Advanced Signal Processing, 5 cr

Tampere University

Teaching periods

Course code

COMP.SGN.200

Language of instruction

English

Academic years

2024–2025, 2025–2026, 2026–2027

Level of study

Advanced studies

Grading scale

General scale, 0-5

Persons responsible

Responsible teacher:

Sari Peltonen

Responsible organisation

Faculty of Information Technology and Communication Sciences 100 %

Coordinating organisation

Computing Sciences Studies 100 %

Finite wordlength effects
Deterministic and random signals: review of Fourier transform, z transform, random variables, random signals, correlation, AR, MA, ARMA
Optimal filter design: Wiener filter, Least squares, essentials of estimation, MLE, CramerRao
Adaptive filter design: LMS, NLMS, RLS
Application areas of Optimal filter design and Adaptive filter design
Spectrum estimation: Frequency spectrum, Direction of Arrival spectrum
Possible other related topics

Learning outcomes

Prerequisites

Compulsory prerequisites

Further information

Learning material

Equivalences

Studies that include this course

Completion option 1

Completion of all options is required.