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Filtering by: Creator Welter%2C Stephen C. Remove constraint Creator: Welter%2C Stephen C. Committee Member Nguyen, Thinh Remove constraint Committee Member: Nguyen, Thinh

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  • Decoding channel coded higher-order QAM signals over Gaussian and Rayleigh fading channels

    Creator:
    Yang, Yun
    Abstract:
    In modern digital communication systems, error correction codes (ECC) are widely used and play an important role. The main effect of ECCs is to reduce the transmission error caused by channel noise, thereby protecting data and increasing the quality of information transmission. In addition, high spectral efficiency is desired in...
    Resource Type:
    Masters Thesis
    Full Text:
    to all my committee members, Dr. Thinh Nguyen, Stephen Redfield and Dr. Abi Farsoni, with their

  • Spatial motion vector recovery in wireless high definition video transmission using H.264 over WLANs

    Creator:
    Gatimu, Kevin
    Abstract:
    Mobile devices are becoming more prevalent and complex. As a result, the wireless communication aspect of these devices is becoming increasingly significant. At the same time, video demands in terms of availability and quality are also on the uprise. High definition (HD) video is the standard of choice for meeting...
    Resource Type:
    Masters Thesis
    Full Text:
    macroblock in what will be referred to as competitive motion vector recovery (CMVR). c©Copyright by Kevin

  • Design techniques for low power high speed successive approximation analog-to-digital converters

    Creator:
    Lin, Jiaming
    Abstract:
    This dissertation presents two high-speed pipeline successive approximation analog-to-digital converters (SAR ADCs). Capacitive DACs and resistive DACs are utilized in these two pipeline SAR ADCs, respectively. The pipeline SAR ADC with capacitive DACs can save 50% switching power compared with other time-interleaved SAR ADCs since the total capacitance of the...
    Resource Type:
    Dissertation
    Full Text:
    Synchronous and Asynchronous Clocking .................................................. 6 1.4.2 C-2C

  • Linearity enhancement techniques for data converters

    Creator:
    Cao, Jinzhou
    Abstract:
    Data converters are essential interface circuits between the analog world that people live in and the digital processors that people live with. Linearity, which often is a tradeoff against other performance criteria, is one of the major performance demands from applications for both analog-to-digital converts (ADC) and digital-to-analog converters (DAC)....
    Resource Type:
    Dissertation
    Full Text:
    : ______________________________________________________ Gabor C. Temes Data converters are essential interface circuits between the analog

  • Low-power successive approximation analog to digital converter with digital calibration

    Creator:
    Li, Wei
    Abstract:
    IC designers are continuously facing the challenges from reduced CMOS feature sizes and supply voltages. ADCs that deliver satisfactory resolutions/speeds while utilizing the state-of-the-art technologies to save power are in high demand. The analog circuits are more and more assisted by various digital calibration techniques to get boosted performances. This...
    Resource Type:
    Dissertation
    Full Text:
    time-interleaved C-2C SAR ADC in 45 nm LP digital CMOS," ISSCC 2009, pp. 76–77, Feb. 2009. [1-10] M

  • Design techniques for wideband low-power Delta-Sigma analog-to-digital converters

    Creator:
    Wang, Yan
    Abstract:
    Delta-Sigma (ΔΣ) analog-to-digital converters (ADCs) are traditionally used in high quality audio systems, instrumentation and measurement (I&M) and biomedical devices. With the continued downscaling of CMOS technology, they are becoming popular in wideband applications such as wireless and wired communication systems,high-definition television and radar systems. There are two general realizations...
    Resource Type:
    Dissertation
    Full Text:
    : _____________________________________________________________________ Gábor C. Temes Pavan Kumar Hanumolu Delta-Sigma (ΔΣ) analog-to-digital converters (ADCs

  • On edge disjoint Hamiltonian cycles in torus and Gaussian networks

    Creator:
    Alazemi, Fawaz M.
    Abstract:
    Many algorithms in parallel systems can be easily solved if we can generate a Hamiltonian cycle on the underly network. Finding Hamiltonian cycle is a well known NP-complete problem. For specific instances of regular graphs, such as Torus and Gaussian network, one can easily find Hamiltonian cycles. In this thesis,...
    Resource Type:
    Masters Thesis
    Full Text:
    Gaussian network G bn/2c α , for 1 ≤ 2r ≤ n < 2r+1. c©Copyright by Fawaz M. Alazemi December 4, 2014

  • Applications of Holographic Optical Tweezers: Multiplexed Fluorescence Spectroscopy and the Micromechanics of Type-I Collagen

    Creator:
    Cibula, Matthew A.
    Abstract:
    The development and some applications of holographic optical tweezers (HOT) are presented. Our HOT system uses a spatial light modulator (SLM) to control the location and properties of the optical trap. We have developed a method for optimizing the diffraction efficiency of a SLM that can be applied in situ...
    Resource Type:
    Dissertation
    Full Text:
    samples prepared at 21◦C and 37◦C show that gels formed at lower tem­ perature are more inhomogeneous

  • Identifiability-Aware Joint Sparse Error Correction For Robust State Estimation

    Creator:
    Kibria, Sharmin
    Abstract:
    We study joint nonlinear state estimation with multi-period measurement vectors that are potentially corrupted by sparse gross errors. The identifiability-aware approach is proposed to leverage common characteristics of fundamentally identifiable gross errors to enhance error correction performance. First, we derive a necessary rank condition that the sparsity pattern of any...
    Resource Type:
    Dissertation
    Full Text:
    118-bus networks. c©Copyright by Sharmin Kibria June 1, 2020 All Rights Reserved

  • Convergence Analysis Framework for Fixed-Point Algorithms in Machine Learning and Signal Processing

    Creator:
    Vu, Trung
    Abstract:
    Iterative algorithms are simple yet efficient in solving large-scale optimization problems in practice. With a surge in the amount of data in past decades, these methods have become increasingly important in many application areas including matrix/tensor recovery, deep learning, data mining, and reinforcement learning. To optimize or improve iterative algorithms,...
    Resource Type:
    Dissertation
    Full Text:
    set C, the projected gradient descent update is given by x(k+1) = PC ( x(k) − η∇f(x(k)) ) , where