Sampling and Signal Estimation in Computational Optical Sensors
Abstract
Computational sensing utilizes non-conventional sampling mechanisms along with processing
algorithms for accomplishing various sensing tasks. It provides additional flexibility
in designing imaging or spectroscopic systems. This dissertation analyzes sampling
and signal estimation techniques through three computational sensing systems to accomplish
specific tasks. The first is thin long-wave infrared imaging systems through multichannel
sampling. Significant reduction in optical system thickness is obtained over a conventional
system by modifying conventional sampling mechanisms and applying reconstruction algorithms.
In addition, an information theoretic analysis of sampling in conventional as well
as multichannel imaging systems is also performed. The feasibility of performing multichannel
sampling for imaging is demonstrated using an information theoretic metric. The second
system is an application of the multichannel system for the design of compressive
low-power video sensors. Two sampling schemes have been demonstrated that utilize
spatial as well as temporal aliasing. The third system is a novel computational spectroscopic
system for detecting chemicals that utilizes the surface plasmon resonances to encode
information about the chemicals that are tested.
Type
DissertationDepartment
Electrical and Computer EngineeringSubject
Engineering, System ScienceEngineering, Electronics and Electrical
computational sensing
computational imaging
compression
Permalink
https://hdl.handle.net/10161/445Citation
Shankar, Mohan (2007). Sampling and Signal Estimation in Computational Optical Sensors. Dissertation, Duke University. Retrieved from https://hdl.handle.net/10161/445.Collections
More Info
Show full item record
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 3.0 United States License.
Rights for Collection: Duke Dissertations
Works are deposited here by their authors, and represent their research and opinions, not that of Duke University. Some materials and descriptions may include offensive content. More info