Course Catalog 2009-2010
Basic

Basic Pori International Postgraduate Open University

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Course Catalog 2009-2010

SGN-2016 Digital Linear Filtering I, 5 cr

Person responsible

Tapio Saramäki, Robert Bregovic

Implementations

  Lecture times and places Target group recommended to
Implementation 1


Per 3 :
Tuesday 12 - 14, TB223
Thursday 12 - 14, TB223

 
 


Requirements

Final examination.

Principles and baselines related to teaching and learning

-

Learning outcomes

Basics and needs for linear digital filtering. Filter structures as well as various responses characterizing the performance of linear digital filter. Conventional design techniques and finite wordlength effects.

Content

Content Core content Complementary knowledge Specialist knowledge
1. What is a digital filter and how to analyse its performance with the aid of various responses? Various structures to implement digital filters.  Introductory filtering examples and the effect of poles and zeros for various responses of digital filters.  During the lectures, some extra information not included in the lecture notes is given. 
2. Design and implementation of conventional finite-impulse response (FIR) digital filters. The main emphasis is laid on synthesizing linear-phase FIR filters.  The lecture notes review various structures to implemente digital filters in order to make the terminology familiar.   
3. Design and implementation of classical infinite-impulse response digital filters.     
4. Finite wordlegth effects when implementing digital filters using the fixed-point arithmetic.     


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. Course acceptance threshold is approximately half the maximum exam points.

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
Summary of lectures   "Digital Linear Filtering 1"   Tapio Saramäki            English  


Prerequisites

Course Mandatory/Advisable Description
SGN-1107 Introductory Signal Processing Mandatory    
SGN-1200 Signaalinkäsittelyn menetelmät Mandatory    
SGN-1250 Signaalinkäsittelyn sovellukset Advisable    

Additional information about prerequisites
Either SGN-1107 or SGN-1200 is required.

Prerequisite relations (Requires logging in to POP)

Correspondence of content

Course Corresponds course  Description 
SGN-2016 Digital Linear Filtering I, 5 cr 8001063 Digital linear Filtering I, 3 cu  

More precise information per implementation

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


Last modified18.01.2010
ModifierTapio Saramäki