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 12 of 12 for “"Stochastic Signal"”.
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Analysis and Characterization of Fiber Nonlinearities with Deterministic and Stochastic Signal Sources
… studied using the sinusoidally modulated input signal. The derived expression shows good agreement with numerical results in conventional fiber systems over a wide range of channel spacing, ∆<i>f</i>, and in dispersion-shifted fiber systems when ∆<i>f</i> > 100GHz. It is also shown that the …
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Fractal image compression and the self-affinity assumption : a stochastic signal modelling perspective
… results in an efficient codebook. The signal property required for such a codebook to be effective, termed "self-affinity", is poorly understood. A stochastic signal model based examination of this property is the primary contribution of this dissertation. The most significant findings …
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Localization and separation of concurrent talkers based on principles of auditory scene analysis and multi-dimensional statistical methods
… and to treat speech as a multidimensional stochastic signal, using a priori knowledge about it. To implement these, Bayesian estimation, sequential Monte Carlo methods, and statistical evaluation of speech databases are used. Three on-line algorithms are developed and tested, which run …
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Signal detection in fractional Gaussian noise and an RKHS approach to robust detection and estimation
… two parts. In the first part, the problem of signal detection in fractional Gaussian noise is considered. To facilitate the study of this problem, several results related to the reproducing kernel Hilbert space of fractional Brownian motion are presented. In particular, this reproducing kernel …
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Digital signal processing analysis of switched capacitor filters
A deterministic and stochastic signal analysis is presented on switched capacitor filters. This relatively new discrete-time circuit design technology provides a wide field of applications in the areas of filters, circuitry, and communications. It also raises numerous problems and challenges in …
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Adaptive Stochastic Systems: Estimation, Filtering, And Noise Attenuation
… arising in identification and control of stochastic systems. When the parameters determining the underlying systems are unknown and/or time varying, estimation and adaptive filter- ing are invoked to to identify parameters or to track time-varying systems. We begin by considering linear …
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Sex and Fear: Mathematical models of mate choice, parental care, and maladaptive anxiety
… In Chapter 1 of this thesis, a model of costly signaling is developed to investigate how stochastic signal costs influence the overall cost of communication. Chapter 2 presents a model of mate choice where females must infer from his appearance whether a potential mate will choose to be a good …
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Integration of real time oxygen measurements with a 3D perfused tissue culture system
… glued to the end of an optical fiber using a stochastic signal from a light emitting diode (LED). The response is then measured on a photodiode. System identification techniques are used to determine the relevant time constants which are subsequently converted to oxygen measurements. …
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Strategic Environmental Assessment for Municipal Water Demand Based on Climate Change
… consumption and climate variables to detect the stochastic signal for each time series. In the same context, the hybrid algorithms are used to find the best value of learning rate coefficient and the number of neurons in both hidden layers of the ANN model. Based on the performance of each hybrid …
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From Homogeneous To Heterogeneous: Statistical 3-D Signal Reconstruction Of Macromolecular Complexes
… complex is a virus. The problem is treated as a stochastic signal in noise problem with the goal of estimating the statistics of the signal by a maximum likelihood estimator. The signal model includes both discrete and continuous heterogeneity, specifically, within each class of the discrete …
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One-vector representations of stochastic signals for pattern recognition
… recognition system, we primarily deal with stochastic signals such as speech, image, video, and so forth. Often, a stochastic signal is ideally of a one-vector form so that it appears as a single data point in a possibly high-dimensional representational space, as the majority of pattern …
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Machine Learning Aided Decision Making and Adaptive Stochastic Control in a Hierarchical Interactive Smart Grid
… modeling, (2) demand response (DR), (3) stochastic tracking control of the conventional generation in the presence of DER's (both renewable energy and plug-in hybrid electric vehicle (PHEV)) and (4) machine learning aided decision making for smart-homes. In the first part, a series of …