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: 27.02.2023 - 07.06.2023
Teacher in charge (valid for whole curriculum period):
Teacher in charge (applies in this implementation): 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
Substitutes for Courses
valid for whole curriculum period:
Prerequisites
valid for whole curriculum period:
FURTHER INFORMATION
Further Information
valid for whole curriculum period:
Teaching Language : English
Teaching Period : 2022-2023 Spring IV - V
2023-2024 Spring IV - V