ASU Electronic Theses and Dissertations
This collection includes most of the ASU Theses and Dissertations from 2011 to present. ASU Theses and Dissertations are available in downloadable PDF format; however, a small percentage of items are under embargo. Information about the dissertations/theses includes degree information, committee members, an abstract, supporting data or media.
In addition to the electronic theses found in the ASU Digital Repository, ASU Theses and Dissertations can be found in the ASU Library Catalog.
Dissertations and Theses granted by Arizona State University are archived and made available through a joint effort of the ASU Graduate College and the ASU Libraries. For more information or questions about this collection contact or visit the Digital Repository ETD Library Guide or contact the ASU Graduate College at gradformat@asu.edu.
- Li, Baoxin
- 2 Arizona State University
- 2 Turaga, Pavan
- 1 Chakrabarti, Chaitali
- 1 Kulkarni, Kuldeep Sharad
- 1 LiKamWa, Robert
- 1 Lohit, Suhas Anand
- more
- 1 Sankaranarayanan, Aswin
- 1 Spanias, Andreas
- 2 English
- 2 Public
- Compressive Sensing
- 2 Electrical engineering
- 1 Action Recognition
- 1 Cameras
- 1 Computer VIsion
- 1 Computer Vision
- 1 Computer engineering
- more
- 1 Machine Learning
- 1 Object Tracking
- 1 Spatial-Multiplexers
- Dwarf Galaxies as Laboratories of Protogalaxy Physics: Canonical Star Formation Laws at Low Metallicity
- Evolutionary Genetics of CORL Proteins
- Social Skills and Executive Functioning in Children with PCDH-19
- Deep Domain Fusion for Adaptive Image Classification
- Software Defined Pulse-Doppler Radar for Over-The-Air Applications: The Joint Radar-Communications Experiment
In UAVs and parking lots, it is typical to first collect an enormous number of pixels using conventional imagers. This is followed by employment of expensive methods to compress by throwing away redundant data. Subsequently, the compressed data is transmitted to a ground station. The past decade has seen the emergence of novel imagers called spatial-multiplexing cameras, which offer compression at the sensing level itself by providing an arbitrary linear measurements of the scene instead of pixel-based sampling. In this dissertation, I discuss various approaches for effective information extraction from spatial-multiplexing measurements and present the trade-offs between reliability of the …
- Contributors
- Kulkarni, Kuldeep Sharad, Turaga, Pavan, Li, Baoxin, et al.
- Created Date
- 2017
As a promising solution to the problem of acquiring and storing large amounts of image and video data, spatial-multiplexing camera architectures have received lot of attention in the recent past. Such architectures have the attractive feature of combining a two-step process of acquisition and compression of pixel measurements in a conventional camera, into a single step. A popular variant is the single-pixel camera that obtains measurements of the scene using a pseudo-random measurement matrix. Advances in compressive sensing (CS) theory in the past decade have supplied the tools that, in theory, allow near-perfect reconstruction of an image from these measurements …
- Contributors
- Lohit, Suhas Anand, Turaga, Pavan, Spanias, Andreas, et al.
- Created Date
- 2015