Credits: 5

Schedule: 10.09.2019 - 12.12.2019

Teaching Period (valid 01.08.2018-31.07.2020): 

I-II 2018 – 2019, 2019 – 2020 (autumn)

Learning Outcomes (valid 01.08.2018-31.07.2020): 

To be able to explain and use basic methods of statistical signal processing and apply them to various problems in engineering, data analytics and multisensor systems.

Content (valid 01.08.2018-31.07.2020): 

Estimation, optimal and adaptive filtering, sensor array processing and multisensor systems

Assessment Methods and Criteria (valid 01.08.2018-31.07.2020): 

Lectures, exercises and an exam. Taking the exam may require passed exercises.

Workload (valid 01.08.2018-31.07.2020): 

5 cr = 133 h

Lectures, Exercises, Exam approximately 30 h, Independent studying (homeworks, preparing for exam, etc.) approximately 103 h

Attendance in some contact teaching may be compulsory.

Study Material (valid 01.08.2018-31.07.2020): 


Substitutes for Courses (valid 01.08.2018-31.07.2020): 

Replaces course S-88.4200 Statistical Signal Processing P

Course Homepage (valid 01.08.2018-31.07.2020):

Prerequisites (valid 01.08.2018-31.07.2020): 

Basic knowledge of matrix algebra, probability and statistics.

Grading Scale (valid 01.08.2018-31.07.2020): 


Registration for Courses (valid 01.08.2018-31.07.2020): 

In WebOodi

Further Information (valid 01.08.2018-31.07.2020): 

Language class 3: English


Registration and further information