MAT201A: Media Signal Processing
The purpose of this course is to provide an overview of the fundamental concepts in digital signal processing, multimedia signal processing, and multimedia representations. The course assignments will consist of regular reading and homework where the student explores the concepts introduced in the lectures through various media (speech, audio, still images, and video) applications. The majority of the course grade will be based upon a final project report, presentation, and demonstration, wherein the student is required to explore one or more of the lecture topics as applied to a particular media or media application of interest to the student. There will be a midterm presentation of the project to date to evaluate progress and content.
Lecture topics include: Introduction to Digital Media Representations and
Applications; Sampling; Magnitude and Phase; Filtering; Difference equations;
Autoregressive and moving average processes; Randomness, noise, the random
walk, pseudonoise sequences; Entropy and Mutual information; Orthogonality,
transforms, and Media Representations; Linear prediction; Spectral
representations; Human auditory perception; Human visual perception; Motion
estimation in video; Wavelets; Steganography, data hiding, and data embedding;
Efficient representations of speech, audio, still images, and video; Storage
and transmission of multimedia information
The goals of the course are:
To take this class you must satisfy the following prerequisites: (1) Graduate standing, or teacher's approval; (2) Experience with trigonometry, complex numbers, and algebra.
Professor Office Hours: TBA
T.A. Office Hours: Tuesdays, 1 - 3 PM, Harold Frank Hall (Eng. I) 4148
The class text will consist of selected readings from the signal processing and multimedia literature.
Class meets four hours per week, 2 - 4 pm, Monday and Wednesday, Phelps 1431.
Homeworks are due the Wednesday the week after assignment.