Index Catalog // ScholarsArchive@OSU

A probabilistic model for anomaly detection in remote sensor streams

Creator:: Dereszynski, Ethan W.
Abstract:: Remote sensors are becoming the standard for observing and recording ecological data in the field. Such sensors can record data at fine temporal resolutions, and they can operate under extreme conditions prohibitive to human access. Unfortunately, sensor data streams exhibit many kinds of errors ranging from corrupt communications to partial...
Resource Type:: Masters Thesis
Full Text:: Computer Science presented on October 25th, 2007. Title: A Probabilistic Model for Anomaly Detection in

Multi-dimensional parametric estimation: two-dimensional sharpening by predictive bandwidth extrapolation and fast algorithms for three dimensional autoregressive estimation

Creator:: Liew, Ji Seok
Abstract:: Achieving sharpened (enhanced detail) features of a multi-dimensional data source using the linear prediction (LP) bandwidth extrapolation (BWE) technique in the transform domain is the main objective of this research. The evolution of sensor technology has provided acquisition scenarios in which the data format is inherently multi-dimensional, including hyperspectral imaging...
Resource Type:: Dissertation
Full Text:: techniques to determine information regarding target position signal; conventional FFT processing, model

Kinematic and cyclostationary parameter estimation for co-channel emitter location applications

Creator:: Ohm, David R.
Abstract:: The problem of locating a signal source, or an emitter, has many civilian and military applications, such as communication regulations enforcement, military reconnaissance, and search-and-rescue operations. Many of the most widely used emitter location methods rely on the accurate and robust estimation of the differential time delay, or time-difference-of-arrival (TDOA),...
Resource Type:: Dissertation
Full Text:: estimating TDOA and FDOA for a SOI, it is necessary to form a mathematical signal model that will adequately

Performance-improving techniques for wireless systems

Creator:: Ozdural, Orhan Can
Abstract:: In this thesis, maximum likelihood Doppler frequency estimation and phase noise suppression algorithms for Orthogonal Frequency Division Multiplexing (OFDM) systems are presented. A novel handover decision algorithm for wireless systems, called predictive base station switching (PBSS), is also introduced. The maximum Doppler Frequency is the ratio of the speed of...
Resource Type:: Dissertation
Full Text:: signal strengths and MS-BS distance information. 17 1.3. Notation Summary Acronyms and mathematical

Noise coupling techniques in multi-cell delta-sigma modulators

Creator:: Bonu, Madhulatha
Abstract:: High performance multi-cell delta-sigma modulators are a preferred choice in applications which require programmability. Multi-cell delta-sigma modulators with M unit cells provide 10log10(M) SQNR improvement for the same thermal noise and bias power due to the uncorrelated quantization noises of the M unit ADCs. This concept is used in this...
Resource Type:: Masters Thesis
Full Text:: quantization can be used to increase the signal to noise ratio (SNR) and to even improve the stability of the

Automated model parameter extraction for noise coupling analysis in silicon substrates

Creator:: Peterson, Brett
Abstract:: An automated method, requiring the fabrication of a small set of test structures, efficiently extracts the coefficients of Z-parameter based macromodels. The extraction approach has been validated for both heavily and lightly doped substrates and can be applied to a variety of technologies. After the parameters of a macromodel have...
Resource Type:: Masters Thesis
Full Text:: is typical to use a curve-fitting approach to extract the parameters for a mathematical model and

Processing sequences of chromatophore images with application to a signal transduction pathway modeling

Creator:: Orhanovic, Iva
Abstract:: Systems biology is becoming increasingly important for the study of living organisms. It focuses on the mathematical understanding of biological systems. Cells, the basic units of all living creatures, are biological systems of major interest. Considerable work is being done towards modeling cells as mathematical systems. At the same time,...
Resource Type:: Dissertation

Image feature detection and matching for biological object recognition

Creator:: Deng, Hongli
Abstract:: Image feature detection and matching are two critical processes for many computer vision tasks. Currently, intensity-based local interest region detectors and local feature-based matching methods are used widely in computer vision applications. But in some applications, such as biological object recognition tasks, within-class changes in pose, lighting, color, and texture...
Resource Type:: Dissertation
Full Text:: . 6.2 and 6.12. . . . . . . . . . 106 7.1 Various types of spatial models. (a) Constellation model. (b

Modeling the Tualatin River system including Scoggins Creek and Hagg Lake: model description, geometry, and forcing data

Creator:: Wells, Scott A., Berger, Christopher, Knutson, Mike, and Oregon State University. Water Resources Research Institute
Abstract:: The goal of this phase of the study was to develop a model of the Tualatin River incorporating Scoggins Creek and Hagg Lake. This tool will be used in conjunction with a hydrologic model, the EPA HSPF model (Johnson, Imhoff, and Kittle, 1984), to analyze management strategies to improve water...
Resource Type:: Technical Report
Full Text:: INCLUDIN G SCOGGINS CREEK and HAGG LAKE: MODEL DESCRIPTION, GEOMETRY, and FORCING DAT A by Scott A

ScholarsArchive@OSU

A probabilistic model for anomaly detection in remote sensor streams

Multi-dimensional parametric estimation: two-dimensional sharpening by predictive bandwidth extrapolation and fast algorithms for three dimensional autoregressive estimation

Kinematic and cyclostationary parameter estimation for co-channel emitter location applications

Performance-improving techniques for wireless systems

Noise coupling techniques in multi-cell delta-sigma modulators

Automated model parameter extraction for noise coupling analysis in silicon substrates

Processing sequences of chromatophore images with application to a signal transduction pathway modeling

Image feature detection and matching for biological object recognition

Modeling the Tualatin River system including Scoggins Creek and Hagg Lake: model description, geometry, and forcing data

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