Course Catalog 2008-2009 Basic Basic Pori International Postgraduate Open University |Degrees|     |Study blocks|     |Courses|

Course´s 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 and 2 assignments out of 3.

Principles and baselines related to teaching and learning

-

Objectives

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

Correspondence of content

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 modified	20.11.2008
Modifier	Kirsi Järnström