IRE31613 Signal Processing (Autumn 2018)
Facts about the course
- ECTS Credits:
- 10
- Responsible department:
- Faculty of Computer Science, Engineering and Economics
- Course Leader:
- Per Thomas Huth
- Teaching language:
- English
- Duration:
- ½ year
The course is connected to the following study programs
Compulsory course in Bachelor of Engineering, Study Programme: Electronics - Digital Electronics.
Lecture Semester
5th semester (autumn).
The student's learning outcomes after completing the course
Knowledge
The student has
- basic knowledge of digital signal processing
Skills
The student can handle
- manual and computerized methods for analysis and synthesis of digital signaling systems
- the realization of signal processing algorithms when programming a digital signal processor
General competence
The student knows
- the use of digital signal processors and principles for programming signal processing algorithms
Content
The subject contains two main topics: Signal theory and realization of DSP algorithms.
Signal Theory:
- Differential equations
- Impulse response
- Convolution
- Frequency response (Fourier analysis)
- Z transformation
- Analysis and synthesis of digital filters (FIR, IIR)
- Digital Spectral Analysis (DFT, FFT)
- Analysis of time-continuous signals
- Filter Construction (FIR, IIR)
Realization of DSP algorithms:
- Characteristics of architecture and functionality for digital signal processors (DSP)
- Realization of signal processing algorithms using C Programming
- Practical exercises that include the use of a standard development platform
Forms of teaching and learning
The teaching is conducted as lectures, theoretical exercises and practical assignments in the laboratory.
Workload
300 hours
Practical training/internship
None
Coursework requirements - conditions for taking the exam
- Minimum 3-5 approved laboratory exercises
- Minimum 4-5 approved assignments
Work requirements must be approved before the students can attend the exam.
Examination
4 hours written individual exam.
Permitted aids: Professional books from the syllabus. Calculator, with empty memory, that cannot compute symbolically and that cannot be used for wireless communication.
The letters A - F are given, where A is the best grade and F is not passed.
Examiners
Two internal sensors
Course evaluation
The course has ongoing evaluation throughout the semester with methods agreed between the teacher (s) and students.
Written final evaluation of the course.
Literature
McClellan, J. H., Schafer, R., Yoder, M. (2016), DSP First, 2. Ed, Pearson
Miscellaneous material distributed or made available via electronic learning platform.