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Filtering by: Creator Chang, Xiao Lan Remove constraint Creator: Chang, Xiao Lan Degree Field Electrical and Computer Engineering Remove constraint Degree Field: Electrical and Computer Engineering

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  • Large Scale Tensor Decomposition Algorithms Using Block-randomized Stochastic Proximal Gradient

    Creator:
    Gao, Cheng
    Abstract:
    We consider the problem of computing the cannonical polyadic decomposition (CPD) for large-scale dense tensors. This work is a combination of alternating least squares and fiber sampling. Data sparsity can be leveraged to handle large tensor CPD, but this route is not feasible for dense data. Inspired by stochastic optimization's...
    Resource Type:
    Masters Thesis
    Full Text:
    : Xiao Fu We consider the problem of computing the cannonical polyadic decomposition (CPD) for large

  • Behavior-based mobility prediction for fast handoffs in wireless LANs

    Creator:
    Wanalertlak, Weetit
    Abstract:
    Wireless Networks have been widely adopted into a major part of today's network infrastructure. They have become a popular technology to not only expand the coverage of wired networks but also to interconnect a large wireless network, i.e., wireless mesh networks. As they allow more flexible communication than traditional wired-networks...
    Resource Type:
    Dissertation
    Full Text:
    handoffs are added or deleted to reflect the chang- ing conditions. In addition, the Pre-Authentication

  • Design of a variable gain, high linearity, low power baseband filter for WLAN transmitters

    Creator:
    Ranganathan, Sachin
    Abstract:
    A variable gain, high linearity, low power baseband filter for WLAN applications is implemented in a 1.5 V 3 V 0.15 μm CMOS process. This fourth-order low-pass filter, which is introduced in the transmit channel as a reconstruction filter between the D/A converter and the mixer, has a measured cut-off...
    Resource Type:
    Masters Thesis

  • Flexible dual TCP/UDP streaming for H.264 HD video over WLANs

    Creator:
    Zhao, Jing
    Abstract:
    High Definition video streaming over WLANs faces many challenges because video data requires not only data integrity but also frames have strict playout deadline. Traditional streaming methods that rely solely on either UDP or TCP have difficulties meeting both requirements because UDP incurs packet loss while TCP incurs delay. This...
    Resource Type:
    Masters Thesis

  • A tunable duty-cycle-controlled switched-R-MOSFET-C CMOS filter for low-voltage and high-linearity applications

    Creator:
    Xiao, Ying
    Abstract:
    A novel switched-R-MOSFET-C input branch is proposed for low-voltage and high-linearity applications. The tunability is achieved by varying the clock duty cycle using an automatic tuning circuit. This tuning method does not involve a change in gate voltage, and is therefore particularly suitable for low-voltage applications. The advantages of the...
    Resource Type:
    Masters Thesis
    Full Text:
    Xiao for the degree of Master of Science in Electrical and Computer Engineering presented on January 8

  • A VHDL description of speech recognition front-end

    Creator:
    Xiao, Xin
    Abstract:
    This thesis investigates an implementation of speech recognition front-end. It is an application specific integrated circuit (ASIC) solution. A Mel Cepstrum algorithm is implemented for the feature extraction. We present a new mixed split-radix and radix-2 Fast Fourier Transform (FFT) algorithm, which can effectively minimize the number of complex multiplications...
    Resource Type:
    Masters Thesis
    Full Text:
    AN ABSTRACT OF THE THESIS OF Xin Xiao for the degree of Master

  • Foreground signature extraction for a non-linear hyperspectral mixing model

    Creator:
    Hollis, Jarrod
    Abstract:
    Hyperspectral images consist of intensity measurements associated with a large number of EM wavelengths per pixel. When a pixel contains a single material, the measurements of the pixel match the spectral signature of the material. When multiple materials are present in a single pixel, spectral mixing occurs, and signatures of...
    Resource Type:
    Masters Thesis
    Full Text:
    acknowledge Dr. Xiao Fu and Dr. Leonard Coop for serving on my defense committee. Finally, I would like to

  • Micro data flow processor design

    Creator:
    Chang, Chih-ming
    Abstract:
    Computer has evolved rapidly during the past several decades in terms of its implementation technology; it's architecture, however, has not changed dramatically since the von Neumann computer(control flow) model emerged in the 1940s. One main reason is that the performance for this kind of computers was able to satisfy the...
    Resource Type:
    Masters Thesis
    Full Text:
    THESIS OF ChihMing Chang for the degree of Master of Science in Electrical and Computer Engineering

  • Power Network Parameter Correction via Sparse Unsupervised Regression

    Creator:
    Senaratne, Galpottage Dilan S.
    Abstract:
    Accurate information of power network parameters is essential for performing various power system monitoring and control tasks including state estimation, economic dispatch, and contingency analysis. In this paper, we present a novel approach of power network parameter correction wherein we exploit the sparse nature of parameter errors. Parameter error correction...
    Resource Type:
    Masters Thesis
    Full Text:
    Raich, Prof. Eduardo Cotilla-Sanchez, Prof. Xiao Fu and GCR Prof. Leonard Coop for their time to be

  • Towards Pactive (Passive + Active) Sensing for Security Applications

    Creator:
    Menon, Arya
    Abstract:
    Increasing threats of terrorism and contraband smuggling have led to a growing interest in millimeter wave/ THz security sensors. Recently, systems combining active and passive sensing into one unit have been proposed where the active mode provides information on range and reflectivity, and the passive mode complements the active by...
    Resource Type:
    Dissertation
    Full Text:
    . Gokhan Mumcu, Dr. Andreas Weisshaar, Dr. Xiao Fu, and Dr. Douglas Keszler for their inputs to this