Introduction to digital signal processing (3 cr)

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

Opettajan osoittama oppimateriaali

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