Time Schedule:
Les Eugene Atlas
E E 519
Seattle Campus
Computer systems for acquisition and processing of stochastic signals. Calculation of typical descriptors of such random processes as correlation functions, spectral densities, probability densities. Interpretation of statistical measurements made on a variety of physical systems (e.g., electrical, mechanical, acoustic, nuclear). Lecture plus laboratory. Prerequisite: E E 505 or equivalent.
Class description
Course Description: This is a lab and project oriented course with an emphasis on the advanced theory and application of digital signal processing to real-world signals. It is the advanced digital signal processing class that follows EE 518, Digital Signal Processing I. EE 519 will introduce more advanced concepts like linear prediction (used for voice coding in all modern digital telephony systems), cepstral analysis (the standard representation for most modern speech recognition systems), short-time Fourier transform and related filterbank analysis/synthesis systems (used in MP3 and more modern audio coding systems), optimal and adaptive filtering, Kalman filtering and its modern extensions, and new techniques recently developed by the instructor and his students, called “modulation spectra and filtering.” While example applications will focus on speech, audio coding, acoustics, and music, the concepts presented potentially generalize to higher dimensional systems and applications such as video, robotics, and genome sciences.
Student learning goals
General method of instruction
Lectures, with questions encouraged, and homework discussion.
Recommended preparation
Prerequisites: EE505 and EE518.
Class assignments and grading
Homework and MATLAB computer problems, along with a group-oriented final project, with presentation and write-up.
Homework, Midterm Exam, and Final Project
