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.
Results
Showing 1 to 20 of 35 for “"Karhunen Loeve"”.
-
Application of the Karhunen-Loeve transform to the representation of vectorcardiograms.
Thesis. 1977. B.S.--Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.
-
De-noising of Real-time Dynamic Magnetic Resonance Images by the Combined Application of Karhunen-Loeve Transform (KLT) and Wavelet Filtering
A hybrid filtering method called Karhunen Loeve Transform-Wavelet (KW) filtering is presented to de-noise dynamic cardiac magnetic resonance images that simultaneously takes advantage of the intrinsic spatial and temporal redundancies of real-time cardiac cine. This new image filtering technique …
-
Transforms for prediction residuals based on prediction inaccuracy modeling
… with the best energy compaction property is the Karhunen Loeve transform. In this thesis, we develop a new set of transforms for prediction residuals. We observe that the prediction process in practical video compression systems is usually not accurate. By studying the inaccuracy of the …
-
Sparse representation for audio noise removal using zero-zone quantizers
… are applied over Discrete Fourier Transform and Karhunen Loeve Transform coefficients separately, and outputs compared. Further, the localization of the zero zones to certain frequencies leads to better performance in terms of noise removal. PEAQ (Perceptual Evaluation of Audio Quality) scores …
-
Large Scale Simulation of Spinodal Decomposition
… on the Wiener chaos expansion (WCE) and the Karhunen-Loeve expansion (KLE), is presented. Applying the two expansions to time-space white noise, we transform the CHC equation into a deterministic form. The main advantage of the Wiener chaos approach is that it separates deterministic and …
-
Appearance based object recognition using independent component analysis
… dimensionality reduction is usually done using Karhunen-Loeve transform (KLT), or principal component analysis (PCA). The lower dimensional space has been called the eigenspace. For recognition, the test image is projected likewise onto the eigenspace and its position on the appearance manifold …
-
GPU implementation of block transforms
… orthogonal transforms such as signal dependent Karhunen-Loeve Transform and signal independent Discrete Cosine Transform. GPU architecture and programming model are examined. Mathematical preliminaries of orthogonal transform, eigen-analysis and algorithms are re-visited. Due to highly parallel …
-
The classification of acoustic emission signals via artificial neural network
… perform signal processing functions such as the Karhunen-Loeve Transform (KLT) and pattern recognition functions such as the Principal Component Analysis (PCA). The configuration of the classifier is a multilayer feed forward network in which the supervised and unsupervised learning algorithms …
-
A study of probability distributions of DCT coefficients in JPEG compression
… properties that rival that of the ideal Karhunen-Loeve Transform. Lossy compression in JPEG is achieved by distorting 8x8 block DCT coefficients through quantization. It has been shown in literature that DC block DCT coefficients are Gaussian probability distributed and AC block DCT …
-
Nichtlineare Dynamik von chemischen Sauerstoff-Oszillatoren
… experimentellen Daten werden anschließend der Karhunen-Loeve Zerlegung unterworfen, um die komplexe Dynamik der Systemantwort zu studieren. Die Oxidation von Ascorbinsäure durch Luftsauerstoff in Gegenwart von Kupfer(II)ionen, wird im CSTR durchgeführt. Dabei läßt sich das Phänomen der …
-
Hyperspectral Image Compression Using a Two-Stage KLT
… 2000 (extension 2) is replaced with a two-stage Karhunen-Loeve Transformation (KLT) operation resulting in a reduction in the computational complexity. At the first stage the spectral data is partitioned into sets of adjacent spectral images, which are decorrelated independently of one another. …
-
A Variational Approach to Estimating Uncertain Parameters in Elliptic Systems
… of the uncertain observations (via a truncated Karhunen-Loeve expansion) allows us to estimate the infinite dimensional problem by a smooth, albeit high dimensional, deterministic optimization problem, the so-called 'finite noise' problem, in the space of functions with bounded mixed …
-
A general-purpose reduction-intensive feature selector for pattern classification
… feature selectors are evaluated including the Karhunen-Loeve, SELECT, exhaustive, accelerated, "n best features", sequential forward search, sequential backward search, and the "plus q - take away r" feature selection methods. Each of these methods has particular problems, making them poor …
-
Model Reduction and Domain Decomposition Methods for Uncertainty Quantification
… Decomposition (DD) approach to compute the Karhunen-Loeve (KL) modes of a random process through the use of local KL expansions at the subdomain level. Furthermore, we analyze the relationship between the local random variables associated to the local KL expansions and the global random …
-
Estimation of Uncertain Vehicle Center of Gravity using Polynomial Chaos Expansions
… in the center of gravity calculation is derived. Karhunen-Loeve expansions, similar to Fourier series, are used to define the uncertainties to allow for the polynomial chaos expansion. PCE models are typically computed via the collocation method or the Galerkin method. The Galerkin method is …
-
Spatiotemporal dynamics of a photorefractive phase-conjugate resonator
… the model. The dynamics are also studied using a Karhunen-Loeve decomposition in which the eigenvectors of the covariance matrix are calculated. The covariance matrix is obtained from the transverse intensity fluctuations of the cavity field and the eigenvectors are interpreted as the active …
-
A Study of Perceptually Tuned, Wavelet Based, Rate Scalable, Image and Video Compression
… Set Partition In Hierarchical Tree (SPIHT) and Karhunen-Loeve Transform (KLT). Secondly, a novel wavelet based interframe compression scheme has been developed and put into practice. It is based on the Flexible Block Wavelet Transform (FBWT) that we have developed. FBWT based interframe …
-
Series de potencias y descomposición ortogonal propia aplicados a la dinámica de cadenas y cables poco tensos
… Método de Descomposición Ortogonal y Bases de Karhunen-Loeve. En particular se abordan problemas inherentes al comportamiento dinámico de cadenas y cables poco tensos. Se muestra que la herramienta resulta de utilidad para abordar ecuaciones y sistemas diferenciales no lineales, ya sean …
-
Demarcation of coding and non-coding regions of DNA using linear transforms
… of the Discrete Fourier Transform and the Karhunen Loeve Transform. Though both DFT and KLT of an exon sequence produce a higher figure of merit than that for an intron sequence, it is interesting to note that the difference in the figure of merits of exons and introns was higher when the …
Page 1 of 2