Pekka Astola

Email: firstname.lastname@tut.fi

Professor Ioan Tabus

Lectures: Advanced Signal Processing

Exercises, maximum 5 points

Project work, 3-10 points (3p mandatory for passing the course)

Exam 20 points

Total maximum 35 points.

There are computers for only **16 people!** Take this into consideration.

You can form groups of two people, if you wish.

Try to finish in the one hour time limit. Better yet, prepare your solutions before the session!

- Exercise class 1: Random Signals

[Exercise set 1] [MATLAB files]

- Exercise class 2: NLMS

[Exercise set 2] [LMS algorithm implementation] [Audio files]

[main.m (solution)] [NLMS.m (solution)]

- Exercise class 3: Comparing Adaptive Filters

Study material for LMS variants

[Exercise set 3] [Audio files]

[L8.m (solution)]

- Exercise class 4: Implementation of RLS

[Exercise set 4] [Matlab + Audio files]

[Matlab solution]

- Exercise class 5: Least squares AR parameter estimation and model order selection

[Exercise set 5] [Matlab file]

[Matlab solution]

Project documentation

Project data files