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Analog Signal Buffering and Reconstr...
~
Kelly, Brandon M.
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Analog Signal Buffering and Reconstruction.
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Analog Signal Buffering and Reconstruction./
作者:
Kelly, Brandon M.
面頁冊數:
70 p.
附註:
Source: Masters Abstracts International, Volume: 52-03.
Contained By:
Masters Abstracts International52-03(E).
標題:
Engineering, Electronics and Electrical. -
電子資源:
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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Source: Masters Abstracts International, Volume: 52-03.
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Adviser: David W. Graham.
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Thesis (M.S.)--West Virginia University, 2013.
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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
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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
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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.
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