Дисертації з теми "Processing algorithm"
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Berry, Thomas. "Algorithm engineering : string processing." Thesis, Liverpool John Moores University, 2002. http://researchonline.ljmu.ac.uk/4973/.
Повний текст джерелаD'Souza, Sammy Raymond. "Parallelizing a nondeterministic optimization algorithm." CSUSB ScholarWorks, 2007. https://scholarworks.lib.csusb.edu/etd-project/3084.
Повний текст джерелаSamara, Rafat. "TOP-K AND SKYLINE QUERY PROCESSING OVER RELATIONAL DATABASE." Thesis, Tekniska Högskolan, Högskolan i Jönköping, JTH. Forskningsmiljö Informationsteknik, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-20108.
Повний текст джерелаNosa, Ogbewi. "Signal Processing and patternrecognition algorithm for monitoringParkinson’s disease." Thesis, Högskolan Dalarna, Datateknik, 2006. http://urn.kb.se/resolve?urn=urn:nbn:se:du-2376.
Повний текст джерелаBrown, Derek William. "Systolic algorithm design for control and signal processing." Thesis, Queen's University Belfast, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.337644.
Повний текст джерелаHarp, J. G. "Algorithms and architectures for image processing." Thesis, University of Surrey, 1987. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.379431.
Повний текст джерелаKeränen, V. (Vesa). "Cryptographic algorithm benchmarking in mobile devices." Master's thesis, University of Oulu, 2014. http://urn.fi/URN:NBN:fi:oulu-201401141005.
Повний текст джерелаManfredsson, Johan. "Evaluation Tool for a Road Surface Algorithm." Thesis, Linköpings universitet, Datorseende, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-138936.
Повний текст джерелаHadimli, Kerem. "Processing Turkish Radiology Reports." Master's thesis, METU, 2011. http://etd.lib.metu.edu.tr/upload/12613280/index.pdf.
Повний текст джерелаbodies, and narrative free text reports describing the findings in these visualizations are written by medical doctors. The information within these narrative reports is required to be extracted for medical information systems. Turkish is an highly agglutinative language and this poses problems in information retrieval and extraction from Turkish free texts. In this thesis one rule-based and one data-driven alternate methods for information retrieval and structured information extraction from Turkish radiology reports are presented. Contrary to previous studies in medical NLP systems, both of these methods do not utilize any medical lexicon or ontology. Information extraction is performed on the level of extracting medically related phrases from the sentence. The aim is to measure baseline performance Turkish language can provide for medical information extraction and retrieval, in isolation of other factors.
Rullmann, Markus, Rainer Schaffer, Sebastian Siegel, and Renate Merker. "SYMPAD - A Class Library for Processing Parallel Algorithm Specifications." Universitätsbibliothek Chemnitz, 2007. http://nbn-resolving.de/urn:nbn:de:swb:ch1-200700971.
Повний текст джерелаPawar, Madhurima. "Routing algorithm for distributed Web documents." [Gainesville, Fla.] : University of Florida, 2001. http://etd.fcla.edu/etd/uf/2001/anp1304/MASTER1.pdf.
Повний текст джерелаTitle from first page of PDF file. Document formatted into pages; contains x, 52 p.; also contains graphics. Vita. Includes bibliographical references (p. 49-51).
Abdoel-Gawad, Farag Saleh. "Efficient hardware implementation of the CORDIC algorithm." Thesis, Liverpool John Moores University, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.299066.
Повний текст джерелаCorman, Etienne. "Functional representation of deformable surfaces for geometry processing." Thesis, Université Paris-Saclay (ComUE), 2016. http://www.theses.fr/2016SACLX075/document.
Повний текст джерелаCreating and understanding deformations of surfaces is a recurring theme in geometry processing. As smooth surfaces can be represented in many ways from point clouds to triangle meshes, one of the challenges is being able to compare or deform consistently discrete shapes independently of their representation. A possible answer is choosing a flexible representation of deformable surfaces that can easily be transported from one structure to another.Toward this goal, the functional map framework proposes to represent maps between surfaces and, to further extents, deformation of surfaces as operators acting on functions. This approach has been recently introduced in geometry processing but has been extensively used in other fields such as differential geometry, operator theory and dynamical systems, to name just a few. The major advantage of such point of view is to deflect challenging problems, such as shape matching and deformation transfer, toward functional analysis whose discretization has been well studied in various cases. This thesis investigates further analysis and novel applications in this framework. Two aspects of the functional representation framework are discussed.First, given two surfaces, we analyze the underlying deformation. One way to do so is by finding correspondences that minimize the global distortion. To complete the analysis we identify the least and most reliable parts of the mapping by a learning procedure. Once spotted, the flaws in the map can be repaired in a smooth way using a consistent representation of tangent vector fields.The second development concerns the reverse problem: given a deformation represented as an operator how to deform a surface accordingly? In a first approach, we analyse a coordinate-free encoding of the intrinsic and extrinsic structure of a surface as functional operator. In this framework a deformed shape can be recovered up to rigid motion by solving a set of convex optimization problems. Second, we consider a linearized version of the previous method enabling us to understand deformation fields as acting on the underlying metric. This allows us to solve challenging problems such as deformation transfer are solved using simple linear systems of equations
Skjei, Thomas. "Real-Time Fundamental Frequency Estimation Algorithm for Disconnected Speech." VCU Scholars Compass, 2011. http://scholarscompass.vcu.edu/etd/191.
Повний текст джерелаDanks, Jacob R. "Algorithm Optimizations in Genomic Analysis Using Entropic Dissection." Thesis, University of North Texas, 2015. https://digital.library.unt.edu/ark:/67531/metadc804921/.
Повний текст джерелаChandra, Manik. "Analytical study of a control algorithm based on emotional processing." Thesis, Texas A&M University, 2005. http://hdl.handle.net/1969.1/4914.
Повний текст джерелаGorrell, Genevieve. "Generalized Hebbian Algorithm for Dimensionality Reduction in Natural Language Processing." Doctoral thesis, Linköping : Department of Computer and Information Science, Linköpings universitet, 2006. http://www.bibl.liu.se/liupubl/disp/disp2006/tek1045s.pdf.
Повний текст джерелаHe, Jia Ying. "Detecting earthquake survivors by digital signal processing and beat algorithm." Thesis, University of Macau, 2015. http://umaclib3.umac.mo/record=b3335706.
Повний текст джерелаMahmoudi, Ramzi, and Ramzi Mahmoudi. "Real time image processing : algorithm parallelization on multicore multithread architecture." Phd thesis, Université Paris-Est, 2011. http://pastel.archives-ouvertes.fr/pastel-00680735.
Повний текст джерелаWright, Stephen. "An algorithm to improve ATM cell processing in SDH multiplexers." Thesis, University of Ulster, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.250777.
Повний текст джерелаGreenaway, Richard Scott. "Image processing and data analysis algorithm for application in haemocytometry." Thesis, University of Hertfordshire, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.263063.
Повний текст джерелаFlores, Daniel. "Evaluation of an image processing algorithm for scene change detection." To access this resource online via ProQuest Dissertations and Theses @ UTEP, 2008. http://0-proquest.umi.com.lib.utep.edu/login?COPT=REJTPTU0YmImSU5UPTAmVkVSPTI=&clientId=2515.
Повний текст джерелаMahmoudi, Ramzi. "Real time image processing : algorithm parallelization on multicore multithread architecture." Thesis, Paris Est, 2011. http://www.theses.fr/2011PEST1033/document.
Повний текст джерелаTopological features of an object are fundamental in image processing. In many applications,including medical imaging, it is important to maintain or control the topology of the image. Howeverthe design of such transformations that preserve topology and geometric characteristics of the inputimage is a complex task, especially in the case of parallel processing.Parallel processing is applied to accelerate computation by sharing the workload among multipleprocessors. In terms of algorithm design, parallel computing strategies profits from the naturalparallelism (called also partial order of algorithms) present in the algorithm which provides two main resources of parallelism: data and functional parallelism. Concerning architectural design, it is essential to link the spectacular evolution of parallel architectures and the parallel processing. In effect, if parallelization strategies become necessary, it is thanks to the considerable improvements in multiprocessing systems and the rise of multi-core processors. All these reasons make multiprocessing very practical. In the case of SMP machines, immediate sharing of data provides more flexibility in designing such strategies and exploiting data and functional parallelism, notably with the evolution of interconnection system between processors.In this perspective, we propose a new parallelization strategy, called SD&M (Split Distribute andMerge) strategy that cover a large class of topological operators. SD&M has been developed in orderto provide a parallel processing for many topological transformations.Based on this strategy, we proposed a series of parallel topological algorithm (new or adaptedversion). In the following we present our main contributions:(1)A new approach to compute watershed transform based on MSF transform, that is parallel,preserves the topology, does not need prior minima extraction and suited for SMP machines.Proposed algorithm makes use of Jean Cousty streaming approach and it does not require any sortingstep, or the use of any hierarchical queue. This contribution came after an intensive study of allexisting watershed transform in the discrete case.(2)A similar study on thinning transform was conducted. It concerns sixteen parallel thinningalgorithms that preserve topology. In addition to performance criteria, we introduce two qualitativecriteria, to compare and classify them. New classification criteria are based on the relationshipbetween the medial axis and the obtained homotopic skeleton. After this classification, we tried toget better results through the proposal of a new adapted version of Couprie's filtered thinningalgorithm by applying our strategy.(3)An enhanced computation method for topological smoothing through combining parallelcomputation of Euclidean Distance Transform using Meijster algorithm and parallel Thinning–Thickening processes using the adapted version of Couprie's algorithm already mentioned
Halverson, Ranette Hudson. "Efficient Linked List Ranking Algorithms and Parentheses Matching as a New Strategy for Parallel Algorithm Design." Thesis, University of North Texas, 1993. https://digital.library.unt.edu/ark:/67531/metadc278153/.
Повний текст джерелаAppelgren, Filip, and Måns Ekelund. "Performance Evaluation of a Signal Processing Algorithm with General-Purpose Computing on a Graphics Processing Unit." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-253816.
Повний текст джерелаGPUer (grafikprocessor) som traditionellt används för att rita grafik i datorer, används mer och mer till att utföra vanliga programmeringsuppgifter. Detta är för att de har en stor beräkningskraft, som kan ge dem ett övertag över vanliga CPUer (processor) i vissa uppgifter. Det här arbetet undersöker därför prestandaskillnaderna mellan en CPU och en GPU i en korrelations-algoritm samt vilka parametrar som har störst påverkan på prestanda. En kvantitativ metod har använts med hjälp av ett klock-bibliotek, som finns tillgängligt i C++, för att utföra tidtagning. Initial problemstorlek var satt till 28 och ökade sedan exponentiellt till 221. Resultaten visar att algoritmen är snabbare på en CPU vid mindre problemstorlekar. Däremot börjar GPUn prestera bättre än CPUn mellan problemstorlekar av 29 och 210. Det blev tydligt att GPUer tjänar på större problem, framför allt för att det tar mycket tid att involvera GPUn i algoritmen. Datäoverföringar och minnesallokering på GPUn tar tid, vilket blir tydligt vid små storlekar. Algoritmen passar sig inte heller speciellt bra för en parallell lösning, eftersom den innehåller mycket logik. En algoritm med design där exekveringstrådarna kan gå isär under exekvering, är helst att undvika eftersom mycket parallell prestanda tappas. Att minimera logik, datäoverföringar samt minnesallokeringar är viktiga delar för hög GPU-prestanda.
Hirotsu, Kenichi. "Neural network hardware with random weight change learning algorithm." Diss., Georgia Institute of Technology, 1993. http://hdl.handle.net/1853/15765.
Повний текст джерелаWall, Helene. "Context-Based Algorithm for Face Detection." Thesis, Linköping University, Department of Science and Technology, 2005. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-4171.
Повний текст джерелаFace detection has been a research area for more than ten years. It is a complex problem due to the high variability in faces and amongst faces; therefore it is not possible to extract a general pattern to be used for detection. This is what makes the face detection problem a challenge.
This thesis gives the reader a background to the face detection problem, where the two main approaches of the problem are described. A face detection algorithm is implemented using a context-based method in combination with an evolving neural network. The algorithm consists of two majors steps: detect possible face areas and within these areas detect faces. This method makes it possible to reduce the search space.
The performance of the algorithm is evaluated and analysed. There are several parameters that affect the performance; the feature extraction method, the classifier and the images used.
This work resulted in a face detection algorithm and the performance of the algorithm is evaluated and analysed. The analysis of the problems that occurred has provided a deeper understanding for the complexity of the face detection problem.
Yao, Yu [Verfasser]. "Model-based Algorithm Development with Focus on Biosignal Processing / Yu Yao." Wuppertal : Universitätsbibliothek Wuppertal, 2015. http://d-nb.info/1076916813/34.
Повний текст джерелаSatirapod, Chalermchon Surveying & Spatial Information Systems Faculty of Engineering UNSW. "Improving the GPS Data Processing Algorithm for Precise Static Relative Positioning." Awarded by:University of New South Wales. School of Surveying and Spatial Information Systems, 2002. http://handle.unsw.edu.au/1959.4/18244.
Повний текст джерелаChen, Chen. "An evaluation of a 2-way semijoin distributed query processing algorithm." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2001. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp04/MQ62199.pdf.
Повний текст джерелаBilhanan, Anuleka. "High level synthesis of an image processing algorithm for cancer detection." [Tampa, Fla.] : University of South Florida, 2004. http://purl.fcla.edu/fcla/etd/SFE0000303.
Повний текст джерелаHan, Seungju. "A family of minimum Renyi's error entropy algorithm for information processing." [Gainesville, Fla.] : University of Florida, 2007. http://purl.fcla.edu/fcla/etd/UFE0021428.
Повний текст джерелаSilva, Jesús, Palma Hugo Hernández, Núẽz William Niebles, David Ovallos-Gazabon, and Noel Varela. "Parallel Algorithm for Reduction of Data Processing Time in Big Data." Institute of Physics Publishing, 2020. http://hdl.handle.net/10757/652134.
Повний текст джерелаSavov, Emil. "On the LMS algorithm for high-speed adaptive digital signal processing." Thesis, University of Ottawa (Canada), 1986. http://hdl.handle.net/10393/5217.
Повний текст джерелаMansouri, Abdol-Reza 1962. "An algorithm for detecting line segments in digital pictures /." Thesis, McGill University, 1987. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=66185.
Повний текст джерелаTuvesson, Markus. "Implementation of the Weighted Filtered Backprojection Algorithm in the Dual-Energy Iterative Algorithm DIRA-3D." Thesis, Linköpings universitet, Institutionen för systemteknik, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-173583.
Повний текст джерелаMeng, Bojun. "Efficient intra prediction algorithm in H.264 /." View Abstract or Full-Text, 2003. http://library.ust.hk/cgi/db/thesis.pl?ELEC%202003%20MENG.
Повний текст джерелаIncludes bibliographical references (leaves 66-68). Also available in electronic version. Access restricted to campus users.
Mohammad, Maruf H. "Blind Acquisition of Short Burst with Per-Survivor Processing (PSP)." Thesis, Virginia Tech, 2002. http://hdl.handle.net/10919/46193.
Повний текст джерелаMaster of Science
Srinivasa, Manjunath Cheekur. "Nonlinear Structure Identification of Single Degree of Freedom System Using NARMAX Algorithm." University of Cincinnati / OhioLINK, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1504872945338834.
Повний текст джерелаHarter, Nathan M. "Development of a Single-Channel Direction Finding Algorithm." Thesis, Virginia Tech, 2007. http://hdl.handle.net/10919/31973.
Повний текст джерелаMaster of Science
He, Zhijun. "System And Algorithm Design For Varve Image Analysis System." Diss., The University of Arizona, 2007. http://hdl.handle.net/10150/196015.
Повний текст джерелаTsang, Kai Fung. "Motion estimation and compensation using fast mesh based algorithm /." View abstract or full-text, 2004. http://library.ust.hk/cgi/db/thesis.pl?ELEC%202004%20TSANG.
Повний текст джерелаIncludes bibliographical references (leaves 58-61). Also available in electronic version. Access restricted to campus users.
Groder, Seth. "Modeling and synthesis of the HD photo compression algorithm /." Online version of thesis, 2008. http://hdl.handle.net/1850/7118.
Повний текст джерелаOrdońẽz, Carlos. "Mining complex databases using the EM algorithm." Diss., Georgia Institute of Technology, 2000. http://hdl.handle.net/1853/8232.
Повний текст джерелаWang, He. "Advanced Electromyogram Signal Processing with an Emphasis on Simplified, Near-Optimal Whitening." Digital WPI, 2019. https://digitalcommons.wpi.edu/etd-theses/1338.
Повний текст джерелаGum, Teren. "A simple linear algorithm for computing edge-to-edge visibility in a polygon /." Thesis, McGill University, 1986. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=65508.
Повний текст джерелаAmaro, Ricardo Jorge Pina. "AAL SAFE: signal processing algorithm." Master's thesis, 2009. http://hdl.handle.net/10316/11931.
Повний текст джерела"An algorithm design environment for signal processing." Research Laboratory of Electronics, Massachusetts Institute of Technology, 1989. http://hdl.handle.net/1721.1/4203.
Повний текст джерелаAlso issued as Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1989.
Includes bibliographical references (p. 253-256).
Supported in part by the Defense Advanced Research Projects Agency and monitored by the Office of Naval Research. N00014-89-J-1489 Supported in part by the National Science Foundation. MIP 87-14969 Supported in part by Sanders Associates, Incorporated.
HUANG, YAO TIEN, and 黃耀田. "Application of EM algorithm to image processing." Thesis, 1996. http://ndltd.ncl.edu.tw/handle/80210703879458063194.
Повний текст джерела國立中山大學
應用數學研究所
84
EM(Expectation-Maximization) 法則是統計學中使用於"最大似然估計" (MLE, Maximum Likelihood Estimation) 的運算方法, EM 法則使用機 率分佈函數來表示影響影像的因子(如影像灰階值, 圖素的數目),而過 去的技術看來,並沒有任何一種技術能將影像數位化的複雜過程,像 EM 法則一樣,使用機率分佈函數來整合影響影像成像的各種複雜因素,所 以 EM 法則可以適用於影像處理領域的問題,因此近幾年來 EM 法則被應 用於醫學影像分析(如: 電腦斷層掃描圖),符號偵測, 參數估計,過濾 布窪松過程之時間延遲估計一類的問題上。在本篇論文中,我們應用 EM 法則於增強影像解析度的問題上,亦即既定有限解析度的掃描器獲取數位 影像後,經由考慮影響影像亮度值的所有成像因素來增強影像的解析度。 經由 EM 法則可以將影響影像解析度的因素 (諸如: 掃描過程中,光子照 射的情形; 感應器的分佈情形等) 以機率函數來表示,所以研究使用EM法 則來增強影像的解析度。EM 法則除了應用於影像解析度增強之外,亦可 以應用於影像的放大處理。過去影像放大的處理方法是使用線性內插法( linear interpolation)與重覆圖素法(simple duplication)。在本論文 中亦對以上三種放大的模擬結果做比較與探討。 The EM (expectation-maximization) algorithm is a broadly applicable method for calculating maximum likelihood estimates given incomplete data. EM algorithm has received considerable attention due to their computation feasibility in tomographic image reconstruction, symbol detection and parameter estimation. However, it is less recognized that EM algorithm can be equally applicable to image processing. No past techniques surveyed can incorporate the potentially complex nature of various image formation processes into a probability density function as EM procedure does. In this paper, we apply the EM algorithm to the image resolution enhancement, that is "Given the limited spatial resolution of sensor arrays, how can we best compensate the physical configuration of the underlying imaging digitization system and render the desired resolution of image cells ?" EM algorithm can incorporate these the potentially complex nature of various image formation processes (e.g. photons emission process, sensor sensitivity, etc.) into a probability density array. Hence, we use EM algorithm to enhance the image resolution. The EM algorithm can use not only in resolution enhancement but also in the image scaling. In the past, methods used for changing the scale of an image are simple duplication or linear interpolation. In the paper, the discussion of these three scaling methods are also presented.
Wang, Hong-Ming, and 王泓銘. "Object Removal Algorithm/Hardware in Image Processing." Thesis, 2004. http://ndltd.ncl.edu.tw/handle/07673837842783838507.
Повний текст джерела國立成功大學
電機工程學系碩博士班
92
We propose a novel algorithm for object removal in image processing. The proposed algorithm can filter and compensate the unwanted object in digital photograph. For different background texture, we present an object removal algorithm integrates weighted interpolation and sub-patch texture synthesis to fill the lost region. The sub-patch texture synthesis algorithm can past a line each time and weighted interpolation technique with block-smoothing method. The proposed regular algorithms are suitable to be integrated in smart digital camera due to the regularity. The comparison of previous algorithms is also provided in this thesis. We present a first algorithm used in constrained texture synthesis by regular synthesizing order. The proposed algorithm can achieve better performance, faster computation and regular architecture for VLSI design.