Theses most similar to Bio-inspired collective analog computation (Woo, Sung Si; 2012) read it

Low-power digital processor for wireless sensor networks

Lohmeyer, Daniel Frederick, 1975- (2005)

  • Advisor: Anantha P. Chandrakasan
  • Department of Electrical Engineering and Computer Science
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A time-based energy-efficient analog-to-digital converter

Yang, Heemin Yi, 1976- (2006)

  • Advisor: Rahul Sarpeshkar
  • Department of Electrical Engineering and Computer Science
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Time-based circuits for communication systems in advanced CMOS technology

Park, Mi (2009)

  • Advisor: Perrott, Michael H. (Michael Henderson)
  • Department of Electrical Engineering and Computer Science
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Low-voltage embedded biomedical processor design

Kwong, Joyce Y. S. (Joyce Yui Si) (2010)

  • Advisor: Anantha P. Chandrakasan
  • Department of Electrical Engineering and Computer Science
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High performance zero-crossing based pipelined analog-to-digtal converters

Chu, Yue Jack (2011)

  • Advisor: Hae-Seung Lee
  • Department of Electrical Engineering and Computer Science
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A low power, reconfigurable fabric body area network for healthcare applications

Desai, Nachiket Venkappayya (2012)

  • Advisor: Anantha P. Chandrakasan
  • Department of Electrical Engineering and Computer Science
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A long term wearable electrocardiogram (ECG) measurement system

Delano, Margaret K (2012)

  • Advisor: Charles G. Sodini
  • Department of Electrical Engineering and Computer Science
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Low power data acquisition for microImplant biometric monitoring of tremors

Khanna, Tania (2012)

  • Advisor: Joel Dawson
  • Department of Electrical Engineering and Computer Science
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Low-power high-performance SAR ADC with redundancy and digital background calibration

Chang, Albert Hsu Ting (2013)

  • Advisors: Donald S. Boning Duane S. Boning; Hae-Seung Lee
  • Department of Electrical Engineering and Computer Science
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Reverse-engineering RLC networks with in-circuit measurement

Gordonson, Joshua Michael (2015)

  • Advisor: Sussman, Gerald Jay
  • Department of Electrical Engineering and Computer Science
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