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Course unit, curriculum year 2024–2025
COMP.SGN.200
Advanced Signal Processing, 5 cr
Tampere University
- Description
- Completion options
Teaching periods
Active in period 3 (1.1.2025–2.3.2025)
Course code
COMP.SGN.200Language of instruction
EnglishAcademic years
2024–2025, 2025–2026, 2026–2027Level of study
Advanced studiesGrading scale
General scale, 0-5Persons responsible
Responsible teacher:
Sari PeltonenResponsible 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.
Participation in teaching
07.01.2025 – 23.02.2025
Active in period 3 (1.1.2025–2.3.2025)
Exam
No scheduled teaching