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Filtering by: Creator Zhao, Jie Remove constraint Creator: Zhao, Jie Degree Field Electrical and Computer Engineering Remove constraint Degree Field: Electrical and Computer Engineering

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  • Channel estimation and data detection for mobile MIMO OFDM systems

    Creator:
    Gao, Jie
    Abstract:
    Designing spectral efficient, high-speed wireless links that offer high quality- of-service and range capability has been a critical research and engineering challenge. In this thesis, we mainly address the complexity and performance issues of channel estimation and data detection in multiple-input multiple-output (MIMO) orthogonal frequency division multiplexing (OFDM) systems over...
    Resource Type:
    Dissertation
    Full Text:
    AN ABSTRACT OF THE THESIS OF Jie Gao for the degree of Doctor of

  • Pulsed ultra-wideband: transmission, detection, and performance

    Creator:
    Zhao, Shiwei
    Abstract:
    Ultra-wideband (UWB) communication has emerged as a very promising technology for short-range wireless applications, including high-speed multimedia transmissions and sensor networks. UWB system designs involve many different aspects covering analog and digital processing, channel estimation and modeling, and modulation and demodulation. Although UWB still faces many challenges, significant progress has...
    Resource Type:
    Dissertation
    Full Text:
    mythesis.dvi AN ABSTRACT OF THE THESIS OF Shiwei Zhao for the

  • People Counting System Using MmWave MIMO Radar with 3D Convolutional Neural Network

    Creator:
    Shih, Cheng-Che
    Abstract:
    Recent advances in computing, communication, and artificial intelligence (AI) technologies have made our world more interconnected and data-rich than ever with the proliferation of smart devices and sensors. As a result, we are increasingly dependent on electronic devices and sensors to automate away life’s mundane parts. For example, in business...
    Resource Type:
    Masters Thesis
    Full Text:
    Fourth International Conference on Genetic and Evolutionary Computing, 2010, pp. 699–702. [6] Xi Zhao

  • Information-theoretic Approach to Design and Evaluate Privacy-preserving and Fair Frameworks for Continuous High-dimensional Data

    Creator:
    Alsulaimawi, Zahir Ahmed Hussein
    Abstract:
    Deep learning is becoming the latest trend in sensitive applications, such as healthcare, criminal justice, and finance. As these new applications emerge, adversaries are circumventing them. Further, there have been concerns about the possibility of bias and discrimination in predictive applications. In order to address these issues, we propose an...
    Resource Type:
    Dissertation

  • Quantum dot plasmon coupling : Fundamental study and applications

    Creator:
    Kannegulla, Akash
    Abstract:
    The dissertation focuses on the engineering of light-matter interaction using plasmonic nanoparticles and metamaterials to achieve enhanced luminescence and based on which to improve the performance of biosensing and light-emitting technologies. We designed and fabricated a spectrum of nanostructures to exhibit particular dispersion relations capable of controlling the spontaneous emission...
    Resource Type:
    Dissertation

  • A Novel CCRW Receiver with Variable Width Window for Mitigating Multipath and Ambiguity in GNSS Positioning

    Creator:
    Alhussein, Fahad
    Abstract:
    This work presents a novel CCRW receiver that utilizes a window of variable width, for e˙ectively mitigating multipath and ambiguity in both civil and military positioning applica-tions using Global Navigation Satellite Systems (GNSS). This CCRW receiver incorporates a single stroboscopic window, whose width is iteratively reduced until the e˙ect of...
    Resource Type:
    Dissertation

  • Enhancing Resolution and Scalability of Power Grid Reliability Algorithms

    Creator:
    Lassetter, Austin R.
    Abstract:
    This Thesis aims to determine whether we can improve the accuracy, resolution, and speed of calculations for common power system problems using simple computational models that scale well to machine learning and high performance computing solutions. The second chapter of this Thesis implements more precise aging and degradation models for...
    Resource Type:
    Masters Thesis

  • A novel method for zinc oxide nanowire sensor fabrication

    Creator:
    Pelatt, Brian D.
    Abstract:
    Interest in nanomaterials is motivated partly by their potential for sensor arrays to detect different gases. Nanowires in particular are of interest because their high surface-to-volume ratio promises the possibility of high sensitivity. However, because of their discrete quasi-one-dimensional geometry, electrical integration of nanowires into photolithographically defined devices and circuits...
    Resource Type:
    Masters Thesis

  • Multi-antenna OFDM systems in the presence of phase noise and doubly-selective fading

    Creator:
    Zhang, Yu
    Abstract:
    Orthogonal frequency division multiplexing (OFDM), which has been very attractive for future high rate wireless communications, is very robust to channel multipath fading effect while providing high transmission data rate with high spectral efficiency. Multiple antennas can be combined with OFDM to increase diversity gain and to improve spectral efficiency...
    Resource Type:
    Dissertation
    Full Text:
    members of our research group, especially Shiwei Zhao, Liang Xian, and Jie Gao, with whom I worked

  • Space time coding in MIMO systems

    Creator:
    Xian, Liang
    Abstract:
    Multiple-input multiple-output (MIMO) antenna technology is promising for high-speed wireless communications without increasing the transmission band- width. Space time coding (STC) is a scheme that employs multiple antennas to increase transmission rate or to improve transmission quality. STC is used widely in mobile cellular networks, wireless local area networks (WLAN)...
    Resource Type:
    Dissertation
    Full Text:
    thanks to all the members in my lab for their help and friendship. Special thanks to Jie Gao, Orhan C