Dr. Steven Kay, Instructor
Spectral Estimation is at the heart of almost all modern-day signal processing systems. Current systems typically employ the FFT, which is inherently limited in resolution by the data record length. With the advent of high speed digital computing it is now possible to implement in practice more modern approaches to spectral estimation. This three-day program describes all the important techniques of spectral estimation including linear prediction, AR, Maximum Entropy, ARMA, MLM, and eigen-analysis methods. These approaches will be compared with classical Fourier methods and their potential for application to practical systems will be discussed. A paramount goal will be to develop a critical understanding of the advantages and limitations of each method. Participants will gain first-hand experience by examining numerous computer examples for known and mystery data sets using the Modern Interactive Spectral Analysis software.
Each participant will receive a copy of the text "Modern Spectral Estimation: Theory and Application" by Steven Kay (Prentice-Hall, 1988), which includes FORTRAN subroutines for all the basic methods, suggested problems and solutions. They will also receive extensive handouts, copies of all lecture slides, a copy of the menu-driven PC software package, Modern Interactive Spectral Analysis (MISA), and an instructional laboratory notebook. Attendees are encouraged to bring their own laptop PCs to perform the lab experiments or to analyze their own data sets.
Instructor
Dr. Steven Kay is a Professor of Electrical Engineering at the University of Rhode Island and the President of Signal Processing Systems, Middletown, Rhode Island. He is the author of the course textbook as well as "Fundamentals of Statistical Signal Processing" (Prentice-Hall, 1993).
What You Will Learn
Tuition
Tuition for this three-day course is $1290 per person at one of our scheduled public courses. Onsite pricing is available. Please call us at 410-956-8805 or send an email to ati@ATIcourses.com.