Course unit, curriculum year 2023–2024
COMP.SGN.100
Introduction to Signal Processing, 5 cr
Tampere University
- Description
- Completion options
Teaching periods
Active in period 1 (1.8.2023–22.10.2023)
Active in period 2 (23.10.2023–31.12.2023)
Active in period 3 (1.1.2024–3.3.2024)
Active in period 4 (4.3.2024–31.5.2024)
Course code
COMP.SGN.100Language of instruction
English, FinnishAcademic years
2021–2022, 2022–2023, 2023–2024Level of study
Basic 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 %
Core content
- Basics of Matlab for signal processing
- Basics of digital signal processing: sampling theorem, discrete signals and systems, and the convolution operator.
- Analysis of discrete signals and systems: discrete Fourier transform, FFT algorithm, z-transform, transfer function and frequency response.
- Design of linear systems using the window desing method
- Multirate DSP: Decimation and Interpolation
- Fundamentals of machine learning. Applications of signal processing algorithms in pattern recognition.
- Applications. Visiting lectures from university or the industry.
Complementary knowledge
- Fourier transform, Fourier series and Discrete-time Fourier transform
Specialist knowledge
- Parks-McClellan algorithm
Learning outcomes
Prerequisites
Compulsory prerequisites
Recommended prerequisites
Learning material
Equivalences
Studies that include this course
Completion option 1
English implementation on 1st period and Finnish implementation on 2nd period
Completion of all options is required.
Exam
18.10.2023 – 18.10.2023
Active in period 1 (1.8.2023–22.10.2023)
28.11.2023 – 28.11.2023
Active in period 2 (23.10.2023–31.12.2023)
20.12.2023 – 20.12.2023
Active in period 2 (23.10.2023–31.12.2023)
15.02.2024 – 15.02.2024
Active in period 3 (1.1.2024–3.3.2024)
15.02.2024 – 15.02.2024
Active in period 3 (1.1.2024–3.3.2024)
21.03.2024 – 21.03.2024
Active in period 4 (4.3.2024–31.5.2024)
Participation in teaching
29.08.2023 – 15.10.2023
Active in period 1 (1.8.2023–22.10.2023)
23.10.2023 – 10.12.2023
Active in period 2 (23.10.2023–31.12.2023)