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Filtering by: Creator Matthews, P. D. Remove constraint Creator: Matthews, P. D. Degree Field Electrical and Computer Engineering Remove constraint Degree Field: Electrical and Computer Engineering Resource Type Dissertation Remove constraint Resource Type: Dissertation

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  • New Techniques for Multi-Channel Biosignal Acquisition and Low-Power, Low-Resistance-Measurement Systems

    Creator:
    Kim, Jinyong
    Abstract:
    Dense electrical recording of biosignals has been developed to provide spatial resolution and precise temporal information for health monitoring, diagnostics, and clinical research. However, more electrodes require more wires, and wiring density quickly becomes a limiting factor. To break this bottleneck, we proposed a frequency-division multiplexing (FDM) based architecture for...
    Resource Type:
    Dissertation
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    Step response 1 1 2 R P N f C D R C 1 2 R Pf C D R C 1 R P D f C R C p p p p p C C C C C

  • Energy Harvesting and Power Management Integrated Circuits for Self-Sustaining Wearables

    Creator:
    Bose, Soumya
    Abstract:
    Harvesting energy from ambient sources can provide power autonomy to energy efficient electronics and sensors. The last decade has seen a multitude of ways to scavenge energy from various sources like solar, thermal, electromagnetic, electrostatic, piezo-electric and many more. Thermal energy from human body heat is ubiquitous and can be...
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    Dissertation
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    is defined as the variation of VOUT with the fluctuation of 10 G a in ( d B ) P h a s e

  • CMOS Transducers and Programmable Interface Circuits for Resource-Efficient Sensing Applications

    Creator:
    Sengupta, Shaan
    Abstract:
    Modern sensors are complex systems comprising multiple sub-systems such as transducers, analog and mixed-signal interface circuits, digital processing circuits, and packaging. Over the last few decades, innovations in these sub-systems combined with their increased integration in complementary metal-oxide semiconductor (CMOS) processes have led to the rapid growth in sensors for...
    Resource Type:
    Dissertation
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    Abstract approved: Matthew L. Johnston Modern sensors are complex systems comprising multiple sub-systems

  • Highly-Integrated Low-Power RF Receivers for Distributed Sensing and IoT Devices

    Creator:
    Bialek, Hayden
    Abstract:
    Low-power receivers (RX) with 100$\mu W$-scale power consumption can enable several power/energy-constrained IoT applications. However, achieving sensitivity, interferer tolerance and wide operating range with low power presents a challenge for existing architectures, particularly those constrained to highly integrated solutions without high-Q off-chip components. Existing solutions rely heavily on high quality...
    Resource Type:
    Dissertation
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    to thank my advisors Prof. Arun Natarajan and Prof. Matthew Johnston. Prof. Johnston has helped

  • New Architectures and Circuits for Pushing the Dynamic Range and Multiplexing Boundaries of CMOS-Integrated Sensors

    Creator:
    Ouh, Hyunkyu
    Abstract:
    Over the last decades, CMOS-integrated sensors have made impressive progress in performance, form-factor, and energy-efficiency for various applications such as imaging, physical/chemical sensing, bio/health monitoring. In the era of the artificial intelligence (AI) and the internet-of-things (IoT), such CMOS-integrated sensors are essential for massive and comprehensive data acquisition, where sensing...
    Resource Type:
    Dissertation
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    . (a) D STI STI NW SUBSTRATE n+ p+ BN Iso PW NW p+ P STI DNW STISTI NW n+p+ Iso PW

  • Imepdance Sensing Techniques for Integrated Circuits Sensor Applications

    Creator:
    Shen, Boyu
    Abstract:
    Impedance measurements are increasingly demanded in modern CMOS sensing systems as impedance is the most common electrical signal obtained from sensors, delivering physical, chemical and biomedical quantity changes. Impedance sensing for wide interested frequency, broad dynamic range, and various sensor interfaces has numerous challenges, especially targeted in CMOS miniaturization with...
    Resource Type:
    Dissertation
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    C u rr e n t S p e c tr a l D e n s it y 3x Figure 2.6: Normalized input-referred noise

  • Autonomous Sensor Systems For Wind Turbine Blade Collision Detection

    Creator:
    Clocker, Kyle
    Abstract:
    Wind turbines serve an increasing proportion of total energy generation, with expanded onshore and offshore installations proceeding worldwide. Continued construction, expansion, and operation of wind energy installations must be managed in conjunction with effects on local and migratory wildlife, specifically bird and bat species that may be affected by wind...
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    Dissertation
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    . Title: Autonomous Sensor Systems For Wind Turbine Blade Collision Detection Abstract approved: Matthew

  • A P-well GaAs MESFET technology

    Creator:
    Canfield, Philip C.
    Abstract:
    The semiconductor gallium arsenide (GaAs) has many potential advantages over the more widely used semiconductor silicon (Si). These include higher low field mobility, semi-insulating substrates, a direct band-gap, and greater radiation hardness. All these advantages offer distinct opportunities for implementation of new circuit functions or extension of the operating conditions...
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    Dissertation
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    by a p-type implant, c) conventional MESFET and an n+ sidegate electrode in a p-type well, d) buried

  • Recombination and generation lifetime characterization of p/p⁺ epitaxial silicon wafers

    Creator:
    Aminzadeh, Mehran G.
    Abstract:
    The refresh times of all dynamic charge storage devices, best characterized by the generation lifetime at roan temperature and the recombination lifetime at higher device operating temperatures (T>70°C), strongly influence the efficient and successful operation of dynamic charge storage devices such as DRAM's and CCD's. Both recombination and generation lifetime...
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    89 D. DEEP LEVEL TRANSIENT SPECTROSCOPY 92 1. Majority carrier MIS of p/pt epitaxial wafers 92 2

  • 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...
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    , COMMUNICATIONS, AND MACHINE LEARNING APPLICATIONS Abstract approved: Thinh P. Nguyen There are five main