Electrical and Computer Engineering ETDs
Publication Date
1-31-2013
Abstract
This dissertation contains three major parts: (1) demonstration of the algorithmic spectrometry in the mid-IR sensing regime using spectrally tunable quantum dots-in-a-well (DWELL) IR detector without employing any spectral filters; (2) further demonstration of the spectral-classification capability of tunable DWELL IR focal-plane array (FPA), again without using any spectral filters; and (3) development of a generalized filter-free data-compressive spectral sensing paradigm using the DWELL detector that enables arbitrarily specified MS sensing (e.g., spectral matched filtering, slope sensing, multicolor sensing, etc.) without using any spectral filters and possibly under constrained acquisition times.
Keywords
Infrared detectors., Quantum wells., Quantum dots., Data compression (Computer science)
Sponsors
The National Consortium for MASINT Research Partnership Project led by Defense Intelligence Agency and the National Science Foundation
Document Type
Dissertation
Language
English
Degree Name
Computer Engineering
Level of Degree
Doctoral
Department Name
Electrical and Computer Engineering
First Committee Member (Chair)
Brueck, Steven
Second Committee Member
Prasad, Sudhakar
Third Committee Member
Zarkesh-Ha, Payman
Recommended Citation
Jang, Woo-Yong. "Data compressive paradigm for spectral sensing and classification using electrically tunable detectors." (2013). https://digitalrepository.unm.edu/ece_etds/124
