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Analog Signal Buffering and Reconstr...

Kelly, Brandon M.

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Analog Signal Buffering and Reconstruction.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Analog Signal Buffering and Reconstruction./
Author:	Kelly, Brandon M.
Description:	70 p.
Notes:	Source: Masters Abstracts International, Volume: 52-03.
Contained By:	Masters Abstracts International52-03(E).
Subject:	Engineering, Electronics and Electrical. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1524608
ISBN:	9781303558030

Analog Signal Buffering and Reconstruction.
Kelly, Brandon M.

Analog Signal Buffering and Reconstruction. - 70 p.

Source: Masters Abstracts International, Volume: 52-03.

Thesis (M.S.)--West Virginia University, 2013.

Wireless sensor networks (WSNs) are capable of a myriad of tasks, from monitoring critical infrastructure such as bridges to monitoring a person's vital signs in biomedical applications. However, their deployment is impractical for many applications due to their limited power budget. Sleep states are one method used to conserve power in resource-constrained systems, but they necessitate a wake-up circuit for detecting unpredictable events. In conventional wake-up-based systems, all information preceding a wake-up event will be forfeited. To avoid this data loss, it is necessary to include a buffer that can record prelude information without sacrificing the power savings garnered by the active use of sleep states.

ISBN: 9781303558030Subjects--Topical Terms:

626636
Engineering, Electronics and Electrical.

Analog Signal Buffering and Reconstruction.
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020 $a 9781303558030
035 $a (MiAaPQ)AAI1524608
035 $a AAI1524608
040 $a MiAaPQ $c MiAaPQ
100 1 $a Kelly, Brandon M. $3 2094850
245 1 0 $a Analog Signal Buffering and Reconstruction.
300 $a 70 p.
500 $a Source: Masters Abstracts International, Volume: 52-03.
500 $a Adviser: David W. Graham.
502 $a Thesis (M.S.)--West Virginia University, 2013.
520 $a Wireless sensor networks (WSNs) are capable of a myriad of tasks, from monitoring critical infrastructure such as bridges to monitoring a person's vital signs in biomedical applications. However, their deployment is impractical for many applications due to their limited power budget. Sleep states are one method used to conserve power in resource-constrained systems, but they necessitate a wake-up circuit for detecting unpredictable events. In conventional wake-up-based systems, all information preceding a wake-up event will be forfeited. To avoid this data loss, it is necessary to include a buffer that can record prelude information without sacrificing the power savings garnered by the active use of sleep states.
520 $a Unfortunately, traditional memory buffer systems utilize digital electronics which are costly in terms of power. Instead of operating in the target signal's native analog environment, a digital buffer must first expend a great deal of energy to convert the signal into a digital signal. This issue is further compounded by the use of traditional Nyquist sampling which does not adapt to the characteristics of a dynamically changing signal. These characteristics reveal why a digital buffer is not an appropriate choice for a WSN or other resource-constrained system.
520 $a This thesis documents the development of an analog pre-processing block that buffers an incoming signal using a new method of sampling. This method requires sampling only local maxima and minima (both amplitude and time), effectively approximating the instantaneous Nyquist rate throughout a time-varying signal. The use of this sampling method along with ultra-low-power analog electronics enables the entire system to operate in the muW power levels. In addition to these power saving techniques, a reconfigurable architecture will be explored as infrastructure for this system. This reconfigurable architecture will also be leveraged to explore wake-up circuits that can be used in parallel with the buffer system.
590 $a School code: 0256.
650 4 $a Engineering, Electronics and Electrical. $3 626636
690 $a 0544
710 2 $a West Virginia University. $3 1017532
773 0 $t Masters Abstracts International $g 52-03(E).
790 $a 0256
791 $a M.S.
792 $a 2013
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1524608