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SGN-2156 System Level DSP Algorithms, 4 cr |
Tapio Saramäki
No implementations
Final examination and 2 assignments out of 3.
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Students will learn about system-level design of DSP algorithms for various applications. Optimizations of DSP algorithms for both VLSI and signal processor implementations are considered.
Content | Core content | Complementary knowledge | Specialist knowledge |
1. | The main goal of the course is to educate students on how DSP experts should work in a proper manner with experts implementing DSP algorithms in order to produce a good final product. | Design of digital filters using identical building blocks covers three alternatives. Only the basic principle has to be learned. | |
2. | Why there is a need to develope efficient algorithms at the system level. | The part "Design of filters and filter banks by optimization: Applications" is very long. Again, only the main idea has to be learned. | |
3. | Design of digital filters using identical building blocks. Design of various kinds of filters meeting the same criteria. | There are two journal articles on the part "Some elegant designs based on the use of recursive running sum filters". The key idea of using these filters has to be learned. | |
4. | Finite wordlength effects in practice. Some elegant designs based on the use of recursive running sum filters. | ||
5. | Design of filters and filter banks by optimization: Applications. Recent advances in ant research; the last lecture for fun. |
Course is graded on the basis of answers to exam questions. Very good grade is obtained when exam questions are correctly answered and 2 homeworks of 3 are accepted. Course acceptance threshold approx. is half of the maximum exam points. 3th homework is a volunteer work and is prized with increasing the exam result by one grade if the threshold is passed.
Numerical evaluation scale (1-5) will be used on the course
Type | Name | Author | ISBN | URL | Edition, availability, ... | Examination material | Language |
Summary of lectures | "System Level DSP" | Tapio Saramäki | English |
Course | O/R |
SGN-2056 Digital Linear Filtering II | Obligatory |
SGN-2106 Multirate Signal Processing | Recommended |
Course | Corresponds course | Description |
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