Dissertations / Theses on the topic 'Wavelet transforms'
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Shi, Fangmin. "Wavelet transforms for stereo imaging." Thesis, University of South Wales, 2002. https://pure.southwales.ac.uk/en/studentthesis/wavelet-transforms-for-stereo-imaging(65abb68f-e30b-4367-a3a8-b7b3df85f566).html.
Full textParker, Kristen Michelle. "Watermarking with wavelet transforms." Master's thesis, Mississippi State : Mississippi State University, 2007. http://library.msstate.edu/etd/show.asp?etd=etd-11062007-153859.
Full textRivera, Vega Nestor. "Reservoir characterization using wavelet transforms." Texas A&M University, 2003. http://hdl.handle.net/1969.1/482.
Full textSilva, Eduardo Antonio Barros da. "Wavelet transforms for image coding." Thesis, University of Essex, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.282495.
Full textChoe, Gwangwoo. "Merged arithmetic for wavelet transforms /." Full text (PDF) from UMI/Dissertation Abstracts International, 2000. http://wwwlib.umi.com/cr/utexas/fullcit?p3004235.
Full textBoettcher, Joseph Bradley. "VIDEO CODING WITH 3D WAVELET TRANSFORMS." MSSTATE, 2008. http://sun.library.msstate.edu/ETD-db/theses/available/etd-11082007-072709/.
Full textMasud, Shahid. "VLSI systems for discrete wavelet transforms." Thesis, Queen's University Belfast, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.300782.
Full textLucrecio, Armando. "ISAR imaging using Fourier and wavelet transforms." Thesis, Monterey, Calif. : Naval Postgraduate School, 2007. http://bosun.nps.edu/uhtbin/hyperion-image.exe/07Dec%5FLucrecio.pdf.
Full textThesis Advisor(s): Borden, Brett ; Cristi, Roberto. "December 2007." Description based on title screen as viewed on January 23, 2008 Includes bibliographical references (p. 61-62). Also available in print.
Legaspi, Joey E. "One and two dimensional discrete wavelet transforms." Thesis, Monterey, California. Naval Postgraduate School, 1992. http://hdl.handle.net/10945/23739.
Full textFerreira, Milton dos Santos. "Continuous wavelet transforms on the unit sphere." Doctoral thesis, Universidade de Aveiro, 2008. http://hdl.handle.net/10773/2950.
Full textHahn, Hee Il. "Wavelet transforms for detecting microcalcifications in mammography." Diss., The University of Arizona, 1995. http://hdl.handle.net/10150/187416.
Full textMartell, Leah A. "Data Reduction and Model Selection with Wavelet Transforms." NCSU, 2000. http://www.lib.ncsu.edu/theses/available/etd-20001106-104839.
Full textMartell, Leah. Data Reduction and Model Selection with Wavelet Transforms. (Under the directiion of Dr. J. C. Lu.)With modern technology massive quantities of data are being collectedcontinuously. The purpose of our research has been to develop amethod for data reduction and model selection applicable to large data setsand replicated data. We propose a novel wavelet shrinkage method byintroducing a new model selection criterion. The proposed shrinkage rule hasat least two advantages over the current shrinkage methods. First, it isadaptive to the smoothness of the signal regardless of whether it has a sparsewavelet representation, since we consider both the deterministic and thestochastic cases. The wavelet decomposition not only catches the signalcomponents for a pure signal, but de-noises and extracts these signalcomponents for a signal contaminated by external influences. Second, theproposed method allows for fine ``tuning'' based on the particular data athand. Our simulation studyshows that the methods based on the model selection criterion have better meansquare error (MSE)over the methods currently known. Two aspects make wavelet analysis the analytical tool of choice.First, thelargest in magnitude wavelet coefficients in the discrete wavelet transform (DWT) ofthe data, extract the relevant information, while discarding the resteliminates the noise component. Second, the DWT allows for a fast algorithmcalculation of computational complexity O(n). For the deterministic case we derive a bound on the approximation error of thenonlinear wavelet estimate determined by the largest in magnitude discrete wavelet coefficients. Upper bounds for the approximation error and the rateof increase of the number of wavelet coefficients in the model areobtained for the new wavelet shrinkage estimate. When the signal comes from astochastic process,a bound for the MSE is found, and for the bias of its estimate. A corrected version of the model selection criterion is introduced and some of its properties are studied. The new wavelet shrinkage is employed in the case of replicated data. An algorithm for model selection is proposed,based on which a manufacturing process can be automatically supervised for quality and efficiency. Weapply it to two real life examples.
Macey, Katherine Elizabeth. "Applications of wavelet transforms to analysing medical signals." Thesis, University of Canterbury. Electrical and Electronic Engineering, 2000. http://hdl.handle.net/10092/6762.
Full textNiBouch, M. "Design and FPGA implementations for discrete wavelet transforms." Thesis, Queen's University Belfast, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.268365.
Full textErdemir, Alper. "Data compression by using wavelet transforms and vector quantization." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 1993. http://handle.dtic.mil/100.2/ADA272763.
Full textZhang, Yuanhua. "Wavelet transforms, neural networks and migration applied to magnetotellurics." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp04/nq23897.pdf.
Full textSingh, 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.
Full textTourshan, Khaled. "Parameterization of slant and slantlet/wavelet transforms with applications /." Thesis, Connect to Dissertations & Theses @ Tufts University, 2003.
Find full textAdviser: Joseph P. Noonan. Submitted to the Dept. of Electrical Engineering. Includes bibliographical references (leaves 149-149). Access restricted to members of the Tufts University community. Also available via the World Wide Web;
Pashine, Rajat. "Signal analysis for multiple target materials through wavelet transforms." Diss., Rolla, Mo. : Missouri University of Science and Technology, 2010. http://scholarsmine.mst.edu/thesis/pdf/Pashine_09007dcc8074b5e0.pdf.
Full textVita. The entire thesis text is included in file. Title from title screen of thesis/dissertation PDF file (viewed April 8, 2010) Includes bibliographical references (p. 46-47).
Overdyk, Howard F. "Detection and estimation of frequency hopping signals using wavelet transforms." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 1997. http://handle.dtic.mil/100.2/ADA339336.
Full text"September 1997." Thesis advisor(s): Monique P. Fargues, Ralph Hippenstiel. Includes bibliographical references (p. 99-100). Also Available online.
Alarcon, Aquino Vicente. "Anomaly detection and prediction in communication networks using wavelet transforms." Thesis, Imperial College London, 2003. http://hdl.handle.net/10044/1/11475.
Full textMeejun, Naowarut. "The application of wavelet transforms to many-body particle interactions." Thesis, University of Surrey, 2008. http://epubs.surrey.ac.uk/843558/.
Full textLi, Xin-Gong. "Application of wavelet transforms to seismic data processing and inversion." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp04/nq25094.pdf.
Full textAdams, Michael David. "Reversible wavelet transforms and their application to embedded image compression." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1998. http://www.collectionscanada.ca/obj/s4/f2/dsk2/tape17/PQDD_0007/MQ34478.pdf.
Full textChen, Guangyi. "Applications of wavelet transforms in pattern recognition and de-noising." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1999. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape7/PQDD_0006/MQ43552.pdf.
Full textSullivan, Terry J. "Application of wavelet transforms to sonar signal detection and estimation." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1999. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape8/PQDD_0001/MQ44860.pdf.
Full textNayan, Mohd Yunus. "A family of stereoscopic image compression algorithms using wavelet transforms." Thesis, Loughborough University, 2004. https://dspace.lboro.ac.uk/2134/36113.
Full textPaya, Basir Abdul. "Vibration condition monitoring and fault diagnostics of rotating machinery using artificial neural networks." Thesis, Brunel University, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.390220.
Full textProsser, Robert. "Numerical methods for the computation of combustion." Thesis, University of Cambridge, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.340975.
Full textLutz, Steven S. "Hokua – A Wavelet Method for Audio Fingerprinting." Diss., CLICK HERE for online access, 2009. http://contentdm.lib.byu.edu/ETD/image/etd3247.pdf.
Full textFekri, Faramarz. "Finite-field wavelet transforms and their application to error-control coding." Diss., Georgia Institute of Technology, 2000. http://hdl.handle.net/1853/15799.
Full textGame, Adrian Colin. "Design and real-time hardware implementation of binary integer wavelet transforms." Thesis, University of Warwick, 2008. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.487814.
Full textStromme, Oyvind. "On the applicability of wavelet transforms to image and video compression." Thesis, University of Strathclyde, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.366529.
Full textLuo, Gaoyong. "Application of wavelet transforms to vibration analysis for wood machining processes." Thesis, Bucks New University, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.390816.
Full textBleiler, Sarah K. "Orthogonal filters and the implications of wrapping on discrete wavelet transforms." [Tampa, Fla] : University of South Florida, 2008. http://purl.fcla.edu/usf/dc/et/SFE0002676.
Full textHe, Chao. "Advanced wavelet application for video compression and video object tracking." Connect to resource, 2005. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1125659908.
Full textTitle from first page of PDF file. Document formatted into pages; contains xvii, 158 p.; also includes graphics (some col.). Includes bibliographical references (p. 150-158). Available online via OhioLINK's ETD Center
Brooks, William Allen. "Ultra-wideband radar transient signal detection using time-frequency and wavelet transforms." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School; Available from the National Technical Information Service, 1992. http://edocs.nps.edu/npspubs/scholarly/theses/1992/Dec/92Dec_Brooks.pdf.
Full textKudumakis, Panos E. "Synthesis and coding of audio signals using wavelet transforms for multimedia applications." Thesis, King's College London (University of London), 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.343479.
Full textHennenfent, Gilles, and Felix J. Herrmann. "Three-term amplitude-versus-offset (avo) inversion revisited by curvelet and wavelet transforms." Society of Exploration Geophysicists, 2004. http://hdl.handle.net/2429/615.
Full textAmghar, Mohamed. "Multiscale local polynomial transforms in smoothing and density estimation." Doctoral thesis, Universite Libre de Bruxelles, 2017. http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/262040.
Full textDoctorat en Sciences
info:eu-repo/semantics/nonPublished
MALEGORI, GIOVANNA. "Wavelet transform analysis in thermally excited dinamic force spectroscopy." Doctoral thesis, Università degli Studi di Milano, 2010. http://hdl.handle.net/2434/150135.
Full textOrme, Wesley John. "Cross sections used to elucidate differences in wavelet transforms of ground force reactions." [Boise, Idaho] : Boise State University, 2009. http://scholarworks.boisestate.edu/td/70/.
Full textCho, Dongwook. "Image denoising using wavelet transforms." Thesis, 2004. http://spectrum.library.concordia.ca/8141/1/MQ94737.pdf.
Full textClaypoole, Roger L. Jr. "Adaptive wavelet transforms via lifting." Thesis, 2000. http://hdl.handle.net/1911/19482.
Full textPeng, Chi-Hsiang, and 彭啟翔. "Digital Watermarking Using Wavelet Transforms." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/96403732515940947467.
Full text國立清華大學
資訊工程學系
98
The problem of copyright protection and ownership identification is attention-getting because the Internet applications and consumer electronics products have been rapidly developed. The watermarking system can partially solve this problem. In this thesis, experiments of a watermarking system using 4 different discrete wavelet transforms were implemented. An authorized watermark, sampled from a standard normal distribution, is embedded into the wavelet coefficients of high-low and low-high subbands at level 3 of a 3-scale discrete wavelet transform. Four popular wavelet bases including Haar, Daubechies’ four, 5/3 and 9/7 are chosen for experiments. Our experiments, including scaling, median filtering, cropping, smoothing, noise adding, JPEG compression and multiple watermarks, demonstrate that our watermarking scheme satisfies fidelity, robustness, and security at a certain level.
Sahambi, Jyotindra Singh. "Wavelet transforms for ECG characterization." Thesis, 1998. http://localhost:8080/xmlui/handle/12345678/2811.
Full textHsiao, Bo, and 蕭金本. "Automatic surface inspection using wavelet transforms." Thesis, 1999. http://ndltd.ncl.edu.tw/handle/93586104998706332680.
Full text元智大學
工業工程研究所
87
In this research we aim at automatic surface inspection using wavelet transforms for both structural and statistical textures. Small surface defects generally appear as local anomalies embedded in a homogeneous texture. The nature of the defects leads us toward the multi-scale and multi-resolution analysis method of wavelet transforms, which permits an efficient local spectral analysis. Wavelet transforms have been traditionally implemented for texture analysis and defect detection by selecting proper textural features in wavelet coefficient matrix. The proposed method does not reply on local texture features. It is based on an image restoration scheme using the wavelet transform. For each wavelet-transformed image, we obtain one smoothed residual sub-image and three detail sub-images, which contain fine structures with horizontal, vertical and diagonal orientation. By properly selecting the smoothed sub-image or detail images for backward wavelet transform, the restored image will remove homogeneous, periodic textures and signify only local anomalies. Experiment on structural textures such as machined surface and textile fabrics, and statistical textures such as sandpaper and leather have shown promising results using the proposed method.
Sharma, Shubham. "Classification of Faults in Power Transformer using Fuzzy Logic and Wavelet Transforms." Thesis, 2014. http://ethesis.nitrkl.ac.in/5733/1/212EE5267-4.pdf.
Full text"DESIGN AND IMPLEMENTATION OF LIFTING BASED DAUBECHIES WAVELET TRANSFORMS USING ALGEBRAIC INTEGERS." Thesis, 2013. http://hdl.handle.net/10388/ETD-2013-04-1011.
Full textSripathi, Deepika Foo Simon Y. "Efficient implementations of discrete wavelet transforms using FPGAs." Diss., 2003. http://etd.lib.fsu.edu/theses//available/etd-11242003-185039.
Full textAdvisor: Dr. Simon Y. Foo, Florida State University, College of Engineering, Dept. of Electrical and Computer Engineering. Title and description from dissertation home page (viewed Mar. 3, 2004). Includes bibliographical references.