This is supplemental course information, designed to give you a fuller picture of the course and an expanded look at the topics covered. This is an unofficial document. The USC Course Catalog is the binding description of all university courses. Information such as books, materials covered, and the order of topics is subject to change. Please consult instructor for this semseter to get more upto date course information. Statistical methods in optical information processing. Interferometry, propagation, imaging with partially coherent light; statistics of randomly inhomogeneous media, photon counting, holography, photographic and optical detectors. Prerequisite: EE 566; corequisite: EE 562a. 1. (Required) Joseph W. Goodman, Statistical Optics (Wiley, 2000)
2. (Supplemental) B. E. A. Saleh and M. C. Teich, Fundamentals of Photonics (Wiley, 1991) Alexander A. Sawchuk, Professor of Electrical Engineering 1. Spatial and temporal coherence; partial coherence.
2. Propagation and diffraction of partially coherent light
3. Statistics of light emitted by laser and incoherent sources.
4. Fundamental limits in photoelectric detection.
5. Effects of partial coherence on imaging systems
6. Interferometry and speckle.
7. Imaging through randomly inhomogeneous media such as the atmosphere. To provide the student with mathematical techniques for characterizing optical systems and phenomena in which statistics play a dominant role, and the ability to apply these techniques to various problem domains including imaging, interferometry, atmospheric propagation, illumination by various source types, and detection. The student will be able to:
1. Define and understand spatial and temporal coherence.
2. Understand fundamental systems for measurement of degrees of optical coherence. 3. Characterize statistical properties of light emitted by incoherent (thermal) and coherent (laser) sources.
4. Characterize partial coherence mathematically, including the limiting cases of full coherence and full incoherence.
5. Propagate mutual coherence functions.
6. Model fundamental limits in the detection of light.
7. Characterize statistical properties of laser speckle (e.g., intensity and phase)
8. Model effects of randomly inhomogeneous media such as the atmosphere on imaging systems.
9. Apply concepts of probability theory and random processes to optical phenomena and systems.

 

 

Prepared by: B. Keith Jenkins, Professor of Electrical Engineering         Date: November 9, 2004