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

Course´s person responsible

Tapio Saramäki

Implementations

	Lecture times and places	Target group recommended to
Implementation 1	Per 4 : Wednesday 10 - 12, TB224 Per 4, 5 : Thursday 12 - 14, TB223 Per 5 : Wednesday 14 - 16, TB219

Requirements

Final examination and 2 assignments out of 3.

Principles and baselines related to teaching and learning

-

Objectives

Fundamentals of multirate digital signal processing, which is one of the most crucial subtopics of DSP for synthesizing efficient digital systems for various applications. Design of decimators, interpolators, multirate filter banks and wavelet filter banks. Some applications of multirate signal processing are also considered.

Content

Content	Core content	Complementary knowledge	Specialist knowledge
1.	Basics of multirate digital signal processing.
2.	Design and implementation of efficient decimators and interpolators.
3.	Polynomial-based interpolation for signal processing applications.
4.	Design of FIR filters using multirate and complementary filtering.
5.	Design and implementation of multirate filter banks including discrete-time wavelet banks.

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 of 3 homeworks are accepted. Course acceptance threshold is approx. half of the maximum exam points. The third homework is a volunteer work and is prized with increasing the exam result by one grade provided that the 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
Summary of lectures	"Multirate Signal Processing"	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	27.01.2009
Modifier	Kirsi Järnström