Search Constraints

Start Over
Filtering by: Creator Main, Martin Remove constraint Creator: Main, Martin Degree Field Electrical and Computer Engineering Remove constraint Degree Field: Electrical and Computer Engineering Resource Type Dissertation Remove constraint Resource Type: Dissertation

Search Results

  • Enhanced-accuracy oversampled data converters

    Creator:
    Ceballos, Jose Luis
    Abstract:
    Digital-to-analog converters (DACs) suffer from static and dynamic nonlinearity problems, which degrade their accuracy and performance. Mismatch errors in the analog components restrict the maximum achievable linearity. This thesis presents various techniques for correcting these errors. It describes a correction process for the nonlinear behavior of DACs, on three different...
    Resource Type:
    Dissertation
    Full Text:
    : architectural design, circuit design, and layout design. The main results achieved are listed below

  • Information theoretic approach to quantization and classification for signal processing, communications, and machine learning applications

    Creator:
    Thuan Nguyen D.
    Abstract:
    There are five main contributions of this dissertation. The first contribution is new closed-form expressions for channel capacity of a new class of channel matrices. The second contribution is the discovery of the structure for optimal binary quantizer and the associated methods for finding an optimal quantizer that maximizes mutual...
    Resource Type:
    Dissertation
    Full Text:
    , COMMUNICATIONS, AND MACHINE LEARNING APPLICATIONS Abstract approved: Thinh P. Nguyen There are five main

  • Adaptive model-based motion estimation

    Creator:
    Crinon, Regis
    Abstract:
    A general discrete-time, adaptive, multidimensional framework is introduced for estimating the motion of one or several object features from their successive non-linear projections on an image plane. The motion model consists of a set of linear difference equations with parameters estimated recursively from a non-linear observation equation. The model dimensionality...
    Resource Type:
    Dissertation
    Full Text:
    given to illustrate the main concepts. Redacted for Privacy Adaptive Model-Based Motion Estimation

  • Resource allocation optimization in large scale distributed systems

    Creator:
    Duong-Ba, Thuan Hong
    Abstract:
    We studied the problem of resource allocation in large scale distributed applications such as Online Social Networks (OSN) and Cloud Computing. In such settings, resource allocation schemes need to efficient as well as adaptive to the time-varying environments. The abstract resource allocation problem concerns with how to optimally use resources...
    Resource Type:
    Dissertation
    Full Text:
    servers. Specifically, the dissertation has three main components. The first component deals with

  • Low voltage switched capacitor circuits for lowpass and bandpass [delta sigma] converters

    Creator:
    Keskin, Mustafa
    Abstract:
    The most accurate method for performing analog signal processing in MOS (metal-oxide-semiconductor) integrated circuits is through the use of switched-capacitor circuits. A switched-capacitor circuit operates as a discrete-time signal processor. These circuits have been used in a variety of applications, such as filters, gain stages, voltage-controlled oscillators, and modulators. A...
    Resource Type:
    Dissertation
    Full Text:
    cellular phones. The main block, in these converters, is the resonator, which is tuned to a particular

  • Performance modeling and analysis of asynchronous pipelines for designers

    Creator:
    Chang, Chih-ming, 1964-
    Abstract:
    Better performance has been one of the main motivations behind the recent resurgence of interest in asynchronous circuits (no matter whether this is always true or not). We are particularly interested in the performance of pipelines since they are used extensively in current digital systems. There exists an algorithm that...
    Resource Type:
    Dissertation
    Full Text:
    Better performance has been one of the main motivations behind the recent resur- gence of interest in

  • Architectures and algorithms for dynamic overlay networks

    Creator:
    Abdelwahab, Sherif
    Abstract:
    Most of today’s Internet of Things (IoT) applications assume that data will be moved offdevices into centralized cloud platforms. While existing IoT systems leverage cloud-based analytics for meaningful data reasoning, the assumption that data should always be moved off the devices is problematic. The amount of data to be moved...
    Resource Type:
    Dissertation
    Full Text:
    three main components. The first component is a device management protocol for cloning devices’ data

  • Learning algorithms for adapting the compliance of robotic limbs

    Creator:
    Aboufazeli, Mahtab
    Abstract:
    Motivation: Many robots such as legged robots and prosthetic hands/arms are designed to interact with uncertain and time-varying environments to accomplish their tasks. Observations on humans and animals during their daily tasks suggest that they adapt their leg compliance while traversing with different velocities on different grounds and adjust their...
    Resource Type:
    Dissertation
    Full Text:
    , etc.) tracking. The main objective of this Dissertation is divided into three parts: (1) Adaptively

  • Detection and diagnosis of parameters change in linear system using time-frequency transformation

    Creator:
    Park, Dae-hyun
    Abstract:
    A systematic optimization of the Cohen class time-frequency transformation for detecting the parameters change is developed. The local moments approach to change detection is proposed and a general formula for the local moments is derived. The optimal kernel functions of the time-frequency transformation are determined based on the combined criteria...
    Resource Type:
    Dissertation
    Full Text:
    developing solution to the corresponding stochastic problems. The main contribution of this work is in

  • Low-power double-sampled delta-sigma modulator for broadband applications

    Creator:
    Shen, Weilun
    Abstract:
    High speed and high resolution analog-to-digital converter is a key building block for broadband wireless communications, high definition video applications, medical images and so on. By leveraging the down scaling of the latest CMOS technology and the noise shaping properties, delta-sigma (ΔΣ) ADCs are able to achieve wide-band operation and...
    Resource Type:
    Dissertation
    Full Text:
    privilege to work with him. Then, my special appreciation goes to Professor Ken Martin at the University