- FACULTY and STAFF
- APPLY NOW
- GIVE TODAY
Graduate Course Information
ECE 634 - Computational sensing: Spectroscopy
Course Website: www.ece.arizona.edu/~gehm/634
UA Catalog Description: http://catalog.arizona.edu/allcats.html
Homework: 4 assignments
Project: 1 team project
Typically: 35% Homework,
30% Class participation and case studies
Recent years have seen the growth of computational sensing—sensor system design that assumes full integration of computational processing into sensor operation. The result is sensor system with capabilities that are not possible with traditional methods. This course looks at this design mindset as it is applied to the sensing modality of spectroscopy.
Optical spectroscopy (spectroscopy utilizing wavelengths from UV through IR), is an important sensing modality for chemical/material detection and identification because the relevant wavelengths are those that directly interact with the electronic and molecular structure of matter—thereby providing important information about the constituents of a sample. There has been tremendous growth in this area, particularly for medical and security applications. Unfortunately, the nature of spectroscopic signatures (manifestly non-negative, strength variations of many orders of magnitude, etc.) make the problem of extracting information from the measured spectrum especially challenging, and requires a highly-integrated approach.
This course is designed to provide exactly such an integrated view of the topic at the advanced graduate level. The first half of the course covers spectroscopic fundamentals and traditional spectrometer designs, while the second half looks at how signal processing/communication concepts (eg. channel coding) can be integrated into the design process to produce computational spectrometers as well as how specific detection/estimation techniques can be incorporated into the system design or used post-measurement to extract information from the spectra.
1. Fundamentals of E&M / Optics review
2. Electronics structure of matter
3. Light-matter interaction
4. Types of optical spectroscopy
5. Traditional spectroscopic designs
6. Computational sensing principles
7. Design of computational spectrometers
8. Spectroscopic detection and estimation techniques
Lecture: 150 minutes/week