Opinto-opas 2005-2006

SGN-2056 DIGITAL LINEAR FILTERING II, 4 cr
DIGITAL LINEAR FILTERING II

Person responsible
Prof. Tapio Saramäki

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

Lecture room and time
Per III: Tuesday 12 - 14, TB223
Per III: Thursday 12 - 14, TB223

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 Finnish and English
Assignment - - 18 h/per - - - In English only
Exam   In English only
(Academic Calender 2005-2006)

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

Contents
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 word-length effects are considered in more details compared to the course SGN-2016.       

Requirements for completing the course
Final examination and project work.

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 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.

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

    Prerequisites
    Number Name Credits M/R
    SGN-1250 Signal Processing Applications 4 Recommendable
    SGN-2010 Digital Linear Filtering I 5 Mandatory
    SGN-2016 Digital Linear Filtering I 5 Mandatory

    Additional information related to prequisites
    Either SGN-2010 or SGN-2016 is required.

    Other comments

  • The course is suitable for postgraduate studies.
  • Correspondence of content
    8001102 Digital Linear Filtering II

    Course homepage

    Last modified 02.02.2005
    Modified byAntti Niemistö