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SGN-2016 Digital Linear Filtering I, 5 cr |
Tapio Saramäki, Robert Bregovic
Lecture times and places | Target group recommended to | |
Implementation 1 |
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Final examination.
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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 | 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. |
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.
Numerical evaluation scale (1-5) will be used on the course
Type | Name | Author | ISBN | URL | Edition, availability, ... | Examination material | Language |
Summary of lectures | "Digital Linear Filtering 1" | Tapio Saramäki | English |
Course | O/R |
SGN-1107 Introductory Signal Processing | Obligatory |
SGN-1200 Signaalinkäsittelyn menetelmät | Obligatory |
SGN-1250 Signaalinkäsittelyn sovellukset | Recommended |
Course | Corresponds course | Description |
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Description | Methods of instruction | Implementation | |
Implementation 1 |
Contact teaching: 0 % Distance learning: 0 % Self-directed learning: 0 % |