Electrical and Computer Engineering ETDs

Author

Woo-Yong Jang

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 Advisor

Hayat, Majeed

Second Advisor

Krishna, Sanjay

First Committee Member (Chair)

Brueck, Steven

Second Committee Member

Prasad, Sudhakar

Third Committee Member

Zarkesh-Ha, Payman

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