Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 22 for “"Wavelet Transformation"”.
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Statistical shape analysis of neuroanatomical structures based on spherical wavelet transformation
… of brain structures using biorthogonal spherical wavelets. Using this wavelet-based shape representation, we build multi-scale shape models and study the localized cortical folding variations in a normal population using Principal Component Analysis (PCA). We then build a shape-based …
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Statische und kinematische topographische Darstellungen der Aktivität des Musculus masseter durch klassische Analysemethoden und Wavelet-Transformation
… Momente des Skalogramms der kontinuierlichen Wavelet-Transformation (CWT) berechnet. Bei progressiver Kraftsteigerung wechselte des Aktivitätszentrums. Ausdauernde Kontraktionen waren durch rotatorische Variation, Kauen durch zyklische Aktivitätsmaxima über dem unteren Muskeldrittel …
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Aktive Regionen der Sonnenoberfläche und ihre zeitliche Variation in zweidimensionaler Spektro-Polarimetrie
… Ort und Zeit werden mit Hilfe der Fourier- und Wavelet-Transformation weiter analysiert. Als Resultat lässt sich die Existenz eines hochfrequenten Bandes für Geschwindigkeitsoszillationen mit einer zentralen Frequenz von 75 Sekunden (13 mHz) bestätigen. In größeren photosphärischen Höhen von …
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Trend Analysis of Belief-State History with Discrete Wavelet Transform for Improved Intention Discovery
… model and to analyze its trend with discrete wavelet transformation (DWT). Accordingly, a new algorithm is developed to improve the accuracy of intention discovery with trend analysis, and to reduce the dialog length by switching POMDP policies between contextual control modes according to the …
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Detection and Classification of Disturbances in Islanded Micro-grid
… in the time domain. This thesis utilizes wavelet transformation (WT) method to detect and analyse the disturbance signals in the islanded micro-grid. The signals are collected from both simulation and experimental setup. The wavelet-based and time domain based feature extraction algorithms …
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Intelligent Fault Location for Smart Power Grids
… of the grid. The developed methods utilize wavelet transformation to extract the traveling wave information in the very fast voltage and current transients which are initiated immediately after a fault occurs, support vector machines to classify the fault type and identify the faulted …
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Age-Related Changes to the P3a and P3b
… to the P3a and P3b. In chapter 2, we perform a wavelet transformation (WT) analysis of the P3a and P3b in younger and older adults to explore the age-related changes to the underlying neurocognitive processes involved in target and distractor processing. In chapter 3, we use dynamic causal …
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A Dynamic and Thermodynamic Approach to Complexity.
… sequence. The concepts of fractal, multifractal, wavelet transformation and wavelet transform maximum modulus (WTMM) method are introduced. Artificial time sequences are generated by the memory beyond memory model to mimic the heart beating sequence. Using WTMM method, the multifratal singular …
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Die Kapitalstruktur europäischer Emittenten von bedingten Pflichtwandelanleihen im Bankensektor: eine robuste Korrelationsund Portfoliooptimierungsanalyse mit besonderer Berücksichtigung der Wavelet-Analyse und von Bayesschen Netzen
… the correlation of returns and are based on the Wavelet Analysis and on Bayesian Nets. The estimation results will feature rolling and extending sample windows and be implemented in a standard mean-variance optimisation algorithm to construct optimal portfolios. The performance of these optimal …
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PROCESSING AND CLASSIFICATION OF PHYSIOLOGICAL SIGNALS USING WAVELET TRANSFORM AND MACHINE LEARNING ALGORITHMS
… waves i.e. P, QRS, and T, are described. A wavelet-based method is implemented to facilitate and enhance the detection process. The method not only provides high detection accuracy, but also efficient in regards to memory and execution time. In addition, the method is robust against noise …
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Techniques for Content-based Image Characterization in Wavelets Domain
… content-based image retrieval (CBIR) systems in wavelets domain using texture analysis. Attention was drawn on CBIR in transform domain and in particular wavelets because of the excellent characteristics for compression and texture extraction applications and the wide adoption in both the …
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Multiscale modeling and model predictive control of processing systems
… a multiscale (time/scale) domain. Based on the wavelet transformation of time domain models, the multiscale models are defined on dyadic or higher-order trees, whose nodes are used to index the values of any variable, localized in both time and scale (range of frequencies). The objective …
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Multipoint measurements of field aligned current density in the auroral zone
… very complicated in the sense that it requires transformation from a spinning and precessing coordinate system (measurements are in this system) to a non-spinning, non-processing, Earth-magnetic-field aligned B-L system (z axis is along B---the Earth magnetic field, x is in the B-L plane and …
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Multiphotonenmikroskopische Untersuchungen und Kategorisierung von humanem Knorpelgewebe sowie 2-Photonen-Mikroendoskopie
… Merkmalsräumen mittels diskreter Wavelet-Transformation. Die Auswertung dieser Merkmale erfolgte mit selbstorganisierenden Karten. Auf diese Weise konnte eine Klassifizierung in vier Arthrosestadien erzielt werden, die in bisherigen Vergleichen zu makroskopischen Befunden sehr gut …
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Segmentation and Fracture Detection in CT Images for Traumatic Pelvic Injuries
… using a hierarchical algorithm based on wavelet transformation, adaptive windowing, boundary tracing and masking. Also, a quantitative measure of fracture severity based on pelvic CT scans is defined and explored. The results are promising, demonstrating that the proposed method not only …
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Investigation of new feature descriptors for image search and classification
… search and classification. Based on the Gabor wavelet transformation, whose kernels are similar to the 2D receptive field profiles of the mammalian cortical simple cells, a series of new image descriptors is developed. Specifically, first, a new color Gabor-HOG (GHOG) descriptor is introduced …
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New contributions in overcomplete image representations inspired from the functional architecture of the primary visual cortex = Nuevas contribuciones en representaciones sobrecompletas de imágenes inspiradas por la arquitectura funcional de la corteza visual primaria
… proposes first a self-invertible log-Gabor wavelet transformation inspired from the receptive field and multiresolution arrangement of the simple cells in the primary visual cortex (V1). This transform shows promising abilities for noise elimination. Second, interactions observed between V1 …
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Real-time Realistic Rendering And High Dynamic Range Image Display And Compression
… respectively. The other is based on the wavelet transformation. It first transforms the raw image data into the logarithmic domain, then quantizes the logarithmic data into the integer domain, and finally applies the wavelet based JPEG2000 encoder for entropy compression and bit stream …
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Automatic feature extraction for time series analysis using deep and machine learning
… which are obtained through continuous wavelet transform, serve as feature extractors. The trained model accurately distinguishes ECGs with fall activity from those without at an accuracy of 98.02%. The robustness of the algorithm is verified by augmenting the experimental dataset with …
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LARGE-SCALE DATA ANALYSIS OF GENE EXPRESSION MAPS OBTAINED BY VOXELATION
… pair of feature vectors which were extracted by wavelet transformation from the hemispheres averaged gene expression maps. Similarities of gene functions were identified by Lin's method based on gene ontology structures. On the other side, we proposed a multiple clustering approach, combined with …
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