüthig, 1988.
Знайти повний текст джерелаKrichevsky, Rafail. Universal Compression and Retrieval. Dordrecht: Springer Netherlands, 1994.
Знайти повний текст джерелаWu 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.
Знайти повний текст джерелаMerhav, Neri. Fast inverse motion compensation algorithms for MPEG-2 and for partial DCT information. Palo Alto, CA: Hewlett-Packard Laboratories, Technical Publications Department, 1996.
Знайти повний текст джерелаRamamohan, 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.
Знайти повний текст джерелаSchuster, Guido M. Rate-distortion based video compression: Optimal video frame compression and object boundary encoding. Boston: Kluwer Academic Publishers, 1997.
Знайти повний текст джерелаHamming, R. W. Coding and information theory. 2nd ed. Englewood Cliffs, NJ: Prentice-Hall, 1986.
Знайти повний текст джерелаЧастини книг з теми "Coding, information theory and compression"
Caire, Giuseppe, Shlomo Shamai, Amin Shokrollahi, and Sergio Verdú. "Fountain codes for lossless data compression." In Algebraic Coding Theory and Information Theory, 1–20. Providence, Rhode Island: American Mathematical Society, 2005. http://dx.doi.org/10.1090/dimacs/068/01.
Повний текст джерелаIvaniš, Predrag, and Dušan Drajić. "Data Compression (Source Encoding)." In Information Theory and Coding - Solved Problems, 45–90. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-49370-1_3.
Повний текст джерелаGibson, Jerry. "Lossless Source Coding." In Information Theory and Rate Distortion Theory for Communications and Compression, 29–48. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-031-01680-6_3.
Повний текст джерелаGibson, Jerry. "Rate Distortion Theory and Lossy Source Coding." In Information Theory and Rate Distortion Theory for Communications and Compression, 81–102. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-031-01680-6_5.
Повний текст джерелаGray, Robert M. "Source Coding Theorems." In Entropy and Information Theory, 241–75. New York, NY: Springer New York, 1990. http://dx.doi.org/10.1007/978-1-4757-3982-4_11.
Повний текст джерелаGray, Robert M. "Source Coding Theorems." In Entropy and Information Theory, 295–334. Boston, MA: Springer US, 2011. http://dx.doi.org/10.1007/978-1-4419-7970-4_12.
Повний текст джерелаFlueckiger, Gerald E. "Information Theory and Coding." In Control, Information, and Technological Change, 101–18. Dordrecht: Springer Netherlands, 1995. http://dx.doi.org/10.1007/978-94-011-0377-0_6.
Повний текст джерелаHayashi, Masahito. "Source Coding in Quantum Systems." In Quantum Information Theory, 569–605. Berlin, Heidelberg: Springer Berlin Heidelberg, 2016. http://dx.doi.org/10.1007/978-3-662-49725-8_10.
Повний текст джерелаBorda, Monica. "Source Coding." In Fundamentals in Information Theory and Coding, 53–119. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-20347-3_3.
Повний текст джерелаBorda, Monica. "Channel Coding." In Fundamentals in Information Theory and Coding, 209–387. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-20347-3_5.
Повний текст джерелаТези доповідей конференцій з теми "Coding, information theory and compression"
Yang, Yuxiang, Ge Bai, Giulio Chiribella, and Masahito Hayashi. "Compression for quantum population coding." In 2017 IEEE International Symposium on Information Theory (ISIT). IEEE, 2017. http://dx.doi.org/10.1109/isit.2017.8006874.
Повний текст джерелаYang Yang and Zixiang Xiong. "Distributed source coding without Slepian-Wolf compression." In 2009 Information Theory and Applications Workshop (ITA). IEEE, 2009. http://dx.doi.org/10.1109/ita.2009.5044974.
Повний текст джерелаYang Yang and Zixiang Xiong. "Distributed source coding without Slepian-Wolf compression." In 2009 IEEE International Symposium on Information Theory - ISIT. IEEE, 2009. http://dx.doi.org/10.1109/isit.2009.5205621.
Повний текст джерела"Source Coding and Data Compression." In 2021 IEEE 3rd International Conference on Advanced Trends in Information Theory (ATIT). IEEE, 2021. http://dx.doi.org/10.1109/atit54053.2021.9678788.
Повний текст джерелаSyed Usama Khalid and Muhammad Asim Noor. "UR coding - a novel algorithm for data compression." In 2010 IEEE International Conference on Information Theory and Information Security (ICITIS). IEEE, 2010. http://dx.doi.org/10.1109/icitis.2010.5688740.
Повний текст джерелаHucke, Danny, and Markus Lohrey. "Universal tree source coding using grammar-based compression." In 2017 IEEE International Symposium on Information Theory (ISIT). IEEE, 2017. http://dx.doi.org/10.1109/isit.2017.8006830.
Повний текст джерелаAsnani, Himanshu, Ilan Shomorony, A. Salman Avestimehr, and Tsachy Weissman. "Operational extremality of Gaussianity in network compression, communication, and coding." In 2013 IEEE Information Theory Workshop (ITW 2013). IEEE, 2013. http://dx.doi.org/10.1109/itw.2013.6691220.
Повний текст джерелаHo, Siu-Wai, Lifeng Lai, and Alex Grant. "On the separation of encryption and compression in secure distributed source coding." In 2011 IEEE Information Theory Workshop (ITW). IEEE, 2011. http://dx.doi.org/10.1109/itw.2011.6089527.
Повний текст джерелаSi, Hongbo, O. Ozan Koyluoglu, and Sriram Vishwanath. "Lossy compression of exponential and laplacian sources using expansion coding." In 2014 IEEE International Symposium on Information Theory (ISIT). IEEE, 2014. http://dx.doi.org/10.1109/isit.2014.6875395.
Повний текст джерелаWang, Runxin, Junya Honda, Hirosuke Yamamoto, and Rongke Liu. "FV polar coding for lossy compression with an improved exponent." In 2015 IEEE International Symposium on Information Theory (ISIT). IEEE, 2015. http://dx.doi.org/10.1109/isit.2015.7282709.
Повний текст джерелаЗвіти організацій з теми "Coding, information theory and compression"
Moran, William. Coding Theory Information Theory and Radar. Fort Belvoir, VA: Defense Technical Information Center, September 2005. http://dx.doi.org/10.21236/ada456510.
Повний текст джерелаCalderbank, Arthur R. Coding Theory Information Theory and Radar. Fort Belvoir, VA: Defense Technical Information Center, January 2005. http://dx.doi.org/10.21236/ada434253.
Повний текст джерела