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SGN-2016 DIGITAL LINEAR FILTERING I, 5 cr
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Courses persons responsible
Tapio Saramäki
Lecturers
Robert Bregovic
Tapio Saramäki
Lecturetimes and places
Per II: Monday 12 - 14, TB215
Per II: Wednesday 12 - 14, TB215
Implementations
| Period 1 | Period 2 | Period 3 | Period 4 | Period 5 | Summer | |
| Lecture | - | 4 h/week | - | - | - | - |
| Exercise | - | 4 h/week | - | - | - | - |
| Exam | ||||||
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.
Content
| 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. |
Requirements for completing the course
Final examination.
Evaluation criteria for the course
Study material
| Type | Name | Auhor | ISBN | URL | Edition, availability... | Exam material | Language |
| Summary of lectures | "Digital Linear Filtering 1" | Tapio Saramäki | Yes | English |
Prerequisites
| Code | Course | Credits | M/R |
| SGN-1107 | SGN-1107 Introductory Signal Processing | 4 | Mandatory |
| SGN-1200 | SGN-1200 Signal Processing Methods | 4 | Mandatory |
| SGN-1250 | SGN-1250 Signal Processing Applications | 4 | Recommendable |
Prequisite relations (Sign up to TUT Intranet required)
Additional information about prerequisites
Either SGN-1107 or SGN-1200 is required.
Remarks
Courses SGN-2016 and SGN-2010 are mutually exclusive. Only one can be taken.
Distance learning
- In information distribution via homepage, newsgroups or mailing lists, e.g. current issues, timetables
- In distributing and/or returning exercise work, material etc
- Contact teaching: 45 %
- Distance learning: 0 %
- Proportion of a student's independent study: 55 %
Scaling
| Methods of instruction | Hours |
| Lectures | 75 |
| Exercises | 30 |
| Other scaled | Hours |
| Preparation for exam | 20 |
| Exam/midterm exam | 3 |
| Total sum | 128 |
Correspondence of content
8001063 Digital linear Filtering I
| Last modified | 15.10.2007 |
| Modified by | Sari Peltonen |