Lecture (2.0 VO)
This lecture course is built on the third semester course System Engineering and it covers discretetime signals and systems, as well as signal processing algorithms:
 Discretetime signals in the time and frequency domains
 Discrete Fourier Transform (DFT) and Fast Fourier Transform (FFT)
 ztransform
 Sampling and signal reconstruction
 Discretetime systems in the time and frequency domains
 Fast convolution
 Multirate signal processing and sampling rate conversion
 Spectral analysis and shorttime Fourier transform
 Digital filter design
 Quantization effects due to signal conversion and finite arithmetic
The course notes as recorded during lecture presentation in previous years are available for downlaod in the TeachCenter (login required; link below).
Exam
In order to register for the exam follow a standard procedure at TUGraz online
The written exam consists of five short theoretical questions (20%) and four analytical problems (4*20%=80%). The duration is three hours. The copies of some previous exams are provided here to help you to prepare. You can download them here.
It is agreed that the following material is allowed during the exam:
 A simple calculator. Alphanumerical calculators (such as TI92, TI89, TI Voyage and similar) are NOT allowed!
 One mathematical formulary or handbook (e.g. Bartsch or Bronstein). Avoid to conceal any signal processing related examples inside your handbook.
 A collection of signal processing formulas. This collection can be downloaded here (this is a new version; if you discover typos or mistakes, please contact Christian Knoll). Each student will be provided with this collection during the exam. You don't have to bring it with you.
 Pencil, biro, pen, ... (different colors), ruler, etc., but NO PAPER! You will be provided with paper during the exam.
 a drink, a small snack, ...
A remark on cheating: We advise you NOT to use any other material. Note that no jackets, no rucksacks, no bags, etc. are allowed in the vicinity of your desk during the exam. Cheaters wont be graded and wont be allowed to repeat the exam within 90 days ("Reprobationsfrist").
Problem Classes (1.0 UE)
The problem classes are arranged in 8 blocks of 90 minutes each and will be held on Mondays and Wednesdays. The classes start on 27th March 2017. The page and chapter numbers in the problem descriptions refer to the 3rd international edition of Oppenheim & Schafer, "DiscreteTime Signal Processing".
No. 
Topic 
Material 
1 
Signals & Systems, Octave Tutorial 
PDF
Octave Tutorial,
A word on notation, 
2 
Systems 
PDF

3 
Fourier Transforms 

4 
FFT Applications 

5 
FFT Applications 

6 
zTransform 

7 
zTransform, Sampling/Reconstruction 

8 
Filter Structures, MultiRate Processing 

9

RoundOff Noise, Bilinear Transform 

There are six different groups with five different time slots. See updated dates in TUGOnline!
Group 
Lecturer 
Room 
Time 
1 
Josef Kulmer 
HS i12 
Monday, 09:0010:30 
2 
Helmut Niederwieser 
HS i2 
Monday, 10:3012:00 
3 
Michael Rath 
HS i12 
Monday, 10:3012:00 
4 
Florian Muralter 
HS i2 
Monday, 13:3015:00 
5 
Christian Toth 
HS i12 
Monday, 16:1517:45 
6 
Anna Fuchs 
HS i12 
Wednesday, 17:1518:45 
Homework Assignments
To pass the problem classes you have to prepare three homework assignments per semester, consisting of analytical and Octave problems. The last assignment also consists of a Design Challenge, where the contestants can win some prizes. Last years' winners are devoted an additional webpage!
Assignments should be solved in groups of two students. Only one report needs to be delivered by each group. It is ok to work alone, although we do not recommend to do so (high work load).
Assignment
Date 
Assignment 
Due Date 
Additional
Material 
Q&ASession
Date

MCMs 
19.03.2018 
Assignment 1

09.05. 

07.05. 













How to deliver your homework?
 Deliver the Analytical assignments in PAPER form to the SPSC mailbox at Inffeldgasse 16c / ground floor. To ensure an intime grading of the homeworks the following instructions are important:
 The first page of each Analytical assignments has to be the PDF assignment with filled in NAMEs and MATR.NOs (otherwise: 2 points).
 Proper handwriting is essential, unreadability will cost several points.
 Submission of Analytical problems written in LaTeX may get additional 2 points per assignment. A template is available here. These additional points are considered ONLY if you have collected at least 50 points without them.
 Note: The Analytical assignments normally includes several subitems, i.e., (a), (b)... . Together they form ONE Analytical assignment.
 Octave problems have to be submitted via EMAIL and in paper form.
 Send the projects to the address hw1 [dot] spsc [at] tugraz [dot] at. Let the SUBJECT of the email be "YourMatrNo_YourColleaguesMatrNo". The body of the email should be empty (nobody will read it).
 A project consists of Octave files (*.m) and a simulation protocol in PDF or PS format. You have to ZIP all these files to the single file with the name "YourMatrNo_YourColleaguesMatrNo.zip" which has to be attached to the email.
 Additionally to the email submission, the simulation protocol needs to be delivered in PAPER form to our mailbox
 For each individual problem in each assignment, staple your solutions separately. Use the printout of the respective problem assignment as the title page(s); if the first assignment consists of problems 1.1, 1.2 and 1.3 then staple the first page's printout of problem 1.1 to your answer sheets and throw it in the mailbox. Then staple the print out of problem 1.2 to the corresponding answer sheets and throw it in the mailbox. Finally, take the print out of problem 1.3 and staple it to your answer sheets and throw it in the mailbox.
 If the individual problem assignments are not separated properly, any correction may take more time and you will lose 2 points.
 For delivering your homework too late, you will lose 5 points/day.
 In case not every problem assignment is delivered the missing ones are graded with zero points.
 Guidelines: read this.
 What should be in your simulation protocol (Octave homeworks)? Read this.
Newsgroup
There is a newsgroup for the exchange of information concerning this course. The address is tugraz.lv.signalverarbeitung. The threads from the previous year(s) can be found in the archive.
Time and place of the Q&A sessions (NOT for discussion of the grading!) will be announced in the newsgroup!
Grading
For each assignment you can earn up to 25 points. You get at least 0 points for each assignment.
Achieved points

Grade

>= 89

1

76 <= ... < 89

2

63 <= ... < 76

3

50 <= ... < 63

4

< 50

5

References/Course Material
Problem Classes
 A.V. Oppenheim, R.W. Schafer, J.R. Buck: DiscreteTime Signal Processing. PrenticeHall, 1999 (2nd ed.). Strongly recommended! The course is based on this book (including the notation). You can buy the english version of the book here or lend it from the library.
 Richard G. Lyons: Understanding Digital Signal Processing. PrenticeHall, 2011 (3rd ed.). A quite pracitcal and intuitive introduction to DSP. There is an online version available on the TU Graz library's homepage.
 Global JOS Index  An online ressourcre by Julius Orion Smith which covers a theoretical and practical signal processing topics.
Additional Literature for the Lecture
 Richard A. Roberts and Clifford T. Mullis: Digital Signal Processing. AddisonWesley, Reading (MA), 1987.
 J.G. Proakis and D.G. Manolakis: Digital Signal Processing: Principles, Algorithms, and Applications. PrenticeHall, 1995 (3rd ed.).
 James H. McClellan, Ronald W. Schafer and Mark A. Yoder: DSP First: A Multimedia Approach. Prentice Hall, 1998.
Octave
 You can download Octave from the GNU webpage. There you will also find a link to a wiki explaining installation under Microsoft Windows.
 Since Octave is a terminal application, you might want to use a GUI: We tested QtOctave in class, but its development ceased; DomainMath IDE looks very good too! If you have further suggestions, please tell us so!
MATLAB (also useful for Octave)
 MATLABTutorial Videos (30 mins total):
 Introduction to MATLAB from Cornell University, 1997. Strongly recommended!
 MATLAB Documentation at www.mathworks.com. It is highly recommended to work through the Getting Started tutorial (especially the Manipulating Matrices section).
 MATLAB Primer, 3rd edition, by Kermit Sigmon, University of Florida. Another recommendable, compact introduction to MATLAB.
 You can use MATLAB at home directly over a terminal server. Instructions can be found here.
 Literature:
 Gerhard Doblinger: MATLABProgrammierung in der digitalen Signalverarbeitung. J.Schlembach Fachverlag, Weil der Stadt, 2001. (excerpt on blockfiltering)
 J.H. McClellan et al.: ComputerBased Exercises for Signal Processing Using MATLAB 5. PrenticeHAll 1998.
 V.K. Ingle and J.G. Proakis: Digital Signal Processing using MATLAB. Brooks/Cole Publishing Company, Pacific Grove (CA), 2000.
Additional Educational Ressources