Opinto-opas 2005-2006

SGN-2016 DIGITAL LINEAR FILTERING I, 5 cr
DIGITAL LINEAR FILTERING I

Person responsible
Prof. Tapio Saramäki

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

Lecture room and time
Per II: Monday 12 - 14, TB215
Per II: Wednesday 12 - 14, TB215

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 - 4 h/week - - - - In English only
Exam   In English only
(Academic Calender 2005-2006)

Objectives
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.

Contents
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 for implementing digital filters.  Introductory filtering examples and the effect of poles and zeros for various responses of digital filters.  During the lectures, some extra indormation 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 for implementing 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.       

Requirements for completing the course
Final examination.

Assessment criteria
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.

  • Used assessment scale is numeric (1-5)
  • Study material
    Type Name Author ISBN URL, edition, availablitity... Exam material Language
    Summary of lectures "Digital Linear Filtering 1" Tapio Saramäki     Yes  English 

    Prerequisites
    Number Name Credits M/R
    SGN-1106 Introductory Signal Processing 3 Mandatory
    SGN-1200 Signal Processing Methods 4 Mandatory
    SGN-1250 Signal Processing Applications 4 Recommendable

    Additional information related to prequisites
    Either SGN-1106 or SGN-1200 is required.

    Other comments
    Courses SGN-2016 and SGN-2010 are mutually exclusive. Only one can be taken.

    Correspondence of content
    8001063 Digital linear Filtering I

    Course homepage

    Last modified 02.02.2005
    Modified byAntti Niemistö