ELE213 Signal Processing
- ECTS Credits:
- 10
- Responsible department:
- Faculty of Engineering and Science
- Course Leader:
- Lei Jiao
- Lecture Semester:
- Spring
- Teaching language:
- English and Norwegian
- Duration:
- 1 term
The course is connected to the following study programs
- Electronics and Electrical Engineering, Bachelor's Programme
Teaching language
English and NorwegianRecommended prerequisites
MA-169 Mathematics 1 - Electrical Engineering (Complex Numbers) and MA-170 Mathematics 2 - Electrical Engineering (Fourier series).
Course contents
Signals in the time and frequency domains. Sampling and quantization. Fourier and Z-transformation. Transfer functions. Convolution and correlation. Digital filters. Multi-Rate DSP. Simple image processing. Random signals.
Learning outcomes
On successful completion of the course, the students:
- Have knowledge of the digitization of analog signals, digital filters, convolution and correlation, Fourier and z-transformation, the basic properties of random signals.
- Are able to develop mathematical models of simple signal processing systems.
- Can use LabView to create simple signal processing applications including AD-DA, digital filters, DFT routines and simple image processing.
Examination requirements
Students must pass the compulsory assignments in order to take the examination. An overview of the compulsory assignments will be given in Canvas at the start of the semester.
Teaching methods
Lectures, theoretical exercises and lab. exercises. The exercises conducted in the electrical lab on specially designed equipment and performed under the supervision of an engineer, student assistant and / or teacher in groups of max 3 students. Necessary training in the use of subject related software and hardware will be given. Classes are divided into groups of appropriate size so that all students should have access to necessary equipment and the support they need to solve the tasks.
Evaluation
The study programme manager, in consultation with the student representative, decides the method of evaluation and whether the courses will have a midterm- or end of term evaluation, see also the Quality System, section 4.1. Information about evaluation method for the course will be posted on Canvas.
Assessment methods and criteria
Written examination, 4 hours. Graded assessment.
Reduction of Credits
This course’s contents overlap with the following courses. A reduction of credits will occur if one of these courses is taken in addition:
Course | Reduction of Credits |
---|---|
ELE208 – Signal Processing | 10 |