DIGITAL COMMUNICATIONS
Learning outcomes of the course unit
To describe the theoretical foundation of the modern digital communication systems and the elements necessary to ther design.
Prerequisites
Detection and estimation theory
Course contents summary
Modern digital communication systems
Course contents
Transmission systems with memory--General model of modulated signals. Sequence detection. Error probability evaluation for receivers based on sequence detection. Continuous phase modulations. Trellis-coded modulations. Reduced-state sequence detection. Linear and decision-feedback equalization.
Advanced topics--Sequence detection in the presence of unknown parameters. Per-survivor processing. Turbo codes and iterative decoding. Factor graphs and the sum-product algorithm. Low-density parity-check codes. BIt-interleaved coded modulation. Space-time codes.
Recommended readings
G. Colavolpe, R. Raheli, Lezioni di Trasmissione numerica, Monte Università Parma editore, 2004.
S. Benedetto, E. Biglieri, Principles of digital communications, with wireless applications, Kluwer, 1999.
J. G. Proakis, Digital communications, McGraw-Hill, 4th ed., 2001.
Teaching methods
Oral Lesson
Assessment methods and criteria
Written and oral exam
