Introduction to digital signal processing (3 cr)
Code: TT00CC68-3004
General information
- Enrollment
-
02.12.2025 - 31.12.2025
Registration for introductions has not started yet.
- Timing
-
01.01.2026 - 31.07.2026
The implementation has not yet started.
- Number of ECTS credits allocated
- 3 cr
- Local portion
- 3 cr
- Mode of delivery
- Contact learning
- Unit
- Teknologia
- Teaching languages
- Finnish
- Degree programmes
- Bachelor’s Degree in Information and Communication Technology
Objective
After completing the course, the student knows the general characteristics of digital signals and the basic methods of digital signal processing, and masters the basics of discrete-time systems. In addition, the student learns to use signal processing in practice. After the course, the student will be able to 1) examine digital signals in the time and frequency plane, 2) create and interpret spectrum representations, 3) and apply the learned methods in the design and implementation of simple digital filters.
Content
- Description and characteristics of signals
- General statistical indicators
- Discrete Fourier transform
- Spectrum of the signal
- Discrete-time systems
- Discrete convolution
- Digital filters
- Application of digital signal processing in practice
- Using the Octave program in signal processing
Materials
Learning material shown by the teacher
Evaluation scale
0 - 5
Assessment criteria, excellent (5)
The student can fluently use digital signal processing in practical signal analysis and is able to design suitable digital filters. In addition, the student masters the description and theory of systems.
Assessment criteria, good (3)
The student knows the basic methods of digital signal processing and systems theory and knows how to form a signal spectrum and implement simple digital filters.
Assessment criteria, satisfactory (1)
The student knows the basics of digital signal processing and manages the formation of the signal spectrum.
Prerequisites
Kevään 2026 toteutuksesta alkaen:
- Python-ohjelmointi
- Datatieteen matematiikka 1 ja 2
Objective
After completing the course, the student knows the general characteristics of digital signals and the basic methods of digital signal processing, and masters the basics of discrete-time systems. In addition, the student learns to use signal processing in practice. After the course, the student will be able to 1) examine digital signals in the time and frequency plane, 2) create and interpret spectrum representations, 3) and apply the learned methods in the design and implementation of simple digital filters.
Execution methods
Lectures, programming and calculation exercises, independent exercises
The course is partly implemented online
Accomplishment methods
Assignment and exam
Content
- Description and characteristics of signals
- General statistical indicators
- Discrete Fourier transform
- Spectrum of the signal
- Discrete-time systems
- Discrete convolution
- Digital filters
- Application of digital signal processing in practice
- Using the Octave program in signal processing
Qualifications
Kevään 2026 toteutuksesta alkaen:
- Python-ohjelmointi
- Datatieteen matematiikka 1 ja 2