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Filtering by: Subject Signal processing -- Mathematical models Remove constraint Subject: Signal processing -- Mathematical models Degree Level Doctoral Remove constraint Degree Level: Doctoral

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  • 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

  • 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

  • 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

  • Image features and learning algorithms for biological, generic and social object recognition

    Creator:
    Zhang, Wei
    Abstract:
    Automated recognition of object categories in images is a critical step for many real-world computer vision applications. Interest region detectors and region descriptors have been widely employed to tackle the variability of objects in pose, scale, lighting, texture, color, and so on. Different types of object recognition problems usually require...
    Resource Type:
    Dissertation
    Full Text:
    with Dietterich, T., contributed the codebook learning algorithm and the logistic model trees

  • 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

  • Machine Learning Methods for Computational Sustainability

    Creator:
    Liu, Liping
    Abstract:
    Maintaining the sustainability of the earth’s ecosystems has attracted much attention as these ecosystems are facing more and more pressure from human activities. Machine learning can play an important role in promoting sustainability as a large amount of data is being collected from ecosystems. There are at least three important...
    Resource Type:
    Dissertation
    Full Text:
    classification model for the learning problem. The thesis also analyzes the learnability of the superset label

  • Monte Carlo random walk simulation as a complement to experimental and theoretical approaches : application to mass transfer in fish muscle tissue

    Creator:
    Almonacid-Merino, Sergio Felipe
    Abstract:
    Mass transfer processes in food systems, such as solute infusion, are poorly understood because of their complex nature. Food systems contain porous matrices and a variety of continuous phases within cellular tissues. Mass transfer processes are generally not pure diffusion: often convection, binding and obstructing diffusion will occur. Monte Carlo...
    Resource Type:
    Dissertation
    Full Text:
    , the results are used as input in a mathematical model that was developed for theoretical simulation