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Digitaalinen signaalinkäsittely (E0156), 5 op
Basic information
| Course name: | Digitaalinen signaalinkäsittely Digital Signal Processing |
| Course Winha code: | E0156 |
| Kurre acronym: | DSP |
| Credits: | 5 |
| Type and level of course: | Professional studies |
| Year of study, semester or study period: | 3.year, 4.year |
| Implementation: | Not defined |
| Semester: | 0607 |
| Language of tuition: | English |
| Teacher: | Thierry Baills |
| Final assessment: | Grading scale (0-5) |
Descriptions
Prerequisites
MATL0111, MATL0112, E0125, E0126, E0128, E0130
Course contents (core content level)
Discrete time systems. z-transform and its properties. Differential equatins and flow charts. Digital filter design and applications. CAD-methods.
Diskreettiaikajärjestelmät, z-muunnos ja sen ominaisuudet, digitaalisuodattimet; differenssiyhtälöt ja virtauskaaviot, näytteenotto, digitaalisuodattimien suunnittelu; CAD-menetelmät, digitaalisuodatintoteutuksia.
Course contents (additional)
Discrete Fourier transform (DFT). Calculation of DFT through fast Fourier transform (FFT). Effects of finite calculation accuracy. Interpolation and desimation.
Core content level learning outcomes (knowledge and understanding)
After completion of this course the student will understand the fundamentals of digital signal processing. The student will be familiar with the most common digital filter topologies.
Core content level learning outcomes (skills)
After completion of this course the student will be able to design simple digital filters. The student will be able to use z-transform in the analysis of simple discrete systems.
Recommended reading
TBD
Teaching and learning strategies
Class room teaching: 56 h
Laboratory exercises:
Project: 15 h
Exam: 6h
Student individual workload (student workload analysis carried out 5/05): 52 h
Total: 129 h
Follow-up of the student workload analysis is performed: -
Teaching methods and student workload
Assessment weighting and grading
Assessment of compulsory homework assignments and laboratory exercises. Exam.
Related competences of the degree programme
Telecommunications and Radio Technology
Digital Electronics and Programming
Theoretical basis and mathematical and science skills