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Filtering by: Creator Starr, Richard M. Remove constraint Creator: Starr, Richard M. Committee Member Kim, Jinsub Remove constraint Committee Member: Kim, Jinsub Degree Field Electrical and Computer Engineering Remove constraint Degree Field: Electrical and Computer Engineering

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  • Compressive Sensing for Low Power Sensor Design

    Creator:
    Behravan, Vahid
    Abstract:
    Recent sensor System-on-Chips (SoC) have enabled significant advances in energy-efficiency by incorporating various micro-powered building blocks. Unfortunately, most of these sensor systems do not address the high power cost associated with data storage and transmission, which in some cases vastly exceeds the power consumed by the rest of the SoC....
    Resource Type:
    Dissertation
    Full Text:
    options for choosing M

  • Indoor Localization Using Direction of Arrival Approach

    Creator:
    Zhang, Tingwei
    Abstract:
    In this paper, a Direction of Arrival (DOA) based system is proposed. This method searches the direction relative to the array to find where the signal source is located. The proposed system can achieve sub-meter level accuracy with a near real-time update rate. Also, we introduced several refinement methods including...
    Resource Type:
    Masters Thesis
    Full Text:
    Technique, which was introduced by Richard Roy and Thomas Kailath in 1989 [43]. It is another method based

  • Position estimation in indoor localization with trilateration

    Creator:
    Su, Zhenqiang
    Abstract:
    Triangulateration uses geometric distance to estimate the location of user by employing techniques like received signal strength (RSS), time-of-arrival (TOA), time-difference-of-arrival (TDOA) and image processing. Radio frequency (RF) signal positioning using TOA or TDOA techniques generally requires timing synchronization of the anchors and/or the anchors and targets. If the desired...
    Resource Type:
    Dissertation

  • 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:
    minimum impurity partitions is an NP-hard problem. Let M be the number of N -dimensional elements in a

  • Channel Estimation in TDD MU-MIMO Systems using Sub-Linear Sparse Signal Recovery Algorithms

    Creator:
    Barry, David G.
    Abstract:
    Massive Multiple-User Miltiple-Input Multiple-Output (MU-MIMO) wireless communication systems incorporate promising advanced strong technologies for upcoming 5G communications. To obtain some of the high spectrum and energy e ciencies bonuses brought by MU-MIMO systems, the ability to obtain Channel State information, especially on the receiver side (CSI), is important. To minimize...
    Resource Type:
    Masters Thesis
    Full Text:
    control A to manipulate and recover X in a below-linear time space, with M < N . A simple solution to

  • Weak-supervision Time-series Analysis

    Creator:
    You, Zeyu
    Abstract:
    Efficient time-series analysis can impact multiple application domains such as motif discovery in gene analysis or music data, extracting spectro-temporal patterns in acoustic scene analysis, or annotating and classifying electrical bio-signals (such as ECG, EEG, and EMG) for medical applications. Time-series analysis involves a variety of tasks. To predict future...
    Resource Type:
    Dissertation
    Full Text:
    MLR to M-NN are extracted from Table 4 in [94]. . . . . . . . . . . . . . . . . . . . . . . . . 98

  • The Partitioning Technique of Power System to Improve the Observability of Sub-System for Multi-area State Estimation

    Creator:
    Lyu, Tao
    Abstract:
    An accurate state estimation plays an essential role in power system operation and planning in energy management systems. However, existing multi-area state estimation researches have not focused on the importance of system clustering. The clustering mechanism divides or partitions a system according to user-defined criteria. Few published research works have...
    Resource Type:
    Dissertation
    Full Text:
    represents the connectivity of a network. The adjacency matrix A is a n×m matrix whose elements take on