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 10 of 10 for “"AR Process"”.
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New approaches in training for in situ visualization of ionizing radiation measurements
… with the incorporation of augmented reality (AR) technology to improve real-time awareness in situ and virtual reality (VR) technology to better develop the skill set of the surveyor in realistic virtual environments beforehand. This thesis investigates and develops a novel process to display …
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Cascade RLS with Subsection Adaptation
… of the speech coding, the more communicating parties can be carried on that channel. This research has as its main application the extraction of the parameters of human speech for speech coding purposes. We propose an RLS-based cascade adaptive filter structure that can significantly reduce the …
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Combining measurements with deterministic model outputs: predicting ground-level ozone
… for air pollutants or other meteorological variables. We consider two different approaches to address this particular problem. The first approach is by using the Bayesian Melding (BM) model proposed by Fuentes and Raftery (2005). We successfully implement this model and conduct several …
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SAMoSSA: Multivariate Singular Spectrum Analysiswith Stochastic Autoregressive Noise
… (i) estimating deterministic, non-stationary trend and seasonality components, followed by (ii) learning the residual stochastic, stationary components. Recently, it has been shown that one can learn the deterministic non-stationary components accurately using multivariate Singular …
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An action research study of Patient and Public Involvement (PPI) in the NHS: How can PPI influence healthcare planning and decision making?
… in health policy for the NHS for the last 30 years and yet there is little evidence of their involvement influencing healthcare planning and decision making. PPI is a legislative duty for NHS bodies and yet there remains what is perceived as a ‘brick wall’ between the outputs of PPI and the …
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Parameter estimation for exponential signals in colored noise using the pseudo-autoregressive (PAR) model
Most modem techniques for high resolution processing of closely spaced signals assume either uncorrelated noise or require knowledge of the noise covariance matrix. These assumptions are often invalid in practice. Here we propose a Pseudo-Autoregressive (PAR (M, <i>p</i>) model for estimation of an …
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Machine Learning Aided Decision Making and Adaptive Stochastic Control in a Hierarchical Interactive Smart Grid
In this dissertation, a hierarchical interactive architecture for the future smart grid is proposed. This hierarchical architecture consists of different layers ranging from the households, microgrid controller level, feeder level and substation level. The proposed smart grid architecture is …
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Modeling Autocorrelation and Sample Weights in Panel Data: A Monte Carlo Simulation Study
… or joint influence of autocorrelative processes (autoregressive-AR, moving average-MA, and autoregressive moving average-ARMA) and sample weights present in a longitudinal panel data set. Specifically, to what extent are the sample estimates influenced when autocorrelation (which is …
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Three essays on spatial econometrics with an emphasis on testing
Spatial Modeling has been one of the important parts in Applied Econometrics as well as Econometrics Theory in the past thirty years, not only because of the nature that the geographic locations and interactions play a crucial role in forming behavior, but also because of the challenging problems …
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Ambient Backscatter Communication Systems: Design, Signal Detection and Bit Error Rate Analysis
The success of the Internet-of-Things (IoT) paradigm relies on, among other things, developing energy-efficient communication techniques that can enable information exchange among billions of battery-operated IoT devices. With its technological capability of simultaneous information and energy …