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Showing 1 to 15 of 15 for “"Karhunen-Loeve transform"”.
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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.
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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 …
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Transforms for prediction residuals based on prediction inaccuracy modeling
In a typical transform-based image and video compression system, an image or a video frame is predicted from previously encoded information. The prediction residuals are encoded with transforms. With a proper choice of the transform, a large amount of the residual energy compacts into a small …
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Sparse representation for audio noise removal using zero-zone quantizers
… of quantization can be applied on orthogonal transforms to remove the unwanted or redundant signal. Transforms reveal structures and properties of a signal and hence careful application of a zero zone over the transform coefficients leads to noise removal. In this thesis, such quantizers are …
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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 …
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GPU implementation of block transforms
… utilize NVIDIA CUDA GPUs to implement 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 …
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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 …
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A study of probability distributions of DCT coefficients in JPEG compression
The Discrete Cosine Transform (DCT) used in JPEG compression has shown excellent energy compaction 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 …
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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 …
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Demarcation of coding and non-coding regions of DNA using linear transforms
… introns are noise-like sequences. Fourier Transform of an exonic sequence exhibits a peak at frequency sample value k N/3 where N is the length of the FFT transform. This property is referred to as the period -3 property. Unlike exons, introns have a noise-like spectrum. The factor that …
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Design and performance of CDMA codes for multiuser communications
… (variable power) spread spectrum codes using Karhunen-Loeve Transform (KLT) technique. Eigen decomposition technique is used to generate spread spectrum basis functions that are jointly spread in time and frequency domains for a given covariance matrix or power spectral density function. Since …
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High performance digital signal processing: Theory, design, and applications in finance
… of big data. One particular tool is the Karhunen-Loeve transform (KLT) (also known as the principal component analysis) where covariance matrix of a stochastic process is decomposed into its eigenvectors and eigenvalues as the optimal orthonormal transform. Specifically, eigenanalysis is …
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Broadband adaptive beamforming with low complexity and frequency invariant response
… over other decorrelating measures, such as the Karhunen-Loeve transform. In order to address the remaining temporal correlation after BEVD processing, this approach is combined with subband decomposition through the use of oversampled filter banks. The resulting spatially and temporally …
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Subspace methods for portfolio design
… video compression applications, Discrete Cosine Transform (DCT) has been successfully employed in transform coding where Karhunen-Loeve Transform (KLT) is the optimum block transform. In this dissertation, a signal processing framework to design investment portfolios is proposed. Portfolio theory …
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A multiscale approach to state estimation with applications in process operability analysis and model predictive control
… the multiscale models corresponding to the Haar transform, which produces a modified hat transform for input data. Autoregressive models, commonly used in time series analysis, give rise to multiscale models on the tree. These allow us to construct numerical algorithms that are effcient and …