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Filtering by: Subject Signal processing -- Mathematical models Remove constraint Subject: Signal processing -- Mathematical models Academic Affiliation Electrical Engineering and Computer Science Remove constraint Academic Affiliation: Electrical Engineering and Computer Science

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  • 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

  • Evaluation of UWB techniques for indoor position locationing

    Creator:
    Chou, Tai Chian
    Abstract:
    Time of Arrival (TOA) is a popular technique used for geolocation. This thesis evaluates the use of TOA techniques indoors. The accuracy of measuring distances using TOA is dependent on the bandwidth of the system and the multipath conditions between the receiver and transmitter. System bandwidth has a significant effect...
    Resource Type:
    Masters Thesis
    Full Text:
    location, the path loss models play a huge role. The path loss model is a measure of signal power

  • 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

  • Applied color processing

    Creator:
    Zhang, Heng
    Abstract:
    The quality of a digital image pipeline relies greatly on its color reproduction which should at a minimum handle the color constancy, and the final judgment of the excellence of the pipeline is made through subjective observations by humans. This dissertation addresses a few topics surrounding the color processing of...
    Resource Type:
    Dissertation
    Full Text:
    Engineering presented on November 29, 2011. Title: Applied Color Processing. Abstract approved

  • Three methods for estimating subpixel cover fractions in coarse resolution imagery

    Creator:
    Damon, Diane L.
    Abstract:
    Coarse resolution imagery, such as that produced by the MODIS instrument, poses the challenge of estimating sub-pixel proportions of di erent land cover types. This problem is di cult because of the variety and variability of vegetation within individual pixels. This thesis describes and compares two existing algorithms for estimating...
    Resource Type:
    Masters Thesis
    Full Text:
    are the linear spectral mixture model, which has previously been applied to coarse-resolution imagery

  • Activity recognition in desktop environments

    Creator:
    Shen, Jianqiang
    Abstract:
    Knowledge workers are struggling in the information flood. There is a growing interest in intelligent desktop environments that help knowledge workers organize their daily life. Intelligent desktop environments allow the desktop user to define a set of “activities” that characterize the user’s desktop work. These environments then attempt to identify...
    Resource Type:
    Dissertation
    Full Text:
    subgraphs. After finding the workflow models, we create a Logical Hidden Markov Model (LHMM) for each mined