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Tesi sul tema "Data compression"

Autore: Grafiati

Pubblicato: 4 giugno 2021

Ultima modifica: 25 luglio 2025

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1

Williams, Ross Neil. "Adaptive data compression." Adelaide, 1989. http://web4.library.adelaide.edu.au/theses/09PH/09phw7262.pdf.

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Steinruecken, Christian. "Lossless data compression." Thesis, University of Cambridge, 2015. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.709134.

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3

Lindsay, Robert A., and B. V. Cox. "UNIVERSAL DATA COMPRESSION." International Foundation for Telemetering, 1985. http://hdl.handle.net/10150/615552.

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International Telemetering Conference Proceedings / October 28-31, 1985 / Riviera Hotel, Las Vegas, Nevada<br>Universal and adaptive data compression techniques have the capability to globally compress all types of data without loss of information but have the disadvantage of complexity and computation speed. Advances in hardware speed and the reduction of computational costs have made universal data compression feasible. Implementations of the Adaptive Huffman and Lempel-Ziv compression algorithms are evaluated for performance. Compression ratios versus run times for different size data files

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4

Radhakrishnan, Radhika. "Genome data modeling and data compression." abstract and full text PDF (free order & download UNR users only), 2007. http://0-gateway.proquest.com.innopac.library.unr.edu/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqdiss&rft_dat=xri:pqdiss:1447611.

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5

García, Sobrino Francisco Joaquín. "Sounder spectral data compression." Doctoral thesis, Universitat Autònoma de Barcelona, 2018. http://hdl.handle.net/10803/663984.

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IASI (Infrared Atmospheric Sounding Interferometer) es un espectrómetro basado en la transformada de Fourier diseñado para medir radiación infrarroja emitida por La Tierra. A partir de estas mediciones se generan datos con una precisión y resolución espectral sin precedentes. Esta información es útil para obtener perfiles de temperatura y humedad, así como concentraciones de gases traza, que son esenciales para la comprensión y monitorización del clima y para realizar previsiones atmosféricas. La alta resolución espectral, espacial y temporal de los datos producidos por el instrumento impli

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6

Du, Toit Benjamin David. "Data Compression and Quantization." Diss., University of Pretoria, 2014. http://hdl.handle.net/2263/79233.

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Data Compression Due to limitations in data storage and bandwidth, data of all types has often required compression. This need has spawned many different methods of compressing data. In certain situations the fidelity of the data can be compromised and unnecessary information can be discarded, while in other situations, the fidelity of the data is necessary for the data to be useful thereby requiring methods of reducing the data storage requirements without discarding any information. The theory of data compression has received much attention over the past half century, with some of the most i

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7

Roguski, Łukasz 1987. "High-throughput sequencing data compression." Doctoral thesis, Universitat Pompeu Fabra, 2017. http://hdl.handle.net/10803/565775.

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Thanks to advances in sequencing technologies, biomedical research has experienced a revolution over recent years, resulting in an explosion in the amount of genomic data being generated worldwide. The typical space requirement for storing sequencing data produced by a medium-scale experiment lies in the range of tens to hundreds of gigabytes, with multiple files in different formats being produced by each experiment. The current de facto standard file formats used to represent genomic data are text-based. For practical reasons, these are stored in compressed form. In most cases, such storage

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8

Frimpong-Ansah, K. "Adaptive data compression with memory." Thesis, Imperial College London, 1986. http://hdl.handle.net/10044/1/38008.

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9

Kretzmann, Jane Lee. "Compression of bitmapped graphic data." Thesis, Monterey, California. Naval Postgraduate School, 1989. http://hdl.handle.net/10945/25761.

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This paper explores the general topic of data compression, with emphasis on application of the techniques to graphic bitmapped data. Run-length encoding, statistical encoding (including Huffman codes), and relative encoding are examined and evaluated. A compression application of the Huffman coding of a run-length encoded file is designed and partially implemented in Chapter VII. A listing of the computer program which performs the compression is included as an appendix. Possibilities for further study are suggested. Data compression, Compression, Graphics, Bitmapped, Computer network, Run-len

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10

Barr, Kenneth C. (Kenneth Charles) 1978. "Energy aware lossless data compression." Thesis, Massachusetts Institute of Technology, 2002. http://hdl.handle.net/1721.1/87316.

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11

Walker, Wendy Tolle 1959. "Video data compression for telescience." Thesis, The University of Arizona, 1988. http://hdl.handle.net/10150/276830.

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This paper recommends techniques to use for data compression of video data used to point a telescope and from a camera observing a robot, for transmission from the proposed U.S. Space Station to Earth. The mathematical basis of data compression is presented, followed by a general review of data compression techniques. A technique that has wide-spread use in data compression of videoconferencing images is recommended for the robot observation data. Bit rates of 60 to 400 kbits/sec can be achieved. Several techniques are modelled to find a best technique for the telescope data. Actual starfield

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12

Horan, Sheila. "DATA COMPRESSION STATISTICS AND IMPLICATIONS." International Foundation for Telemetering, 1999. http://hdl.handle.net/10150/608754.

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International Telemetering Conference Proceedings / October 25-28, 1999 / Riviera Hotel and Convention Center, Las Vegas, Nevada<br>Bandwidth is a precious commodity. In order to make the best use of what is available, better modulation schemes need to be developed, or less data needs to be sent. This paper will investigate the option of sending less data via data compression. The structure and the entropy of the data determine how much lossless compression can be obtained for a given set of data. This paper shows the data structure and entropy for several actual telemetry data sets and the re

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13

Açikel, Ömer Fatih, and William E. Ryan. "Lossless Compression of Telemetry Data." International Foundation for Telemetering, 1996. http://hdl.handle.net/10150/611434.

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International Telemetering Conference Proceedings / October 28-31, 1996 / Town and Country Hotel and Convention Center, San Diego, California<br>Sandia National Laboratories is faced with the problem of losslessly compressing digitized data produced by various measurement transducers. Their interest is in compressing the data as it is created, i.e., in real time. In this work we examine a number of lossless compression schemes with an eye toward their compression efficiencies and compression speeds. The various algorithms are applied to data files supplied by Sandia containing actual vibration

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14

Karki, Maya, H. N. Shivashankar, and R. K. Rajangam. "IMAGE DATA COMPRESSION (USING DPCM)." International Foundation for Telemetering, 1991. http://hdl.handle.net/10150/612163.

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International Telemetering Conference Proceedings / November 04-07, 1991 / Riviera Hotel and Convention Center, Las Vegas, Nevada<br>Advances in computer technology and mass storage have paved the way for implementing advanced data compression techniques to improve the efficiency of transmission and storage of images. The present paper deals on the development of a data compression algorithm suitable for images received from satellites. The compression ratio of 1.91:1 is achieved with the proposed technique. The technique used is 1-D DPCM Coding. Hardware-relevant to coder has also been propos

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15

Thornton, Christopher James. "Concept learning as data compression." Thesis, University of Sussex, 1988. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.278809.

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16

Pötzelberger, Klaus, and Helmut Strasser. "Data Compression by Unsupervised Classification." Department of Statistics and Mathematics, WU Vienna University of Economics and Business, 1997. http://epub.wu.ac.at/974/1/document.pdf.

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This paper deals with a general class of classification methods which are related both to vector quantization in the sense of Pollard, [12], as well as to competitive learning in the sense of Kohonen, [10]. The basic duality of minimum variance partitioning and vector quantization known from statistical cluster analysis is shown to be true for this whole class of classification problems. The paper contains theoretical results like existence of optima, consistency of approximate optima and characterization of local optima as fixpoints of a fix point algorithm. A fix point algorithm is proposed

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17

Deng, Mo Ph D. Massachusetts Institute of Technology. "On compression of encrypted data." Thesis, Massachusetts Institute of Technology, 2016. http://hdl.handle.net/1721.1/106100.

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Thesis: S.M. in Electrical Engineering, Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2016.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (pages 93-96).<br>In this thesis, I took advantage of a model-free compression architecture, where the encoder only makes decision about coding and leaves to the decoder to apply the knowledge of the source for decoding, to attack the problem of compressing encrypted data. Results for compressing different sources encrypted by different class of ciphers are shown and analyz

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18

Al-Rababa'a, Ahmad. "Arithmetic bit recycling data compression." Doctoral thesis, Université Laval, 2016. http://hdl.handle.net/20.500.11794/26759.

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Tableau d’honneur de la Faculté des études supérieures et postdoctorales, 2015-2016<br>La compression des données est la technique informatique qui vise à réduire la taille de l'information pour minimiser l'espace de stockage nécessaire et accélérer la transmission des données dans les réseaux à bande passante limitée. Plusieurs techniques de compression telles que LZ77 et ses variantes souffrent d'un problème que nous appelons la redondance causée par la multiplicité d'encodages. La multiplicité d'encodages (ME) signifie que les données sources peuvent être encodées de différentes manières. D

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19

Dušák, Petr. "Fractal application in data compression." Master's thesis, Vysoká škola ekonomická v Praze, 2015. http://www.nusl.cz/ntk/nusl-201795.

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The mission of the Technology Transfer Programme Office is to increase impact on a society by transferring technologies developed by the European Space Agency. Method and Apparatus for compressing time series is a patented compression algorithm designed to be efficient as its purpose is to run on deep space probes or satellites. The algorithm is inspired by a method for fractal terrain generation, namely the midpoint displacement algorithm. This work introduces fractals, their application and modifying the patented algorithm, in order to achieve greater compression. The modification lies in mo

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20

Senecal, Joshua G. "Length-limited data transformation and compression /." For electronic version search Digital dissertations database. Restricted to UC campuses. Access is free to UC campus dissertations, 2005. http://uclibs.org/PID/11984.

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21

Arbring, Joel, and Patrik Hedström. "On Data Compression for TDOA Localization." Thesis, Linköping University, Information Coding, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-57274.

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<p>This master thesis investigates different approaches to data compression on common types of signals in the context of localization by estimating time difference of arrival (TDOA). The thesis includes evaluation of the compression schemes using recorded data, collected as part of the thesis work. This evaluation shows that compression is possible while preserving localization accuracy.</p><p>The recorded data is backed up with more extensive simulations using a free space propagation model without attenuation. The signals investigated are flat spectrum signals, signals using phase-shift keyi

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22

Røsten, Tage. "Seismic data compression using subband coding." Doctoral thesis, Norwegian University of Science and Technology, Faculty of Information Technology, Mathematics and Electrical Engineering, 2000. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-1487.

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23

Watkins, Bruce E. "Data compression using artificial neural networks." Thesis, Monterey, California. Naval Postgraduate School, 1991. http://hdl.handle.net/10945/25801.

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Approved for public release; distribution is unlimited<br>This thesis investigates the application of artificial neural networks for the compression of image data. An algorithm is developed using the competitive learning paradigm which takes advantage of the parallel processing and classification capability of neural networks to produce an efficient implementation of vector quantization. Multi-Stage, tree searched, and classification vector quantization codebook design techniques are adapted to the neural network design to reduce the computational cost and hardware requirements. The resu

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24

Lewis, Michael. "Data compression for digital elevation models." Thesis, University of South Wales, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.265470.

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25

Darakis, Emmanouil. "Advanced digital holographic data compression methods." Thesis, University of Strathclyde, 2007. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.438460.

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26

Reid, Mark Montgomery. "Path-dictated, lossless volumetric data compression." Thesis, University of Ulster, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.338194.

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27

Gooch, Mark. "High performance lossless data compression hardware." Thesis, Loughborough University, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.338008.

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28

Nunez, Yanez Jose Luis. "Gbit/second lossless data compression hardware." Thesis, Loughborough University, 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.392516.

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29

ROSA, JANAINA OLEINIK MOURA. "A STUDY OF BIOSEQUENCE DATA COMPRESSION." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2006. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=9762@1.

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PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO<br>A família de algoritmos BLAST é a mais utilizada pelos biólogos para a busca de similaridade entre biosseqüências, e por esta razão, melhoras nestes algoritmos, em suas estruturas de dados ou em seus métodos de acesso à memória secundária são muito importantes para o avanço das descobertas biológicas. Nesta dissertação, foi estudada detalhadamente uma versão do programa BLAST, analisando as suas estruturas de dados e os algoritmos que as manipulam. Além disso, foram realizadas medições de desempenho com o intuito de identificar os po

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30

ANJOS, FLAVIA MEDEIROS DOS. "REORGANIZATION AND COMPRESSION OF SEISMIC DATA." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2007. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=11337@1.

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CONSELHO NACIONAL DE DESENVOLVIMENTO CIENTÍFICO E TECNOLÓGICO<br>Dados sísmicos, utilizados principalmente na indústria de petróleo, costumam apresentar dimensões de dezenas de gigabytes e em alguns casos, centenas. Este trabalho apresenta propostas de manipulação destes dados que ajudem a contornar problemas enfrentados por aplicativos de processamento e interpretação sísmica ao trabalhar com arquivos deste porte. As propostas se baseiam em reorganização e compressão. O conhecimento do formato de utilização dos dados permite reestruturar seu armazenamento diminuindo o tempo gasto com a

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Tang, Wang-Rei 1975. "The optimization of data compression algorithms." Thesis, Massachusetts Institute of Technology, 2000. http://hdl.handle.net/1721.1/81553.

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32

Lovén, Johan. "Data Compression in a Vehicular Environment." Thesis, KTH, Signalbehandling, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-155396.

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Vehicles with sensors produce large amounts of data. Transmission of data is connectedwith costs. By using data compression, less data has to be transmitted, reducing priceof operation. A number of algorithms are evaluated through tests with GPS and accelerometerdata. Performance is measured based on time usage, compression ratio,and euclidean errors (in the case of lossy compression). No algorithm or combinationof algorithms is shown to outperform the others on all data and all metrics. Threedierent recommendations are made. For lossless data compression focused on speed, acombination of Move

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33

Smith, Daniel D. "DATA COMPRESSION IN PCM TELEMETRY SYSTEMS." International Foundation for Telemetering, 1986. http://hdl.handle.net/10150/615422.

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International Telemetering Conference Proceedings / October 13-16, 1986 / Riviera Hotel, Las Vegas, Nevada<br>The data capacity of aerospace PCM telemetry systems can be greatly improved by the application of data compression techniques, which exploit the redundancy in typical telemetry data. This paper describes the design concept for a compressed PCM (CPCM) telemetry system, and contrasts system design considerations to those involved in development of a conventional PCM system. Simulation results are presented depicting potential benefits from use of telemetry data compression on an upper-s

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RAJYALAKSHMI, P. S., and R. K. RAJANGAM. "DATA COMPRESSION SYSTEM FOR VIDEO IMAGES." International Foundation for Telemetering, 1986. http://hdl.handle.net/10150/615539.

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International Telemetering Conference Proceedings / October 13-16, 1986 / Riviera Hotel, Las Vegas, Nevada<br>In most transmission channels, bandwidth is at a premium and an important attribute of any good digital signalling scheme is to optimally utilise the bandwidth for transmitting the information. The Data Compression System in this way plays a significant role in the transmission of picture data from any Remote Sensing Satellite by exploiting the statistical properties of the imagery. The data rate required for transmission to ground can be reduced by using suitable compression technique

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35

Toufie, Moegamat Zahir. "Real-time loss-less data compression." Thesis, Cape Technikon, 2000. http://hdl.handle.net/20.500.11838/1367.

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Thesis (MTech (Information Technology))--Cape Technikon, Cape Town, 2000<br>Data stored on disks generally contain significant redundancy. A mechanism or algorithm that recodes the data to lessen the data size could possibly double or triple the effective data that could be stored on the media. One mechanism of doing this is by data compression. Many compression algorithms currently exist, but each one has its own advantages as well as disadvantages. The objective of this study', to formulate a new compression algorithm that could be implemented in a real-time mode in any file system

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Lum, Randall M. G. "Differential pulse code modulation data compression." Scholarly Commons, 1989. https://scholarlycommons.pacific.edu/uop_etds/2181.

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With the requirement to store and transmit information efficiently, an ever increasing number of uses of data compression techniques have been generated in diverse fields such as television, surveillance, remote sensing, medical processing, office automation, and robotics. Rapid increases in processing capabilities and the speed of complex integrated circuits make data compression techniques a prime candidate for application in the areas mentioned above. This report addresses, from a theoretical viewpoint, three major data compression techniques, Pixel Coding, Predictive Coding, and Transform

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37

Pratas, Diogo. "Compression and analysis of genomic data." Doctoral thesis, Universidade de Aveiro, 2016. http://hdl.handle.net/10773/16286.

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Doutoramento em Informática<br>Genomic sequences are large codi ed messages describing most of the structure of all known living organisms. Since the presentation of the rst genomic sequence, a huge amount of genomics data have been generated, with diversi ed characteristics, rendering the data deluge phenomenon a serious problem in most genomics centers. As such, most of the data are discarded (when possible), while other are compressed using general purpose algorithms, often attaining modest data reduction results. Several speci c algorithms have been proposed for the compression of

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Chen, Zhenghao. "Deep Learning for Visual Data Compression." Thesis, The University of Sydney, 2022. https://hdl.handle.net/2123/29729.

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With the tremendous success of neural networks, a few learning-based image codecs were proposed and outperformed those traditional image codecs. However, the field of learning-based compression research for other categories of visual data has remained much less explored. This thesis will investigate the effectiveness of deep learning for visual data compression and propose three end-to-end learning-based compression methods for respectively compressing standard videos, 3D volumetric images and stereo videos. First, we improve the existing learning-based video codecs by using a newly proposed

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Pizzolante, Raffaele. "Compression and protection of multidimensional data." Doctoral thesis, Universita degli studi di Salerno, 2015. http://hdl.handle.net/10556/1943.

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2013 - 2014<br>The main objective of this thesis is to explore and discuss novel techniques related to the compression and protection of multidimensional data (i.e., 3-D medical images, hyperspectral images, 3-D microscopy images and 5-D functional Magnetic Resonance Images). First, we outline a lossless compression scheme based on the predictive model, denoted as Medical Images Lossless Compression algorithm (MILC). MILC is characterized to provide a good trade-off between the compression performances and reduced usage of the hardware resources. Since in the medical and medical-relate

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Singh, Inderpreet. "New wavelet transforms and their applications to data compression." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2000. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape4/PQDD_0011/NQ52773.pdf.

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Lee, Joshua Ka-Wing. "A model-adaptive universal data compression architecture with applications to image compression." Thesis, Massachusetts Institute of Technology, 2017. http://hdl.handle.net/1721.1/111868.

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Thesis: S.M., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2017.<br>This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.<br>Cataloged from student-submitted PDF version of thesis.<br>Includes bibliographical references (pages 59-61).<br>In this thesis, I designed and implemented a model-adaptive data compression system for the compression of image data. The system is a realization and extension of the Model-Quantizer-Code-Separation Architecture for

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Portell, i. de Mora Jordi. "Payload data handling, telemetry and data compression systems for Gaia." Doctoral thesis, Universitat Politècnica de Catalunya, 2005. http://hdl.handle.net/10803/6585.

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Gaia, la nova missió astromètrica de la ESA amb un llançament previst pel 2011, observarà més de mil milions d'estels i altres objectes amb una exactitud sense precedents. Els seus ambiciosos objectius desbanquen completament les missions rivals d'altres agències. Al final de la seva vida útil es generarà el major i més complert mapa tridimensional de la nostra Galàxia.<br/>Una missió com aquesta suposa grans esforços tecnològics i de disseny ja que caldrà detectar, seleccionar i mesurar centenars d'estels cada segon, per enviar-ne posteriorment les dades cap a la Terra -a més d'un milió i mig

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Aydinoğlu, Behçet Halûk. "Stereo image compression." Diss., Georgia Institute of Technology, 1997. http://hdl.handle.net/1853/15447.

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Horan, Sheila B. "CURRENT STATUS OF DATA COMPRESSION IN TELEMETRY." International Foundation for Telemetering, 2004. http://hdl.handle.net/10150/605065.

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International Telemetering Conference Proceedings / October 18-21, 2004 / Town & Country Resort, San Diego, California<br>Reduction of bandwidth for signal transmission is of paramount concern to many in the telemetry and wireless industry. One way to reduce bandwidth is to reduce the amount data being sent. There are several techniques available to reduce the amount of data. This paper will review the various types of data compression currently in use for telemetry data and how much compression is achieved.

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Jones, Greg 1963-2017. "RADIX 95n: Binary-to-Text Data Conversion." Thesis, University of North Texas, 1991. https://digital.library.unt.edu/ark:/67531/metadc500582/.

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This paper presents Radix 95n, a binary to text data conversion algorithm. Radix 95n (base 95) is a variable length encoding scheme that offers slightly better efficiency than is available with conventional fixed length encoding procedures. Radix 95n advances previous techniques by allowing a greater pool of 7-bit combinations to be made available for 8-bit data translation. Since 8-bit data (i.e. binary files) can prove to be difficult to transfer over 7-bit networks, the Radix 95n conversion technique provides a way to convert data such as compiled programs or graphic images to printable ASC

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Haugen, Daniel. "Seismic Data Compression and GPU Memory Latency." Thesis, Norwegian University of Science and Technology, Department of Computer and Information Science, 2009. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-9973.

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<p>The gap between processing performance and the memory bandwidth is still increasing. To compensate for this gap various techniques have been used, such as using a memory hierarchy with faster memory closer to the processing unit. Other techniques that have been tested include the compression of data prior to a memory transfer. Bandwidth limitations exists not only at low levels within the memory hierarchy, but also between the central processing unit (CPU) and the graphics processing unit (GPU), suggesting the use of compression to mask the gap. Seismic datasets are often very large, e.g. s

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Aqrawi, Ahmed Adnan. "Effects of Compression on Data Intensive Algorithms." Thesis, Norges teknisk-naturvitenskapelige universitet, Institutt for datateknikk og informasjonsvitenskap, 2010. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-11797.

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In recent years, the gap between bandwidth and computational throughput has become a major challenge in high performance computing (HPC). Data intensive algorithms are particularly affected. by the limitations of I/O bandwidth and latency. In this thesis project, data compression is explored so that fewer bytes need to be read from disk. The computational capabilities of the GPU are then utilized for faster decompression. Seismic filtering algorithms, which are known to be very data intensive, are used as tests cases. In the thesis, both lossless and lossy compression algorithms are conside

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48

Olsson, Tom. "Baking And Compression For Dynamic Lighting Data." Thesis, Örebro universitet, Institutionen för naturvetenskap och teknik, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:oru:diva-45438.

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This report describes the development and prototype implementation of a method for baking and compression of lightmaps, in an environment with dynamic lights. The method described can achieve more than 95 % compression eciency, and can be easily tuned with only two parameters. Even without specic tuning, the prototype consistently achieves signalto- noise ratios above 30 dB, reaching 60 dB in some scenes. Compression is achieved in four steps, rst by using image segmentation and function approximation to reduce the data-size and then using a predictive quantizer approach based on the PNG-lters

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49

Alkharabsheh, Khaled S. "Image compression and its effect on data." Huntington, WV : [Marshall University Libraries], 2004. http://www.marshall.edu/etd/descript.asp?ref=462.

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50

Khanna, Rajiv. "Image data compression using multiple bases representation." Thesis, This resource online, 1990. http://scholar.lib.vt.edu/theses/available/etd-12302008-063722/.

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