521368S COMMUNICATION SIGNAL PROCESSING I (5.5 cu)

The course is lectured by Markku Juntti

The assistant for the exercises is Juha Pyhtilä

Laboratory Project: Janne Janhunen Janne Janhunen

Time:
Periods 4 and 5: January 2011 - March 2012

Place:
TS 127 (Tietotalo)

Outline:
Communication Signal Processing I applies statistical signal processing methodology for communication receiver baseband algorithm design. Particular emphasis is on detector and equalizer design problems relevant in the baseband processing of wireless communication receivers. Algorithms and computation solutions based on matrix algorithms and adaptive filters are covered. Both linear and nonlinear equalizers are considered. Optimal linear filters and in particular Wiener filters are reviewed and their adaptive implementations are introduced. Least-mean square (LMS) and recursive least squares (RLS) algorithms are derived and their properties are analyzed.

Literature:

1. Jinho Choi, Adaptive and Iterative Signal Processing in Communications, Cambridge University Press, 2006.

and either one of the following books:

2. Simon Haykin, Adaptive Filter Theory, 3rd ed. Prentice Hall, 1996.
2A. Simon Haykin, Adaptive Filter Theory, 4th ed. Prentice Hall, 2002.

In addition, lecture notes are provided.

Prerequisites:
Necessary: Signals and systems, Digital Filters, Random Signals, Telecommunication Engineering II.
Recommended: Statistical Signal Processing, Wireless Communications II.

Requirements:
The course is passed by a final exam and laborarory project.

General Course Information:

More detailed course information and requirements (pdf, 98 kB).

Students are awarded 5.5 credit points for passing the course.

Exercises:

The times for the sixth and seventh exercises in 2012 are Wednesday 14.03.2012 at 10:15-11:45 in TS127 and Thursday 15.03.2012 at 10:15-11:45 in TS127. There will be a sixth mini-exam on Wednesday but no mini-exam on Thursday.

Laboratory work:

The deadline for the laboratory work is the 30th of March 2012.