Course Catalog 2009-2010
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Basic Pori International Postgraduate Open University

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Course Catalog 2009-2010

SGN-2056 Digital Linear Filtering II, 4 cr

Person responsible

Tapio Saramäki

Implementations

  Lecture times and places Target group recommended to
Implementation 1


Per 4 :
Tuesday 16 - 18, TB223
Thursday 12 - 14, TB223

 
 


Requirements

Final examination and 2 assignments out of 3.

Principles and baselines related to teaching and learning

-

Learning outcomes

Various traditional and more up-to-date approaches for synthesizing linear digital filters. Finite wordlength effects are considered in detail.

Content

Content Core content Complementary knowledge Specialist knowledge
1. Design and implementation of finite-impulse response digital filters using both the traditional approaches and approaches leading to efficient implementations.  The lecture notes review various alternatives of using the computationally-efficient structures inluded in the course.  During the lectures, some extra information not included in the lecture notes is given. 
2. Design and implementation of infinite-impulse response digital filters using both the traditional approaches and approaches leading to efficient implementations.      
3. Finite wordlength effects are considered in more details compared to the course SGN-2016.     


Evaluation criteria for the course

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 out of 3 are accepted. Course acceptance threshold is approximately half the maximum exam points. The third homework is a volunteer work and is prized by increasing the exam result by one grade provided that the exam threshold is passed.

Assessment scale:

Numerical evaluation scale (1-5) will be used on the course

Study material

Type Name Author ISBN URL Edition, availability, ... Examination material Language
Other literature   "Digital Linear Filtering II"   Tapio Saramäki            English  


Prerequisites

Course Mandatory/Advisable Description
SGN-1250 Signal Processing Applications Advisable    
SGN-2010 Digital Linear Filtering I Mandatory    
SGN-2016 Digital Linear Filtering I Mandatory    

Additional information about prerequisites
Either SGN-2010 or SGN-2016 is required.

Prerequisite relations (Requires logging in to POP)

Correspondence of content

Course Corresponds course  Description 
SGN-2056 Digital Linear Filtering II, 4 cr 8001102 Digital Linear Filtering II, 2 cu  

More precise information per implementation

  Description Methods of instruction Implementation
Implementation 1   Lectures
Excercises
Practical works
   
Contact teaching: 0 %
Distance learning: 0 %
Self-directed learning: 0 %  


Last modified16.06.2009
ModifierRaija Lehto