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Filtering by: Creator Wang, Alan X. Remove constraint Creator: Wang, Alan X. Committee Member Nguyen, Thinh Remove constraint Committee Member: Nguyen, Thinh

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  • Threshold Selection Based on the SNR in Time of Arrival Localization System

    Creator:
    Lyu, Tao
    Abstract:
    Threshold-based time of arrival (TOA) estimation is a technique for high-precision indoor localization. Existing threshold selection methods, such as xed thresh- old and normalized threshold methods, do not consider the signal-to-noise radio (SNR) value at the receiver. This is not desired for high-precision positioning. A proper threshold value depends on...
    Resource Type:
    Masters Thesis
    Full Text:
    , Dr. Thinh Nguyen, Dr. Alan Wang and Dr. Williams H. Warnes, with their timely help I was able to

  • Low-complexity high-speed VLSI design of low-density parity-check decoders

    Creator:
    Cui, Zhiqiang
    Abstract:
    Low-Density Parity-check (LDPC) codes have attracted considerable attention due to their capacity approaching performance over AWGN channel and highly parallelizable decoding schemes. They have been considered in a variety of industry standards for the next generation communication systems. In general, LDPC codes achieve outstanding performance with large codeword lengths (e.g.,...
    Resource Type:
    Dissertation
    Full Text:
    : ______________________________________________________ Zhongfeng Wang Low-Density Parity-check (LDPC) codes have attracted considerable attention

  • Resource allocation methods for quality-of-service provisioning in heterogeneous wireless networks

    Creator:
    Chakchouk, Nessrine
    Abstract:
    The increased use of mobile wireless devices that we have recently been witnessing, such as smartphones, tablets, e-readers, and WiFi enabled devices in general, is driving an unprecedented increase in the amount of data traffic. This fast market adoption of the wireless technology along with the tremendous success of multimedia...
    Resource Type:
    Dissertation
    Full Text:
    Nguyen, Dr. Huaping Liu, Dr. Alan Wang, Dr. Oksana Ostroverkhova, Dr. Ben Lee and Dr. Mario Magana for

  • 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:
    Terri Fiez, Professor Thinh Nguyen, Professor Alan Wang, Professor Yevgeniy Kovchegov, Professor Pavan

  • Adaptive broadband wireless interference mitigation architecture applying higher order statistics algorithm for computer platform

    Creator:
    Wang, Qiwei
    Abstract:
    The broadband wireless interference in a computer platform is resulted by multiple electro-magnetic emission sources. This non-Gaussian interference is proved to be double-sided K-distributed in previous research. With the limitation of transmission power and dimension of the device, interference mitigation is an efficient way to improve received signal bit error...
    Resource Type:
    Masters Thesis
    Full Text:
    OF Qiwei Wang for the degree of Master of Science in Electrical and Computer Engineering

  • 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:
    Microsoft Word - PhD_thesis_Yan Wang

  • 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:
    . Zhongfeng Wang for their great efforts and significant amount of time to serve on my Ph.D. committee. My

  • High efficiency wideband low-power delta-sigma modulators

    Creator:
    Lee, Sang Hyeon
    Abstract:
    Delta-sigma analog-to-digital converters traditionally have been used for low speed, high resolution applications such as measurements, sensors, voice and audio systems. Through continued device scaling in CMOS technology and architectural and circuit level design innovations, they have even become popular for wideband, high dynamic range applications such as wired and...
    Resource Type:
    Dissertation
    Full Text:
    of merit defined by FoM = P/(2 x BW x 2 ENOB ) is 0.27 pJ/conv-step. The measurement results

  • Co-channel Blocker and Self-Interferer Tolerant Receiver Architectures for MIMO and Full-Duplex MIMO Receivers

    Creator:
    Jain, Sanket
    Abstract:
    This research focuses on receiver architectures which enable better spectral eciency by handling blockers in the same spectral range as the signal. The presence of such blockers, without the use of blocker cancelling/ ltering techniques leads to gain compression and hence, consequent performance degradation of receivers leading to reduced spectrum...
    Resource Type:
    Dissertation
    Full Text:
    blocker providing better than 20dB blocker cancellation in the X-band. The second work is aimed at

  • 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:
    include Anh Pham, Evgenia Chunikhina, Zeyu You, Tam Nguyen, Phung Lai, Alan Campbell, Hector Dominguez