Дисертації з теми "WAVELETE DOMAIN"
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Souare, Moussa. "Sar Image Analysis In Wavelets Domain." Case Western Reserve University School of Graduate Studies / OhioLINK, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=case1405014006.
Повний текст джерелаAzimifar, Seyedeh-Zohreh. "Image Models for Wavelet Domain Statistics." Thesis, University of Waterloo, 2005. http://hdl.handle.net/10012/938.
Повний текст джерелаTemizel, Alptekin. "Wavelet domain image resolution enhancement methods." Thesis, University of Surrey, 2006. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.425928.
Повний текст джерелаZhang, Xudong. "Wavelet-domain hyperspectral soil texture classification." Master's thesis, Mississippi State : Mississippi State University, 2004. http://library.msstate.edu/etd/show.asp?etd=etd-04012004-142420.
Повний текст джерелаChanerley, Andrew A. "Seismic correction in the wavelet domain." Thesis, University of East London, 2014. http://roar.uel.ac.uk/4395/.
Повний текст джерелаLebed, Evgeniy. "Sparse signal recovery in a transform domain." Thesis, University of British Columbia, 2008. http://hdl.handle.net/2429/4171.
Повний текст джерелаLOUREIRO, FELIPE PRADO. "ACOUSTIC MODELING IN THE WAVELET TRANSFORM DOMAIN." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2004. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=4915@1.
Повний текст джерелаO processamento de sinais sísmicos é peça chave na exploração petrolífera. O caminho entre aquisição de dados e interpretação sísmica é composto por uma trilha de processos interdependentes, entre eles os processos de modelagem e migração. A dissertação apresenta a composição de um algoritmo de modelagem acústica 2D no domínio da transformada wavelet a partir de ferramentas próprias e outras já existentes na literatura. São estabelecidas as aproximações necessárias à solução em meios heterogêneos e à independência entre os subdomínios de processamento. Esta independência possibilita a exploração de técnicas de processamento paralelo. Através de exemplos, seu desempenho é avaliado com comparações à solução via diferenças finitas. Estas soluções são ainda submetidas ao mesmo processo de migração baseado em um terceiro modo de solução.
Seismic signal processing is a key step to oil exploration. The path between data acquisition and seismic interpretation is composed by a sequence of interdependent processes, among which are modeling and migration processes. A 2D acoustic modeling algorithm in wavelet Transform domain, based on custom tools and tools already made known in literature is presented. Approximations necessary for the solution in inhomogeneous media and for complete independence between processing subspaces are established. Such independence allows exploration of parallel processing techniques. Throughout examples, performance is evaluated in comparison to finite-difference solution. These solutions are further processed by a migration technique based in yet another solution method.
Goda, Matthew. "Wavelet domain image restoration and super-resolution." Diss., The University of Arizona, 2002. http://hdl.handle.net/10150/289808.
Повний текст джерелаNgadiran, Ruzelita. "Rate scalable image compression in the wavelet domain." Thesis, University of Newcastle Upon Tyne, 2012. http://hdl.handle.net/10443/1437.
Повний текст джерелаAvaritsioti, Eleni. "Financial time series prediction in the wavelet domain." Thesis, Imperial College London, 2008. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.502386.
Повний текст джерелаDietze, Martin. "Second generation image watermarking in the wavelet domain." Thesis, University of Buckingham, 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.418639.
Повний текст джерелаKandadai, Srivatsan. "OBJECT DETECTION AND LOCALIZATION IN THE WAVELET DOMAIN." International Foundation for Telemetering, 2002. http://hdl.handle.net/10150/605573.
Повний текст джерелаWe are interested in the problem of detecting and localizing objects in the compressed domain. The practical uses of this research are video surveillance, queries over digital library archives and teleconferencing. Most image operations, such as object recognition, are formulated as sequences of operations in the image domain. Such methods need direct access to pixel information as a starting point, but pixel information is not directly available in a compressed image stream. The standards that have emerged for still-image and video compression each contain steps that are commonly found in compression algorithms, like linear transformations, coefficient quantization, run-length coding and entropy coding. Coders like JPEG 2000 and SPHIT are built around the wavelet transform. Thus as a step toward detection and localization of objects embedded in the compressed bit stream we consider here the problem of localizing and detection in the wavelet domain.
Liao, Zhiwu. "Image denoising using wavelet domain hidden Markov models." HKBU Institutional Repository, 2005. http://repository.hkbu.edu.hk/etd_ra/616.
Повний текст джерелаVoulgaris, Georgios. "Techniques for content-based image characterization in wavelets domain." Thesis, University of South Wales, 2008. https://pure.southwales.ac.uk/en/studentthesis/techniques-for-contentbased-image-characterization-in-wavelets-domain(14c72275-a91e-4ba7-ada8-bdaee55de194).html.
Повний текст джерелаKhelifi, Fouad. "Image compression and watermarking in the wavelet transform domain." Thesis, Queen's University Belfast, 2007. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.486229.
Повний текст джерелаCui, Suxia. "Motion estimation and compensation in the redundant wavelet domain." Diss., Mississippi State : Mississippi State University, 2003. http://library.msstate.edu/etd/show.asp?etd=etd-07242003-170057.
Повний текст джерелаMorand, Claire. "Segmentation spatio-temporelle et indexation vidéo dans le domaine des représentations hiérarchiques." Thesis, Bordeaux 1, 2009. http://www.theses.fr/2009BOR13888/document.
Повний текст джерелаThis thesis aims at proposing a solution of scalable object-based indexing of HD video flow compressed by MJPEG2000. In this context, on the one hand, we work in the hierarchical transform domain of the 9/7 Daubechies' wavelets and, on the other hand, the scalable representation implies to search for multiscale methods, from low to high resolution. The first part of this manuscript is dedicated to the definition of a method for automatic extraction of objects having their own motion. It is based on a combination of a robust global motion estimation with a morphological color segmentation at low resolution. The obtained result is then refined following the data order of the scalable flow. The second part is the definition of an object descriptor which is based on the multiscale histograms of the wavelet coefficients. Finally, the performances of the proposed method are evaluated in the context of scalable content-based queries
Fujii, Masafumi. "A time-domain Haar-wavelet-based multiresolution technique for electromagnetic field analysis." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1999. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape8/PQDD_0006/NQ40454.pdf.
Повний текст джерелаKane, Jonathan A. (Jonathan Andrew) 1973. "wavelet domain inversion and joint deconvolution/interpolation of geophysical data." Thesis, Massachusetts Institute of Technology, 2003. http://hdl.handle.net/1721.1/59651.
Повний текст джерелаIncludes bibliographical references (leaves 168-174).
This thesis presents two innovations to geophysical inversion. The first provides a framework and an algorithm for combining linear deconvolution methods with geostatistical interpolation techniques. This allows for sparsely sampled data to aid in image deblurring problems, or, conversely, noisy and blurred data to aid in sample interpolation. In order to overcome difficulties arising from high dimensionality, the solution must be derived in the correct framework and the structure of the problem must be exploited by an iterative solution algorithm. The effectiveness of the method is demonstrated first on a synthetic problem involving satellite remotely sensed data, and then on a real 3-D seismic data set combined with well logs. The second innovation addresses how to use wavelets in a linear geophysical inverse problem. Wavelets have lead to great successes in image compression and denoising, so it is interesting to see what, if anything, they can do for a general linear inverse problem. It is shown that a simple nonlinear operation of weighting and thresholding wavelet coefficients can consistently outperform classical linear inverse methods in terms of mean-square error across a broad range of noise magnitude in the data. Wavelets allow for an adaptively smoothed solution: smoothed more in uninteresting regions, less at geologically important transitions.
(cont.) A third issue is also addressed, somewhat separate from the first two: the correct manipulation of discrete geophysical data. The theory of fractional splines is introduced, which allows for optimal approximation of real signals on a digital computer. Using splines, it can be shown that a linear operation on the spline can be equivalently represented by a matrix operating on the coefficients of a certain spline basis function. The form of the matrix, however, depends completely on the spline basis, and incorrect discretization of the operator into a matrix can lead to large errors in the resulting matrix/vector product.
by Jonathan A. Kane.
Ph.D.
Werner, Manuel. "Adaptive wavelet frame domain decomposition methods for elliptic operator equations /." Berlin : Logos-Verl, 2009. http://d-nb.info/99721984X/04.
Повний текст джерелаAngelillo, Andrea <1983>. "Three-Component Seismic Array Analysis in the Discrete Wavelet Domain." Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2017. http://amsdottorato.unibo.it/8053/1/Angelillo_Andrea_tesi.pdf.
Повний текст джерелаNoutsos, Apostolos. "Long memory in volatility, modelling and forecasting in the wavelet domain." Thesis, Imperial College London, 2009. http://hdl.handle.net/10044/1/8800.
Повний текст джерелаGale, Timothy Edward. "Improved detection and quantisation of keypoints in the complex wavelet domain." Thesis, University of Cambridge, 2018. https://www.repository.cam.ac.uk/handle/1810/277713.
Повний текст джерелаBajic, Vladan. "DESIGN AND IMPLEMENTATION OF AN ADAPTIVE NOISE CANCELING SYSTEM IN WAVELET TRANSFORM DOMAIN." University of Akron / OhioLINK, 2005. http://rave.ohiolink.edu/etdc/view?acc_num=akron1132784671.
Повний текст джерелаAnantharaman, B. "Compressed Domain Processing of MPEG Audio." Thesis, Indian Institute of Science, 2001. https://etd.iisc.ac.in/handle/2005/3914.
Повний текст джерелаAnantharaman, B. "Compressed Domain Processing of MPEG Audio." Thesis, Indian Institute of Science, 2001. http://hdl.handle.net/2005/68.
Повний текст джерелаHammarqvist, Ulf. "Audio editing in the time-frequency domain using the Gabor Wavelet Transform." Thesis, Uppsala universitet, Centrum för bildanalys, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-153634.
Повний текст джерелаBenhmad, François. "La WVaR (Wavelet Value at Risk) : une analyse temps-fréquence de la VaR du CAC40." Thesis, Montpellier 1, 2010. http://www.theses.fr/2010MON10024.
Повний текст джерелаAlthough multiplicity of VaR estimate approaches,they suffer from a fundamental weakness.They don't make any distiction between informations captured in a high frequency and in a low frequency manner.It is an implicit assumption of homogeneity of fiancial markets in contrast to empirical facts. In our thesis, we try to construct a VaR model based on volatility decomposition in the frequency domain.It enables us to show how the time horizons heterogeneity of financial markets participants could influence value at risk estimates.We use a statistical tool able to give us temporal information about volatility and frequencial information about trading frequencies of market participants:the time frequency approach of wavelet transform
Kim, Il-Ryeol. "Wavelet domain partition-based signal processing with applications to image denoising and compression." Access to citation, abstract and download form provided by ProQuest Information and Learning Company; downloadable PDF file 2.98 Mb., 119 p, 2006. http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&res_dat=xri:pqdiss&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&rft_dat=xri:pqdiss:3221054.
Повний текст джерелаNg, Edmund. "Speckle Noise Reduction via Homomorphic Elliptical Threshold Rotations in the Complex Wavelet Domain." Thesis, University of Waterloo, 2005. http://hdl.handle.net/10012/812.
Повний текст джерелаSpeckle filtering of medical ultrasound images represents a critical pre-processing step, providing clinicians with enhanced diagnostic ability. Efficient speckle noise removal algorithms may also find applications in real time surgical guidance assemblies. However, it is vital that regions of interests are not compromised during speckle removal. This research pertains to the reduction of speckle noise in ultrasound images while attempting to retain clinical regions of interest.
Recently, the advance of wavelet theory has lead to many applications in noise reduction and compression. Upon investigation of these two divergent fields, it was found that the speckle noise tends to rotate an image's homomorphic complex-wavelet coefficients. This work proposes a new speckle reduction filter involving a counter-rotation of these complex-wavelet coefficients to mitigate the presence of speckle noise. Simulations suggest the proposed denoising technique offers superior visual quality, though its signal-to-mean-square-error ratio (S/MSE) is numerically comparable to adaptive frost and kuan filtering.
This research improves the quality of ultrasound medical images, leading to improved diagnosis for one of the most popular and cost effective imaging modalities used in clinical medicine.
Cai, Weiting. "High performance shift invariant motion estimation and compensation in wavelet domain video compression." FIU Digital Commons, 2003. http://digitalcommons.fiu.edu/etd/1965.
Повний текст джерелаBushyager, Nathan Adam. "Novel adaptive time-domain techniques for the modeling and design of complex RF and wireless structures." Diss., Available online, Georgia Institute of Technology, 2005, 2004. http://etd.gatech.edu/theses/available/etd-11182004-145238/.
Повний текст джерелаTentzeris, Manos, Committee Chair ; Laskar, Joy, Committee Member ; Peterson, Andrew, Committee Member ; Papapolymerou, Ioannis, Committee Member ; Sotiropoulos, Fotis, Committee Member. Vita. Includes bibliographical references.
Long, Zhiling. "Statistical image modeling in the contourlet domain with application to texture segmentation." Diss., Mississippi State : Mississippi State University, 2007. http://library.msstate.edu/etd/show.asp?etd=etd-11082007-161335.
Повний текст джерелаBoileau, Luc Carleton University Dissertation Engineering Systems and Computer. "Image compression using multilevel block truncation coding and pattern matching in the wavelet domain." Ottawa, 1995.
Знайти повний текст джерелаFu, Ming Fai. "Motion estimation and compensation in wavelet domain and fast global motion estimation for video coding /." View Abstract or Full-Text, 2002. http://library.ust.hk/cgi/db/thesis.pl?ELEC%202002%20FU.
Повний текст джерелаIncludes bibliographical references (leaves 98-102). Also available in electronic version. Access restricted to campus users.
Liu, Xiuyun. "Optimization of the assessment of cerebral autoregulation in neurocritical care unit." Thesis, University of Cambridge, 2017. https://www.repository.cam.ac.uk/handle/1810/265164.
Повний текст джерелаLi, Jing. "Digital Signal Characterization for Seizure Detection Using Frequency Domain Analysis." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-296861.
Повний текст джерелаEn signifikant del av population påverkas idag av neurala sjukdomar som epilepsi. I denna studie studerades och analyserades egenskaper inom frekvensdomänen av elektroencefalografi (EEG), med sikte på att lättare kunna upptäcka epileptiska anfall. Effektspektrumet och spektrogramet bestämdes med hjälp av en snabb fouriertransform och skalogrammet hittades genom att genomföra en kontinuerlig wavelet transform (CWT) på testsignalen från EEGsignalen. I addition till detta skapades två system, metod 1 och metod 2, som implementerades för att upptäcka epileptiska anfall. Användbarheten av dessa två metoder inom elektrokardiogramsignaler (ECG) testades. En tredje metod för anomalidetektering i ECGsignaler testades.
Van, Huyssteen Rudolph Hendrik. "Comparative evaluation of video watermarking techniques in the uncompressed domain." Thesis, Stellenbosch : Stellenbosch University, 2012. http://hdl.handle.net/10019.1/71842.
Повний текст джерелаENGLISH ABSTRACT: Electronic watermarking is a method whereby information can be imperceptibly embedded into electronic media, while ideally being robust against common signal manipulations and intentional attacks to remove the embedded watermark. This study evaluates the characteristics of uncompressed video watermarking techniques in terms of visual characteristics, computational complexity and robustness against attacks and signal manipulations. The foundations of video watermarking are reviewed, followed by a survey of existing video watermarking techniques. Representative techniques from different watermarking categories are identified, implemented and evaluated. Existing image quality metrics are reviewed and extended to improve their performance when comparing these video watermarking techniques. A new metric for the evaluation of inter frame flicker in video sequences is then developed. A technique for possibly improving the robustness of the implemented discrete Fourier transform technique against rotation is then proposed. It is also shown that it is possible to reduce the computational complexity of watermarking techniques without affecting the quality of the original content, through a modified watermark embedding method. Possible future studies are then recommended with regards to further improving watermarking techniques against rotation.
AFRIKAANSE OPSOMMING: ’n Elektroniese watermerk is ’n metode waardeur inligting onmerkbaar in elektroniese media vasgelê kan word, met die doel dat dit bestand is teen algemene manipulasies en doelbewuste pogings om die watermerk te verwyder. In hierdie navorsing word die eienskappe van onsaamgeperste video watermerktegnieke ondersoek in terme van visuele eienskappe, berekeningskompleksiteit en weerstandigheid teen aanslae en seinmanipulasies. Die onderbou van video watermerktegnieke word bestudeer, gevolg deur ’n oorsig van reedsbestaande watermerktegnieke. Verteenwoordigende tegnieke vanuit verskillende watermerkkategorieë word geïdentifiseer, geïmplementeer en geëvalueer. Bestaande metodes vir die evaluering van beeldkwaliteite word bestudeer en uitgebrei om die werkverrigting van die tegnieke te verbeter, spesifiek vir die vergelyking van watermerktegnieke. ’n Nuwe stelsel vir die evaluering van tussenraampie flikkering in video’s word ook ontwikkel. ’n Tegniek vir die moontlike verbetering van die geïmplementeerde diskrete Fourier transform tegniek word voorgestel om die tegniek se bestandheid teen rotasie te verbeter. Daar word ook aangetoon dat dit moontlik is om die berekeningskompleksiteit van watermerktegnieke te verminder, sonder om die kwaliteit van die oorspronklike inhoud te beïnvloed, deur die gebruik van ’n verbeterde watermerkvasleggingsmetode. Laastens word aanbevelings vir verdere navorsing aangaande die verbetering van watermerktegnieke teen rotasie gemaak.
Deighan, Andrew J. "Applications of wavelet transforms to the suppression of coherent noise from seismic data in the pre-stack domain." Thesis, University of Glasgow, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.341749.
Повний текст джерелаRahmani, Maryam. "On the calculation of time-domain impulse-response of systems from band-limited scattering-parameters using wavelet transform." Thesis, Mississippi State University, 2017. http://pqdtopen.proquest.com/#viewpdf?dispub=10270053.
Повний текст джерелаIn the aspect of electric-ship grounding, the time-domain behavior of the ship hull is needed. The grounding scheme impacts the nature of voltage transients during switching events and faults, identifiability and locatability of ground faults, fault current levels, and power quality. Due to the large size of ships compared with the wavelengths of the desired signals, time-domain measurement or simulation is a time-consuming process. Therefore, it is preferred that the behavior be studied in the frequency-domain. In the frequency-domain one can break down the whole ship hull into small blocks and find the frequency behavior of each block (scattering parameters) in a short time and then con- nect these blocks and find the whole ship hull scattering parameters. Then these scattering parameters should be transferred to the time-domain. The problem with this process is that the measured frequency-domain data (or the simulated data) is band-limited so, while calculating time-domain solutions, due to missing DC and low frequency content the time-domain response encounters causality, passivity and time-delay problems. Despite availability of several software and simulation packets that convert frequency-domain information to time-domain, all are known to suffer from the above mentioned problems. This dissertation provides a solution for computing the Time-Domain Impulse-Response for a system by using its measured or simulated scattering parameters. In this regard, a novel wavelet computational approach is introduced.
Žitkevičius, Evaras. "Analysis of medical images in frequency and space-frequency domains." Doctoral thesis, Lithuanian Academic Libraries Network (LABT), 2007. http://vddb.library.lt/obj/LT-eLABa-0001:E.02~2007~D_20071204_102356-91944.
Повний текст джерелаŽmogaus galvos KT bei MR vaizdus analizuoja apmokyti diagnostikos specialistai – radiologai. Vaizdai, kuriuos turi analizuoti radiologas, yra pilkieji vaizdai, pateikiami monitoriuje arba skaidrėse. Juose tiriami objektai yra atpažįstami pagal tam tikrų vaizdo sričių pilkumo lygį, išsidėstymą, formą, dydį ir kitus požymius. Atpažinimo procesui turi įtakos eilė veiksnių, kurių visuma lemia diagnostines neapibrėžtis. Jų sumažinimui bei diagnostikos paspartinimui vis plačiau taikoma pagalbinė kompiuterinė programinė įranga, kuri, be to, suteikia daug papildomų trimačio vizualizavimo ir skaičiavimo galimybių. Šio darbo tikslas yra ištirti medicininių vaizdų analizės ir apdorojimo galimybes, taikant dažninius ir erdvinius dažninius spektrus, bei sudaryti algoritmus, skirtus ligų sričių ar kitų specifinių vaizdo sričių segmentavimui.
Slezák, Pavel. "Filtrace signálů EKG pomocí vlnkové transformace." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2010. http://www.nusl.cz/ntk/nusl-218722.
Повний текст джерелаScharf, Benjamin [Verfasser], Hans-Jürgen [Akademischer Betreuer] Schmeißer, Hans [Akademischer Betreuer] Triebel, and Leszek [Akademischer Betreuer] Skrzypczak. "Wavelets in function spaces on cellular domains / Benjamin Scharf. Gutachter: Hans-Jürgen Schmeißer ; Hans Triebel ; Leszek Skrzypczak." Jena : Thüringer Universitäts- und Landesbibliothek Jena, 2013. http://d-nb.info/1033669970/34.
Повний текст джерелаScharf, Benjamin [Verfasser], Hans-Jürgen Akademischer Betreuer] Schmeißer, Hans [Akademischer Betreuer] [Triebel, and Leszek [Akademischer Betreuer] Skrzypczak. "Wavelets in function spaces on cellular domains / Benjamin Scharf. Gutachter: Hans-Jürgen Schmeißer ; Hans Triebel ; Leszek Skrzypczak." Jena : Thüringer Universitäts- und Landesbibliothek Jena, 2013. http://nbn-resolving.de/urn:nbn:de:gbv:27-20130411-112946-0.
Повний текст джерелаChakravarthy, Chinna Narayana Swamy Thrilok. "Combinational Watermarking for Medical Images." Scholar Commons, 2015. http://scholarcommons.usf.edu/etd/5833.
Повний текст джерелаHu, Zhihong. "Multimodal 3-D segmentation of optic nerve head structures from spectral domain Oct volumes and color fundus photographs." Diss., University of Iowa, 2011. https://ir.uiowa.edu/etd/3470.
Повний текст джерелаPabel, Roland [Verfasser], Angela [Akademischer Betreuer] Kunoth, Gregor [Akademischer Betreuer] Gassner, and Helmut [Akademischer Betreuer] Harbrecht. "Adaptive Wavelet Methods for Variational Formulations of Nonlinear Elliptic PDES on Tensor-Product Domains / Roland Pabel. Gutachter: Angela Kunoth ; Gregor Gassner ; Helmut Harbrecht." Köln : Universitäts- und Stadtbibliothek Köln, 2015. http://d-nb.info/1072500485/34.
Повний текст джерелаTikkanen, P. (Pauli). "Characterization and application of analysis methods for ECG and time interval variability data." Doctoral thesis, University of Oulu, 1999. http://urn.fi/urn:isbn:9514252144.
Повний текст джерелаSettipalli, Praveen. "AUTOMATED CLASSIFICATION OF POWER QUALITY DISTURBANCES USING SIGNAL PROCESSING TECHNIQUES AND NEURAL NETWORKS." UKnowledge, 2007. http://uknowledge.uky.edu/gradschool_theses/430.
Повний текст джерелаTolosa, Thiago Antonio Grandi de. "Uma proposta para análise otimizada de correntes transitórias em materiais condutores." Universidade de São Paulo, 2010. http://www.teses.usp.br/teses/disponiveis/3/3142/tde-16082010-143424/.
Повний текст джерелаIn this work, a methodology is developed, based on the application of the moment method associated to a finite difference approximation, for time domain analysis of transient current distribution in conducting media. The computational procedure allows that long conductors with any cross section can be considered, approximated by filamentary elements. Thus, the integral equation that describes the problem is substituted by a matrix representation. In the case of non homogeneous regions, the finite element method is used to obtain the matrix that allows the solution of the problem. As the proposed method works in a time step by step scheme, it is interesting, for increased computational efficiency, to reduce the size of the involved matrices. This can be done by application of the Discrete Wavelet Transform, as investigated in this work. An analysis of the numerical stability of the computational procedure is also done, aiming to establish its applicability conditions. Validation of the numerical procedure developed is done by comparing the results obtained for problems whose solution is known by measurement or by another method. Some problems of practical interest in Electromagnetic Compatibility were solved and the results are presented, concerning particularly shielding effects and multi conductor crosstalk. The developed procedure can be improved employing elements with more general shapes, besides the filamentary ones, allowing the consideration of three dimensional systems. Also, pre conditioning of the matrices before application of the Wavelet Transform can be studied, for a better performance of the method.