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 10 of 10 for “"Auto-regressive model"”.
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Optimal Linear Processing for Image and Video Coding
… inefficient at low bit rates. Using a Gaussian auto-regressive model, we propose the incorporation of rate-distortion optimized filters into the DPCM loop. It is shown that these filters trade off less important spectral components of the source for significant improvements in the …
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Do prices drive commercial trader positions in grains and oilseeds markets?
… behavior. Second, we develop a Structural Vector Auto-Regressive Model (SVAR) to account for endogeneity issues in the analysis of the effects of futures prices and of the VIX on commercial positioning in grains and oilseeds markets. The results from Impulse Response Functions (IRFs) retrieved …
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Bayesian Time Series Learning with Gaussian Processes
… designed to learn Bayesian nonparametric models of time series. The goal of these kinds of models is twofold. First, they aim at making predictions which quantify the uncertainty due to limitations in the quantity and the quality of the data. Second, they are flexible enough to model …
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Robust Speech Filter And Voice Encoder Parameter Estimation using the Phase-Phase Correlator
… a maximum likelihood parameter estimation of an auto-regressive model of order ten that best fits the speech signal under the assumption that the signal and the noise are Gaussian stochastic processes. However, this method breaks down in the presence of impulse noise, which is common in practice, …
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On-Line Transient Stability Analysis of a Multi-Machine Power System Using the Energy Approach
… is the over-simplification of the generator model, is overcome. This new method consists of fitting a curve to the data of the post-fault path provided by PMUs and identifying the controlling unstable equilibrium point (c.u.e.p.). Two second-order linear models have been estimated and …
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Damage Detection Methodologies For Structural Health Monitoring of Thin-Walled Pressure Vessels
… analysis, cross-correlation analysis and Auto Regressive model with eXogeneous input (ARX) models 4) Compare differences in various types of pressure vessels First an introduction to theoretical pressure vessels, which are used to compare to actual test specimens, is presented. Next, a …
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Studies in Multiple-Antenna Wireless Communications
… a time-varying diffuse component. A first- order auto-regressive model is used to characterize diffuse channel coefficients that vary from symbol to symbol, and is shown to lead to an effective SNR that decreases with time. A lower bound on the capacity of trained modulation is found for the …
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Statistical methods for quantification of voxel-level image noise in PET/CT imaging
… study. Method: The approach is based on a Gamma-model representation of the stochastic character of voxel-level uptake data. First, we develop a novel two-step method to fit this model using CT attenuation information and local homogeneity. Step 1: For each voxel, we obtain the initial estimates …
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Ambient Backscatter Communication Systems: Design, Signal Detection and Bit Error Rate Analysis
… backscatter for a time-selective channel. Modeling the time-selective fading as a first-order autoregressive (AR) process, we implement a new detection architecture at the receiver based on the direct averaging of the received signal samples, which departs significantly from the energy …
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Differential modulation and non-coherent detection in wireless relay networks
… is analyzed. For this purpose, a time-series model is developed for characterizing the time-varying nature of the cascaded channel encountered in amplify-and-forward relaying. Also, for single-branch and multi-branch dual-hop relaying without a direct link, multiple-symbol differential …