EE666: Data Communication
Spring 2003

Class Handouts

Lecture Video and Pad Note Archieves

Course Description:

This is an advanced topics class aimed at familiarizing students with the theory and application of advanced receiver processing algorithms. The focus will be on signaling formats with memory, systems with time-varying random distortion, and systems with like-signal interference. The topics to be covered include:
 

• Algorithms

• Viterbi Algorithm for MLSD
• Linear and Decision Feedback solutions
• Forward-backward algorithm standard iterative detection (message passing, belief propagation, turbo-processing, etc.)
• Adaptive MLSD and adaptive iterative detection

• Applications

• Intersymbol Interference (ISI) channels
• Multiuser detection
• Turbo Codes and general Code Networks
• Fading Channels
• Trellis Codes
• Multidimensional Systems

• Time/Location: Monday, Wednesday, 12:30-1:50, OHE 100, studio B


• Instructor: Keith M. Chugg
• Office: EEB 502
• Phone: (213) 740-7294
• Fax: (213) 740-8729
• e-mail: chugg@usc.edu

• Prerequisites:
• Digital Communication Theory; (EE 564 or equivalent) and programming
• Recommended: some familiarity with coding and adaptive signal processing skills
• Required Text: K.M. Chugg, A. Anastasopoulos, X. Chen, Iterative Detection: Adaptivity, Complexity Reduction, and Applications Kluwer Academic Press, 2001.
  

• Grading Policy: Monday, Wednesday, 9:30-10:45, OHE 100
• Homework: 20 % (no late HW will be accepted)
• Midterm (take home): 40%
• Final (Project): 20%
• Academic Integrity: Any violations of the University Student Conduct Code will be referred to the Office of Student Conduct.