Syllabus

LEARNING OUTCOMES

After completing this course students

• can explain basic terminology and concepts in digital signal processing (DSP)
• can explain the functioning of basic building blocks of practical DSP systems and design simple systems using them
• can explain basic concepts of Fourier or frequency-domain representation of signals
• understand mathematical and practical aspects within design of digital filters
• can use a computer language (such as Matlab or Python) for solving basic signal processing tasks
• are able to identify real-world signal processing problems

Credits: 5

Schedule: 26.02.2024 - 05.06.2024

Teacher in charge (valid for whole curriculum period):

Teacher in charge (applies in this implementation): Filip Elvander, Filip Elvander

Contact information for the course (applies in this implementation):

CEFR level (valid for whole curriculum period):

Language of instruction and studies (applies in this implementation):

Teaching language: English. Languages of study attainment: English

CONTENT, ASSESSMENT AND WORKLOAD

Content

• valid for whole curriculum period:

  Principles of digital filtering: difference equations and transfer functions; Design of FIR and IIR filters; Spatial filters; Applications of signal processing.

Assessment Methods and Criteria

• valid for whole curriculum period:

  Exam, exercises, homework assignments

Workload

• valid for whole curriculum period:

  Lectures, exercises, exams

DETAILS

Study Material

• valid for whole curriculum period:

  Lecture slides and handouts. See course page.

Substitutes for Courses

• valid for whole curriculum period:

  Substitutes for Courses

Prerequisites

• valid for whole curriculum period:

  Prerequisites

FURTHER INFORMATION

Further Information

• valid for whole curriculum period:

  Teaching Language : English

  Teaching Period : 2022-2023 Spring IV - V
  2023-2024 Spring IV - V

Description