東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Time reversal acoustics for small ta...

Simko, Peter C.

FindBook

Google Book

Amazon

博客來

Time reversal acoustics for small targets using decomposition of the time reversal operator.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Time reversal acoustics for small targets using decomposition of the time reversal operator./
作者:	Simko, Peter C.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2008,
面頁冊數:	139 p.
附註:	Source: Dissertation Abstracts International, Volume: 70-08, Section: B, page: 5068.
Contained By:	Dissertation Abstracts International70-08B.
標題:	Electrical engineering. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3370883
ISBN:	9781109335200

Time reversal acoustics for small targets using decomposition of the time reversal operator.
Simko, Peter C.

Time reversal acoustics for small targets using decomposition of the time reversal operator. - Ann Arbor : ProQuest Dissertations & Theses, 2008 - 139 p.

Source: Dissertation Abstracts International, Volume: 70-08, Section: B, page: 5068.

Thesis (Ph.D.)--Illinois Institute of Technology, 2008.

The method of time reversal acoustics has been the focus of considerable interest over the last twenty years. Time reversal imaging methods have made consistent progress as effective methods for signal processing since the initial demonstration that physical time reversal methods can be used to form convergent wave fields on a localized target, even under conditions of severe multipathing. Computational time reversal methods rely on the properties of the so-called 'time reversal operator' in order to extract information about the target medium. Applications for which time reversal imaging have previously been explored include medical imaging, non-destructive evaluation, and mine detection. Emphasis in this paper will fall on two topics within the general field of computational time reversal imaging. First, we will examine previous work on developing a time reversal imaging algorithm based on the MUltiple SIgnal Classification (MUSIC) algorithm. MUSIC, though computationally very intensive, has demonstrated early promise in simulations using array-based methods applicable to true volumetric (three-dimensional) imaging. We will provide a simple algorithm through which the rank of the time reversal operator subspaces can be properly quantified so that the rank of the associated null subspace can be accurately estimated near the central pulse wavelength in broadband imaging. Second, we will focus on the scattering from small acoustically rigid two dimensional cylindrical targets of elliptical cross section. Analysis of the time reversal operator eigenmodes has been well-studied for symmetric response matrices associated with symmetric systems of scattering targets. We will expand these previous results to include more general scattering systems leading to asymmetric response matrices, for which the analytical complexity increases but the physical interpretation of the time reversal operator remains unchanged. For asymmetric responses, the qualitative properties of the time reversal operator eigenmodes remain consistent with those obtained from the more tightly constrained systems.

ISBN: 9781109335200Subjects--Topical Terms:

649834
Electrical engineering.

Time reversal acoustics for small targets using decomposition of the time reversal operator.
LDR:03049nmm a2200289 4500 001 2155613
005 20180426091051.5
008 190424s2008 ||||||||||||||||| ||eng d
020 $a 9781109335200
035 $a (MiAaPQ)AAI3370883
035 $a AAI3370883
040 $a MiAaPQ $c MiAaPQ
100 1 $a Simko, Peter C. $3 3343350
245 1 0 $a Time reversal acoustics for small targets using decomposition of the time reversal operator.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2008
300 $a 139 p.
500 $a Source: Dissertation Abstracts International, Volume: 70-08, Section: B, page: 5068.
500 $a Adviser: Jafar Saniie.
502 $a Thesis (Ph.D.)--Illinois Institute of Technology, 2008.
520 $a The method of time reversal acoustics has been the focus of considerable interest over the last twenty years. Time reversal imaging methods have made consistent progress as effective methods for signal processing since the initial demonstration that physical time reversal methods can be used to form convergent wave fields on a localized target, even under conditions of severe multipathing. Computational time reversal methods rely on the properties of the so-called 'time reversal operator' in order to extract information about the target medium. Applications for which time reversal imaging have previously been explored include medical imaging, non-destructive evaluation, and mine detection. Emphasis in this paper will fall on two topics within the general field of computational time reversal imaging. First, we will examine previous work on developing a time reversal imaging algorithm based on the MUltiple SIgnal Classification (MUSIC) algorithm. MUSIC, though computationally very intensive, has demonstrated early promise in simulations using array-based methods applicable to true volumetric (three-dimensional) imaging. We will provide a simple algorithm through which the rank of the time reversal operator subspaces can be properly quantified so that the rank of the associated null subspace can be accurately estimated near the central pulse wavelength in broadband imaging. Second, we will focus on the scattering from small acoustically rigid two dimensional cylindrical targets of elliptical cross section. Analysis of the time reversal operator eigenmodes has been well-studied for symmetric response matrices associated with symmetric systems of scattering targets. We will expand these previous results to include more general scattering systems leading to asymmetric response matrices, for which the analytical complexity increases but the physical interpretation of the time reversal operator remains unchanged. For asymmetric responses, the qualitative properties of the time reversal operator eigenmodes remain consistent with those obtained from the more tightly constrained systems.
590 $a School code: 0091.
650 4 $a Electrical engineering. $3 649834
650 4 $a Acoustics. $3 879105
690 $a 0544
690 $a 0986
710 2 $a Illinois Institute of Technology. $3 1018749
773 0 $t Dissertation Abstracts International $g 70-08B.
790 $a 0091
791 $a Ph.D.
792 $a 2008
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3370883