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Data Conversion Within Energy Constr...

Kelly, Brandon M.

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Data Conversion Within Energy Constrained Environments.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Data Conversion Within Energy Constrained Environments./
作者:	Kelly, Brandon M.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2017,
面頁冊數:	116 p.
附註:	Source: Dissertations Abstracts International, Volume: 79-04, Section: B.
Contained By:	Dissertations Abstracts International79-04B.
標題:	Computer Engineering. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10616015
ISBN:	9780355154344

Data Conversion Within Energy Constrained Environments.
Kelly, Brandon M.

Data Conversion Within Energy Constrained Environments. - Ann Arbor : ProQuest Dissertations & Theses, 2017 - 116 p.

Source: Dissertations Abstracts International, Volume: 79-04, Section: B.

Thesis (Ph.D.)--West Virginia University, 2017.

This item must not be sold to any third party vendors.

Within scientific research, engineering, and consumer electronics, there is a multitude of new discrete sensor-interfaced devices. Maintaining high accuracy in signal quantization while staying within the strict power-budget of these devices is a very challenging problem. Traditional paths to solving this problem include researching more energy-efficient digital topologies as well as digital scaling. This work offers an alternative path to lower-energy expenditure in the quantization stage - content-dependent sampling of a signal. Instead of sampling at a constant rate, this work explores techniques which allow sampling based upon features of the signal itself through the use of application-dependent analog processing. This work presents an asynchronous sampling paradigm, based off the use of floating-gate-enabled analog circuitry. The basis of this work is developed through the mathematical models necessary for asynchronous sampling, as well the SPICE-compatible models necessary for simulating floating-gate enabled analog circuitry. These base techniques and circuitry are then extended to systems and applications utilizing novel analog-to-digital converter topologies capable of leveraging the non-constant sampling rates for significant sample and power savings.

ISBN: 9780355154344Subjects--Topical Terms:

1567821
Computer Engineering.
Subjects--Index Terms:

Analog to digital conversion

Data Conversion Within Energy Constrained Environments.
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520 $a Within scientific research, engineering, and consumer electronics, there is a multitude of new discrete sensor-interfaced devices. Maintaining high accuracy in signal quantization while staying within the strict power-budget of these devices is a very challenging problem. Traditional paths to solving this problem include researching more energy-efficient digital topologies as well as digital scaling. This work offers an alternative path to lower-energy expenditure in the quantization stage - content-dependent sampling of a signal. Instead of sampling at a constant rate, this work explores techniques which allow sampling based upon features of the signal itself through the use of application-dependent analog processing. This work presents an asynchronous sampling paradigm, based off the use of floating-gate-enabled analog circuitry. The basis of this work is developed through the mathematical models necessary for asynchronous sampling, as well the SPICE-compatible models necessary for simulating floating-gate enabled analog circuitry. These base techniques and circuitry are then extended to systems and applications utilizing novel analog-to-digital converter topologies capable of leveraging the non-constant sampling rates for significant sample and power savings.
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653 $a Reconfigurable analog
653 $a Wearable devices
653 $a Wireless sensor networks
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