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David M. Binkley

Researcher at University of North Carolina at Charlotte

Publications -  50
Citations -  2046

David M. Binkley is an academic researcher from University of North Carolina at Charlotte. The author has contributed to research in topics: CMOS & Flicker noise. The author has an hindex of 21, co-authored 50 publications receiving 1978 citations. Previous affiliations of David M. Binkley include North Carolina State University & University of California, Los Angeles.

Papers
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Journal ArticleDOI

MicroPET: a high resolution PET scanner for imaging small animals

TL;DR: MicroPET as discussed by the authors is the first PET scanner to incorporate the new scintillator LSO and to our knowledge is the highest resolution multi-ring PET scanner currently in existence, which consists of a ring of 30 position sensitive scintillation detectors, each with an 8/spl times/8 array of small lutetium oxyorthosilicate (LSO) crystals coupled via optical fibers to a multi-channel photomultiplier tube.
Book

Tradeoffs and Optimization in Analog CMOS Design

TL;DR: In this paper, the authors present hand expressions motivated by the EKV MOS model and measured data for MOS device performance, including velocity saturation and other small-geometry effects.
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A 100-ps time-resolution CMOS time-to-digital converter for positron emission tomography imaging applications

TL;DR: The design is believed to be the first fully integrated CMOS subnanosecond time-to-digital TDC used in PET medical imaging and the first realization of a CMOS TDC that achieves an rms timing resolution below 100 ps within a 100-ns conversion time.
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A CAD methodology for optimizing transistor current and sizing in analog CMOS design

TL;DR: A computer-aided design methodology for optimizing MOS transistor current and sizing is presented where drain current ID, inversion level (represented by inversion coefficient IC), and channel length L are selected as three independent degrees of design freedom resulting in an optimized selection of channel width for layout.
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A miniaturized neuroprosthesis suitable for implantation into the brain

TL;DR: This research, if successful, will allow implantation of the electronics into the brain, or subcutaneously on the skull, and eliminate all external signal and power wiring.