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Wireless Sensing by Analog Signal Compression.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Wireless Sensing by Analog Signal Compression./
作者:	Zhao, Xueyuan.
面頁冊數:	1 online resource (157 pages)
附註:	Source: Dissertations Abstracts International, Volume: 83-08, Section: B.
Contained By:	Dissertations Abstracts International83-08B.
標題:	Electrical engineering. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28962929click for full text (PQDT)
ISBN:	9798790631214

Wireless Sensing by Analog Signal Compression.
Zhao, Xueyuan.

Wireless Sensing by Analog Signal Compression. - 1 online resource (157 pages)

Source: Dissertations Abstracts International, Volume: 83-08, Section: B.

Thesis (Ph.D.)--Rutgers The State University of New Jersey, School of Graduate Studies, 2022.

Includes bibliographical references

In this dissertation, the design, computer simulations, experimental evaluations, and theoretical analyses of new wireless sensing schemes were carried out systematically. A novel power-efficient and low-complexity analog sensor design is the foundation of this PhD thesis. This novel analog sensor hardware has signal compression capabilities in the analog domain and was validated by thorough computer simulations and hardware experiments. Moreover, the wireless sensor network prototype with the proposed analog sensor has been developed for practical wireless monitoring scenarios. Based on this experimentally validated prototype, the research progresses to the biosensing system in which the microfluidic and physiological signals are compressed in the analog domain for wireless health monitoring applications. On the other hand, theoretical analyses are investigated to deepen the understanding of signal recovery performance by the analog signal compression. Detailed theoretical derivations were performed, and both simulation and experimental results are presented regarding the key parameter optimizations. In summary, this dissertation is rooted in the idea of low-power analog sensor and is subsequently developed into persistent wireless sensing, biosensing applications, and theoretical investigations.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2023

Mode of access: World Wide Web

ISBN: 9798790631214Subjects--Topical Terms:

649834
Electrical engineering.
Subjects--Index Terms:

Wireless sensingIndex Terms--Genre/Form:

542853
Electronic books.

Wireless Sensing by Analog Signal Compression.
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500 $a Source: Dissertations Abstracts International, Volume: 83-08, Section: B.
500 $a Advisor: Pompili, Dario.
502 $a Thesis (Ph.D.)--Rutgers The State University of New Jersey, School of Graduate Studies, 2022.
504 $a Includes bibliographical references
520 $a In this dissertation, the design, computer simulations, experimental evaluations, and theoretical analyses of new wireless sensing schemes were carried out systematically. A novel power-efficient and low-complexity analog sensor design is the foundation of this PhD thesis. This novel analog sensor hardware has signal compression capabilities in the analog domain and was validated by thorough computer simulations and hardware experiments. Moreover, the wireless sensor network prototype with the proposed analog sensor has been developed for practical wireless monitoring scenarios. Based on this experimentally validated prototype, the research progresses to the biosensing system in which the microfluidic and physiological signals are compressed in the analog domain for wireless health monitoring applications. On the other hand, theoretical analyses are investigated to deepen the understanding of signal recovery performance by the analog signal compression. Detailed theoretical derivations were performed, and both simulation and experimental results are presented regarding the key parameter optimizations. In summary, this dissertation is rooted in the idea of low-power analog sensor and is subsequently developed into persistent wireless sensing, biosensing applications, and theoretical investigations.
533 $a Electronic reproduction. $b Ann Arbor, Mich. : $c ProQuest, $d 2023
538 $a Mode of access: World Wide Web
650 4 $a Electrical engineering. $3 649834
650 4 $a Mass communications. $3 3422380
650 4 $a Computer engineering. $3 621879
653 $a Wireless sensing
653 $a Analog signal compression
653 $a Sensor design
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