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Acoustic Source Separation, Contour Classification, and Trajectory Optimization.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Acoustic Source Separation, Contour Classification, and Trajectory Optimization./
作者:	Tolkova, Irina.
面頁冊數:	1 online resource (175 pages)
附註:	Source: Dissertations Abstracts International, Volume: 84-12, Section: B.
Contained By:	Dissertations Abstracts International84-12B.
標題:	Applied mathematics. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=30484572click for full text (PQDT)
ISBN:	9798379614492

Acoustic Source Separation, Contour Classification, and Trajectory Optimization.
Tolkova, Irina.

Acoustic Source Separation, Contour Classification, and Trajectory Optimization. - 1 online resource (175 pages)

Source: Dissertations Abstracts International, Volume: 84-12, Section: B.

Thesis (Ph.D.)--Harvard University, 2023.

Includes bibliographical references

How can we distinguish individual birds singing in a dawn chorus, and thereby improve measurements of biodiversity to aid conservation efforts? What are the key differences between the walking patterns of an unimpaired individual and a stroke survivor, and how can this inform physical rehabilitation? What is an optimal way to navigate a quadcopter through a complicated environment? This thesis aims to address these questions, and a few others, by linking techniques from optimization, signal processing, and geometry with problems in bioacoustics, biomechanics, and robotics. While the applications are highly interdisciplinary, the methodologies share some fundamental similarities -- all are grounded in physical principles and designed for robust application to real-world datasets. First, in Part 2, we address challenges encountered in acoustic monitoring of wildlife, and develop techniques for separating simultaneous sound sources and finding lower-dimensional structure in birdsong. In Part 3, we draw on geometric principles to study the characteristics of gait kinematics and the mechanisms behind visual perception. Lastly, in Part 4, we design and evaluate algorithms for trajectory optimization of constrained dynamical systems. Overall, we hope this work can be a contribution to both theoretical frontiers and applied sciences.

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

Mode of access: World Wide Web

ISBN: 9798379614492Subjects--Topical Terms:

2122814
Applied mathematics.
Subjects--Index Terms:

BioacousticsIndex Terms--Genre/Form:

542853
Electronic books.

Acoustic Source Separation, Contour Classification, and Trajectory Optimization.
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504 $a Includes bibliographical references
520 $a How can we distinguish individual birds singing in a dawn chorus, and thereby improve measurements of biodiversity to aid conservation efforts? What are the key differences between the walking patterns of an unimpaired individual and a stroke survivor, and how can this inform physical rehabilitation? What is an optimal way to navigate a quadcopter through a complicated environment? This thesis aims to address these questions, and a few others, by linking techniques from optimization, signal processing, and geometry with problems in bioacoustics, biomechanics, and robotics. While the applications are highly interdisciplinary, the methodologies share some fundamental similarities -- all are grounded in physical principles and designed for robust application to real-world datasets. First, in Part 2, we address challenges encountered in acoustic monitoring of wildlife, and develop techniques for separating simultaneous sound sources and finding lower-dimensional structure in birdsong. In Part 3, we draw on geometric principles to study the characteristics of gait kinematics and the mechanisms behind visual perception. Lastly, in Part 4, we design and evaluate algorithms for trajectory optimization of constrained dynamical systems. Overall, we hope this work can be a contribution to both theoretical frontiers and applied sciences.
533 $a Electronic reproduction. $b Ann Arbor, Mich. : $c ProQuest, $d 2023
538 $a Mode of access: World Wide Web
650 4 $a Applied mathematics. $3 2122814
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