Now showing items 1-14 of 14

    • Adaptive Analog VLSI Signal Processing and Neural Networks 

      Dugger, Jeffery Don (Georgia Institute of Technology, 2003-11-26)
      Research presented in this thesis provides a substantial leap from the study of interesting device physics to fully adaptive analog networks and lays a solid foundation for future development of large-scale, compact, ...
    • Design methodology for low power 3D-integrated image sensing system for network based applications 

      Lie, Denny (Georgia Institute of Technology, 2015-01-30)
      This dissertation investigates a methodology that can be used to design and optimize an energy efficient 3D-integrated image sensing and compression system for network based applications. A system level model that evaluates ...
    • Design methodology for thermal management using embedded thermoelectric devices 

      Alexandrov, Borislav P. (Georgia Institute of Technology, 2015-08-20)
      The main objectives of this dissertation is to investigate the prospects of embedded thermoelectric devices integrated in a chip package and to develop a design methodology aimed at taking advantage of the on-chip on-demand ...
    • Design methodology to characterize and compensate for process and temperature variation in digital systems 

      Cho, Minki (Georgia Institute of Technology, 2012-09-18)
      The main objective of this dissertation is to investigate a design methodology that can characterize and compensate for process and temperature variation. First, a design methodology is discussed to handle process variation ...
    • Designing low power SRAM system using energy compression 

      Nair, Prashant (Georgia Institute of Technology, 2013-04-10)
      The power consumption in commercial processors and application specific integrated circuits increases with decreasing technology nodes. Power saving techniques have become a first class design point for current and future ...
    • An Electronic System for Extracellular Neural Stimulation and Recording 

      Blum, Richard Alan (Georgia Institute of Technology, 2007-07-06)
      A system for extracellular neural interfacing that had the capability for stimulation and recording at multiple electrodes was presented. As the core of this system was a custom integrated circuit (IC) that contained ...
    • Lattice reduction for MIMO detection: from theoretical analysis to hardware realization 

      Gestner, Brian Joseph (Georgia Institute of Technology, 2011-04-04)
      The objective of the dissertation research is to understand the complex interaction between the algorithm and hardware aspects of symbol detection that is enhanced by lattice reduction (LR) preprocessing for wireless ...
    • Low Static Power and High Throughput Wave-Pipelined Global Interconnect Circuits 

      Youngblood, Mark William (Georgia Institute of Technology, 2007-12-17)
      This research project will explore a low-power, high-throughput design using high threshold voltage transistors in combination with wave-pipelining techniques across global interconnect circuits.
    • Microarchitecture-Aware Physical Planning for Deep Submicron Technology 

      Ekpanyapong, Mongkol (Georgia Institute of Technology, 2006-03-17)
      The main objective of this thesis is to develop a new design paradigm that combines microarchitecture design and circuit design with physical design for deep submicron technology. For deep submicron technology, wire delay ...
    • Modeling alternation to synchrony with inhibitory coupling: A neuromorphic VLSI approach 

      Cymbalyuk, Gennady S.; Patel, Girish N.; Calabrese, Ronald L.; DeWeerth, Stephen P.; Cohen, Avis H. (Georgia Institute of TechnologyMIT Press, 2000)
      We developed an analog very large-scale integrated system of two mutually inhibitory silicon neurons that display several different stable oscillations. For example, oscillations can be synchronous with weak inhibitory ...
    • Power Distribution in Gigascale Integration (GSI) 

      Shakeri, Kaveh (Georgia Institute of Technology, 2005-01-26)
      The main objective of this thesis is to develop models for the power distribution network of high performance gigascale chips. The two main concerns in distributing power in a chip are voltage drop and electromigration-induced ...
    • Sleepy Stack: a New Approach to Low Power VLSI and Memory 

      Park, Jun Cheol (Georgia Institute of Technology, 2005-07-19)
      New low power solutions for Very Large Scale Integration (VLSI) are proposed. Especially, we focus on leakage power reduction. Although neglected at 0.18u technology and above, leakage power is nearly equal to dynamic power ...
    • Using a hybrid neural system to reveal regulation of neuronal network activity by an intrinsic current 

      Sorensen, Michael; DeWeerth, Stephen P.; Cymbalyuk, Gennady; Calabrese, Ronald L. (Georgia Institute of TechnologySociety for Neuroscience, 2004-06)
      The generation of rhythmic patterns by neuronal networks is a complex phenomenon, relying on the interaction of numerous intrinsic and synaptic currents, as well as modulatory agents. To investigate the functional contribution ...
    • A Wireless Neural Recording SoC and Implantable Microsystem Integration 

      Duan, Lian; Wang, Tao; Wang, Siwei; Yazdanbakhsh, Amir (Georgia Institute of Technology, 2015)
      An integrated 4-channel wireless neural recording system architecture is proposed. The system was designed to detect extracellular activity potential in the brain. Highly power-efficient front-end signal processing, ...