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Dissertations / Theses on the topic 'Wavelet technique'

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1

Alwan, Abdulrahman. "Implementation of Wavelet-Kalman Filtering Technique for Auditory Brainstem Response." Thesis, Linköpings universitet, Informationskodning, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-85116.

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Auditory brainstem response (ABR) evaluation has been one of the most reliable methods for evaluating hearing loss. Clinically available methods for ABR tests require averaging for a large number of sweeps (~1000-2000) in order to obtain a meaningful ABR signal, which is time consuming.  This study proposes a faster new method for ABR filtering based on wavelet-Kalman filter that is able to produce a meaningful ABR signal with less than 500 sweeps. The method is validated against ABR data acquired from 7 normal hearing subjects with different stimulus intensity levels, the lowest being 30 dB N
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Comer, K. Allen. "A wavelet-based technique for reducing noise in audio signals." Thesis, This resource online, 1996. http://scholar.lib.vt.edu/theses/available/etd-06082009-170933/.

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Wang, Donglian. "A Wavelet Galerkin solution technique for the phase field model of microstructural evolution." Thesis, University of Surrey, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.250908.

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Ahmad, Rais. "Guided Wave Technique to Detect Defects in Pipes Using Wavelet Analysis." Diss., Tucson, Arizona : University of Arizona, 2005. http://etd.library.arizona.edu/etd/GetFileServlet?file=file:///data1/pdf/etd/azu%5Fetd%5F1114%5F1%5Fm.pdf&type=application/pdf.

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5

Cheng, Sheng. "Novel implementation technique for a wavelet-based broadband signal detection system." Thesis, University of Warwick, 2010. http://wrap.warwick.ac.uk/4515/.

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This thesis reports on the design, simulation and implementation of a novel Implementation for a Wavelet-based Broadband Signal Detection System. There is a strong interest in methods of increasing the resolution of sonar systems for the detection of targets at sea. A novel implementation of a wideband active sonar signal detection system is proposed in this project. In the system the Continuous Wavelet Transform is used for target motion estimation and an Adaptive-Network-based Fuzzy inference System (ANFIS) is adopted to minimize the noise effect on target detection. A local optimum search a
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Gupta, P., and V. B. Gadicha. "Enhancement of low quality degraded video using haar wavelet decomposition technique." Thesis, Sumy State University, 2017. http://essuir.sumdu.edu.ua/handle/123456789/55756.

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The point recommends the general system for video improvement, object location and following continue at the same time in an aggressive and helpful way .Video is a gathering of successive pictures with a consistent time interim. So video can give more data about the article when situations are changing regarding time. Thusly, physically taking care of recordings are entirely unimaginable. So there is need of a computerized gadget to handle these recordings. Numerous calculations and innovation have been created to robotize video improvement and checking the article in a video documen
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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.

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Rutledge, Glen A. "Dictionary projection pursuit, a wavelet packet technique for acoustic spectral feature extraction." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2000. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape4/PQDD_0008/NQ52770.pdf.

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Garantziotis, Anastasios. "A wavelet-based prediction technique for concealment of loss-packet effects in wireless channels." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2002. http://library.nps.navy.mil/uhtbin/hyperion-image/02Jun%5FGarantziotis.pdf.

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Thesis (M.S. in Electrical Engineering)--Naval Postgraduate School, June 2002.<br>Thesis advisor(s): Murali Tummala, Robert Ives. Includes bibliographical references (p. 89-90). Also available online.
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Sabesan, Vaidhyanathan. "Detection and Frequency Estimation of Nonlinear Systems using Step Relaxation Technique." University of Cincinnati / OhioLINK, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1505203318448279.

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Baltazar-Lopez, Martin Eduardo. "Applications of TAP-NDE technique to non-contact ultrasonic inspection in tubulars." Diss., Texas A&M University, 2003. http://hdl.handle.net/1969.1/1614.

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The possibility and feasibility of experimental detection of localized defects in tubes using laser-induced ultrasonic wave approach through Thermo Acousto Photonic Non Destructive Evaluation (TAP-NDE) and Signal processing through wavelet transform is examined in this research. Guided waves in cylindrical surfaces provide solutions for detection of different defects in the material. Several experiments were conducted to this respect. Wave propagation in both axial and circumferential directions was studied. The dispersive wave propagation of ultrasonic waves in hollow cylinders has been inves
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Zhu, Xiangdong. "Development and Applications of Analytic Wavelet Transform Technique with Special Attention to Noise Risk Assessment of Impulsive Noises." University of Cincinnati / OhioLINK, 2008. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1211381997.

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Moubandjo, Desiree V. "Polynomial containment in refinement spaces and wavelets based on local projection operators." Thesis, Stellenbosch : Stellenbosch University, 2007. http://hdl.handle.net/10019.1/16418.

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14

Krueger, Eddy. "Detecção de fadiga neuromuscular em pessoas com lesão medular completa utilizando transformada wavelet." Universidade Tecnológica Federal do Paraná, 2014. http://repositorio.utfpr.edu.br/jspui/handle/1/961.

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CNPq<br>Introdução: As pessoas com lesão medular (LM) podem ter seus músculos paralisados ativados por meio da estimulação elétrica funcional (FES) sobre vias neurais presentes próximas à pele. Estas estimulações elétricas são importantes para a recuperação do trofismo neuromuscular ou durante o controle de movimento por próteses neurais. No entanto, ao longo da aplicação da FES, a fadiga ocorre, diminuindo a eficiência da contração, principalmente devido à hipotrofia neuromuscular presente nessa população. A aquisição da vibração das fibras musculares como indicador de fadiga é registrada por
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Kam, Shui-Cheong. "Assessing of circuit breaker restrike risks using computer simulation and wavelet analysis." Thesis, Queensland University of Technology, 2012. https://eprints.qut.edu.au/53144/1/Shui-Cheong_Kam_Thesis.pdf.

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A breaker restrike is an abnormal arcing phenomenon, leading to a possible breaker failure. Eventually, this failure leads to interruption of the transmission and distribution of the electricity supply system until the breaker is replaced. Before 2008, there was little evidence in the literature of monitoring techniques based on restrike measurement and interpretation produced during switching of capacitor banks and shunt reactor banks in power systems. In 2008 a non-intrusive radiometric restrike measurement method and a restrike hardware detection algorithm were developed by M.S. Ramli and B
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Akbaryan, Fardin. "Fault diagnosis of dynamic multi-variate chemical processes using pattern recognition, and smooth representation of trends by a wavelet-based technique." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2001. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp04/nq64790.pdf.

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Zhang, Junbo. "EMPIRICAL COMPARISON OF THREE SIGNAL PROCESSING METHODS: ADAPTIVE PERIODOGRAM TECHNIQUE, MORLET WAVELET TRANSFORM, AND ADAPTIVE WINDOWED FOURIER TRANSFORM AND THEIR APPLICATION ON GRAVITY WAVES." Oxford, Ohio : Miami University, 2006. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=miami1145385180.

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Tieng, Quang Minh. "Wavelet transform based techniques for the recognition of objects in images." Thesis, Queensland University of Technology, 1996.

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Despite its short history, the wavelet transform has found application in a remarkable diversity of disciplines: Mathematics, Physics, Numerical Analysis,Signal Processing and others. In this thesis, we explore applications of this transform in image analysis and devise several algorithms for recognising objects in an image of a scene. Five different algorithms, consisting of representations and matching techniques, have been proposed for handling different kinds of objects in different situations.
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Jayaseelan, John. "Estimation of LRD present in H.264 video traces using wavelet analysis and proving the paramount of H.264 using OPF technique in wi-fi environment." Thesis, University of Bradford, 2012. http://hdl.handle.net/10454/5729.

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While there has always been a tremendous demand for streaming video over Wireless networks, the nature of the application still presents some challenging issues. These applications that transmit coded video sequence data over best-effort networks like the Internet, the application must cope with the changing network behaviour; especially, the source encoder rate should be controlled based on feedback from a channel estimator that explores the network intermittently. The arrival of powerful video compression techniques such as H.264, which advance in networking and telecommunications, opened up
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Selim, Hossam. "Hybrid non-destructive technique for volumetric defect analysis and reconstruction by remote laser induced ultrasound." Doctoral thesis, Universitat Politècnica de Catalunya, 2020. http://hdl.handle.net/10803/669481.

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This PhD thesis is devoted to the design, development and implementation of a non-contact hybrid non-destructive testing (NDT) method applied to the analysis of metallic objects that contain embedded defects or fractures. We propose a hybrid opto-acoustic technique that combines laser generated ultrasound as exciter and ultrasound transducers as receivers. This work envisages a detailed study of the detection and one, two or three-dimensional reconstruction of defects, using the proposed hybrid technique and its application as a remotely controlled non-contact NDT. Our device combines several
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Pacola, Edras Reily. "Uso da análise de discriminante linear em conjunto com a transformada wavelet discreta no reconhecimento de espículas." Universidade Tecnológica Federal do Paraná, 2015. http://repositorio.utfpr.edu.br/jspui/handle/1/1828.

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CAPES<br>Pesquisadores têm concentrado esforços, nos últimos 20 anos, aplicando a transformada wavelet no processamento, filtragem, reconhecimento de padrões e na classificação de sinais biomédicos, especificamente em sinais de eletroencefalografia (EEG) contendo eventos característicos da epilepsia, as espículas. Várias famílias de wavelets-mães foram utilizadas, mas sem um consenso sobre qual wavelet-mãe é a mais adequada para essa finalidade. Os sinais utilizados apresentam uma gama muito grande de eventos e não possuem características padronizadas. A literatura relata sinais de EEG amostra
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22

Anantharaman, B. "Compressed Domain Processing of MPEG Audio." Thesis, Indian Institute of Science, 2001. https://etd.iisc.ac.in/handle/2005/3914.

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MPEG audio compression techniques significantly reduces the storage and transmission requirements for high quality digital audio. However, compression complicates the processing of audio in many applications. If a compressed audio signal is to be processed, a direct method would be to decode the compressed signal, process the decoded signal and re-encode it. This is computationally expensive due to the complexity of the MPEG filter bank. This thesis deals with processing of MPEG compressed audio. The main contributions of this thesis are a) Extracting wavelet coefficients in the MPEG compres
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Anantharaman, B. "Compressed Domain Processing of MPEG Audio." Thesis, Indian Institute of Science, 2001. http://hdl.handle.net/2005/68.

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MPEG audio compression techniques significantly reduces the storage and transmission requirements for high quality digital audio. However, compression complicates the processing of audio in many applications. If a compressed audio signal is to be processed, a direct method would be to decode the compressed signal, process the decoded signal and re-encode it. This is computationally expensive due to the complexity of the MPEG filter bank. This thesis deals with processing of MPEG compressed audio. The main contributions of this thesis are a) Extracting wavelet coefficients in the MPEG compress
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Fachrudin, Imam. "Traitement du signal ECG - approche par la transformation en ondelettes." Rouen, 1995. http://www.theses.fr/1995ROUES040.

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Les travaux présentés dans ce mémoire ont pour objectif d'évaluer l'efficacité de la transformation en ondelettes (TO) dans les opérations de traitement du signal ECG : l'analyse, la détection, le filtrage et la compression. L'analyse temps-fréquence par la TO permet de mettre en évidence les structures fréquentielles des composantes ECG : ses ondes, ses bruits et certains événements pathologiques. Les algorithmes de détection de complexes ECG sont élaborés à partir des propriétés du module et de la phase de la transformation. La relation de la TO avec l'analyse multirésolution et la découvert
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Faghih, Farshad. "Adaptive wavelet-based noise filtering techniques." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1999. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp01/MQ38627.pdf.

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26

Kueh, Audrey. "Spherical wavelet techniques in nonparametric statistics." Thesis, University of Cambridge, 2014. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.648593.

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27

Farooq, Omar. "Wavelet-based techniques for speech recognition." Thesis, Loughborough University, 2002. https://dspace.lboro.ac.uk/2134/34229.

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In this thesis, new wavelet-based techniques have been developed for the extraction of features from speech signals for the purpose of automatic speech recognition (ASR). One of the advantages of the wavelet transform over the short time Fourier transform (STFT) is its capability to process non-stationary signals. Since speech signals are not strictly stationary the wavelet transform is a better choice for time-frequency transformation of these signals. In addition it has compactly supported basis functions, thereby reducing the amount of computation as opposed to STFT where an overlapping win
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Yin, Xiaowei. "Wavelet techniques for colour document image coding." Thesis, University of Essex, 2007. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.446463.

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Constantine, William L. B. "Wavelet techniques for chaotic and fractal dynamics /." Thesis, Connect to this title online; UW restricted, 1999. http://hdl.handle.net/1773/7124.

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Belsuz, Autran. "Tests de l'efficience faible à partir des ondelettes de Haar." Thesis, La Réunion, 2017. http://www.theses.fr/2017LARE0061/document.

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Cette thèse proposée utilise les ondelettes de Haar à créer de nouveaux indicateurs techniques, d’en évaluer leurs performances afin de tester la validité de l’efficience faible des marchés financiers. L’approche choisie vise à mettre en œuvre les capacités des indicateurs techniques à capter la mémoire longue présente dans les indices boursiers américains et européens à travers l’estimation de la tendance par le processus de lissage. De plus, cette dernière est une composante importante dans les séries économiques et financières. En effet, elle a fait l’objet d’innombrables investigations tan
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Anoh, Kelvin Ogbonnaya Okorie. "Advanced MIMO-OFDM technique for future high speed braodband wireless communications : a study of OFDM design, using wavelet transform, fractional fourier transform, fast fourier transform, doppler effect, space-time coding for multiple input, multiple output wireless communications systems." Thesis, University of Bradford, 2015. http://hdl.handle.net/10454/14400.

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This work concentrates on the application of diversity techniques and space time block coding for future high speed mobile wireless communications on multicarrier systems. At first, alternative multicarrier kernels robust for high speed doubly-selective fading channel are sought. They include the comparisons of discrete Fourier transform (DFT), fractional Fourier transform (FrFT) and wavelet transform (WT) multicarrier kernels. Different wavelet types, including the raised-cosine spectrum wavelets are implemented, evaluated and compared. From different wavelet families, orthogonal wavelets are
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Anoh, Kelvin O. O. "Advanced MIMO-OFDM technique for future high speed braodband wireless communications. A study of OFDM design, using wavelet transform, fractional fourier transform, fast fourier transform, doppler effect, space-time coding for multiple input, multiple output wireless communications systems." Thesis, University of Bradford, 2015. http://hdl.handle.net/10454/14400.

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This work concentrates on the application of diversity techniques and space time block coding for future high speed mobile wireless communications on multicarrier systems. At first, alternative multicarrier kernels robust for high speed doubly-selective fading channel are sought. They include the comparisons of discrete Fourier transform (DFT), fractional Fourier transform (FrFT) and wavelet transform (WT) multicarrier kernels. Different wavelet types, including the raised-cosine spectrum wavelets are implemented, evaluated and compared. From different wavelet families, orthogonal wavele
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Lindsey, Alan R. "Generalized orthogonally multiplexed communication via wavelet packet bases." Ohio : Ohio University, 1995. http://www.ohiolink.edu/etd/view.cgi?ohiou1174608024.

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Fryzlewicz, Piotr Z. "Wavelet techniques for time series and poisson data." Thesis, University of Bristol, 2004. http://hdl.handle.net/1983/9517b2dd-6244-4c30-b9c1-e6356be1dfd4.

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Lin, Shui-Town. "Gear condition monitoring by wavelet transform of vibration signals." Thesis, University of Oxford, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.318680.

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Barsanti, Robert J. "Denoising of ocean acoustic signals using wavelet-based techniques." Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 1996. http://handle.dtic.mil/100.2/ADA329379.

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Thesis (M.S. in Electrical Engineering and M.S. in Engineering Acoustics) Naval Postgraduate School, December 1996.<br>Thesis advisor(s): Monique P. Fargues and Ralph Hippenstiel. "December 1996." Includes bibliographical references (p. 99-101). Also available online.
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Cebeci, Coskun. "Denoising of acoustic signals using wavelet/wiener based techniques." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 1998. http://handle.dtic.mil/100.2/ADA349997.

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Thesis (M.S. in Electrical Engineering) Naval Postgraduate School, June 1998.<br>"June 1998." Thesis advisor(s): Monique P. Fargues, Ralph D. Hippenstiel. Includes bibliographical references (p. 63-64). Also available online.
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Ma, Jinming. "Wavelet based images/video compression techniques for telemedicine application." Thesis, University of Buckingham, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.601355.

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The advent of multimedia computing has lead to an increased demand for digital images and videos (sequence of frames). Telemedicine is a major application of digital image processing and is increasingly deployed over different venues. However, there are still many challenges associated with this technology, especially on high quality real-time video compression. Wavelet transform has been becoming important in image compression applications because of its flexibility and efficiency in representing non-stationary signals. Generally, wavelet based compressions do not result in blocky effects and
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Khan, Ekram. "Efficient and robust wavelet based image/video coding techniques." Thesis, University of Essex, 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.268739.

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Tucker, Dewey S. (Dewey Stanton). "Wavelet denoising techniques with applications to high-resolution radar." Thesis, Massachusetts Institute of Technology, 1997. http://hdl.handle.net/1721.1/10466.

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Edwards, Samuel Zachary. "Forecasting Highly-Aggregate Internet Time Series Using Wavelet Techniques." Thesis, Virginia Tech, 2006. http://hdl.handle.net/10919/33223.

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The U.S. Coast Guard maintains a network structure to connect its nation-wide assets. This paper analyzes and models four highly aggregate traces of the traffic to/from the Coast Guard Data Network ship-shore nodes, so that the models may be used to predict future system demand. These internet traces (polled at 5â 40â intervals) are shown to adhere to a Gaussian distribution upon detrending, which imposes limits to the exponential distribution of higher time-resolution traces. Wavelet estimation of the Hurst-parameter is shown to outperform estimation by another common method (Sample-Var
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Yi, Yudan. "On improving the accuracy and reliability of GPS/INS-based direct sensor georeferencing." Columbus, Ohio : Ohio State University, 2007. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1186671990.

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Liao, Zhiwu. "Image denoising using wavelet domain hidden Markov models." HKBU Institutional Repository, 2005. http://repository.hkbu.edu.hk/etd_ra/616.

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Forney, Fredric D. "Acoustic noise removal by combining wiener and wavelet filtering techniques." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 1998. http://handle.dtic.mil/100.2/ADA350427.

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Thesis (M.S. in Management) Naval Postgraduate School, June 1998.<br>"June 1998." Thesis advisor(s): Monique P. Fargues, Ralph Hippenstiel. Includes bibliographical references (p. 133-135). Also available online.
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Adli, Yilmaz Emine. "Wavelet Based Deconvolution Techniques In Identifying Fmri Based Brain Activation." Master's thesis, METU, 2011. http://etd.lib.metu.edu.tr/upload/12613870/index.pdf.

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Functional Magnetic Resonance Imaging (fMRI) is one of the most popular neuroimaging methods for investigating the activity of the human brain during cognitive tasks. The main objective of the thesis is to identify this underlying brain activation over time, using fMRI signal by detecting active and passive voxels. We performed two sub goals sequentially in order to realize the main objective. First, by using simple, data-driven Fourier Wavelet Regularized Deconvolution (ForWaRD) method, we extracted hemodynamic response function (HRF) which is the information that shows either a voxel is acti
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Jones, Cameron Lawrence, and cajones@swin edu au. "Image analysis of fungal biostructure by fractal and wavelet techniques." Swinburne University of Technology, 1997. http://adt.lib.swin.edu.au./public/adt-VSWT20051107.093036.

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Filamentous fungal colonies show a remarkable diversity of different mycelial branching patterns. To date, the characterization of this biostructural complexity has been based on subjective descriptions. Here, computerized image analysis in conjunction with video microscopy has been used to quantify several aspects of fungal growth and differentiation. This was accomplished by applying the new branch of mathematics called Fractal Geometry to this biological system, to provide an objective description of morphological and biochemical complexity. The fractal dimension is useful for describing ir
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Lui, Tuck Meng 1975. "Wavelet-based multi-resolution techniques for two-dimensional data analysis." Thesis, Massachusetts Institute of Technology, 1999. http://hdl.handle.net/1721.1/80511.

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Amina, Mahdi. "Dynamic non-linear system modelling using wavelet-based soft computing techniques." Thesis, University of Westminster, 2011. https://westminsterresearch.westminster.ac.uk/item/8zwwz/dynamic-non-linear-system-modelling-using-wavelet-based-soft-computing-techniques.

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The enormous number of complex systems results in the necessity of high-level and cost-efficient modelling structures for the operators and system designers. Model-based approaches offer a very challenging way to integrate a priori knowledge into the procedure. Soft computing based models in particular, can successfully be applied in cases of highly nonlinear problems. A further reason for dealing with so called soft computational model based techniques is that in real-world cases, many times only partial, uncertain and/or inaccurate data is available. Wavelet-Based soft computing techniques a
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Quiros, Paula Quintana. "SNR estimation and jamming detection techniques using wavelets." Thesis, California State University, Long Beach, 2014. http://pqdtopen.proquest.com/#viewpdf?dispub=1569590.

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<p> An SNR estimation approach and a jamming detector based on wavelet transform theory are presented. The SNR estimator is an in-service, non-data aided estimator that operates on M-PSK and QAM modulated signals transmitted over baseband CWGN channels. The signal and noise power are separated through a non-linear wavelet technique known as <i>denoising.</i> </p><p> Two wavelet-based estimators are presented. The first method uses hard thresholding which extracts the amplitude trend over one or several symbol periods, depending on whether the modulation is constant or multi-level envelope.
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Bhatia, Mickey. "Wavelet transform-based multi-resolution techniques for tomographic reconstruction and detection." Thesis, Massachusetts Institute of Technology, 1994. http://hdl.handle.net/1721.1/11650.

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