Opinto-opas 2005-2006

SGN-2156 SYSTEM LEVEL DSP ALGORITHMS, 4 cr
SYSTEM LEVEL DSP ALGORITHMS

Person responsible
Prof. Tapio Saramäki

Lecturers
Tapio Saramäki, Professor, room TE406, tapio.saramaki@tut.fi

Lecture room and time
Per IV: Tuesday 12 - 14, TB216
Per IV: Thursday 12 - 14, TB216

Implementation rounds
Implementation 1
  Period 1 Period 2 Period 3 Period 4 Period 5 Summer Language of instruction
Lecture - - - 4 h/week - - In English only
Exercise - - - 2 h/week - - In English only
Exam   In English only
Assignment   Total: 26 h  
(Academic Calender 2005-2006)

Objectives
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.

Contents
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 for developing 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 wordlenth 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. 		      

Requirements for completing the course
Final examination and 2 homeworks out of 3.

Assessment criteria
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.

  • Used assessment scale is numeric (1-5)

    • Study material
    Type Name Author ISBN URL, edition, availablitity... Exam material Language
    Summary of lectures "System Level DSP" Tapio Saramäki     Yes  English 

    Prerequisites
    Number Name Credits M/R
    SGN-2056 Digital Linear Filtering II 4 Mandatory
    SGN-2106 Multirate Signal Processing 6 Recommendable

    Other comments

  • The course is suitable for postgraduate studies.

    • Correspondence of content
    8001202 System Level DSP Algorithms

    Course homepage

    Last modified 02.02.2005
    Modified byAntti Niemistö