SGN1159 Introduction to Signal Processing, long version 2012, 5cr
General Information
Lectures (28h)
Given by Karen Egiazarian (Room TE 416, Phone 3115 3860, Email: firstname.familyname (at) tut.fi)
Exercises (18h)
Given by Pavlo Molchanov (Room TE 414, Email: fistname.lastname (at) tut.fi).
Time and place:
 Lectures:
 Tuesdays 14:1516:00 room S1 (Sahkotalo)
 Wednesdays 12:1514:00 room S2 (Sähkotalo)
 Exercises:
 Group 1: Tuesdays, 08:15 – 10:00, room TB 206.
 Group 2: Tuesdays, 12:15 – 14:00, room TC 133.
News

09.02.2013 The final grades of the exam on 17.01.2013 are published here. The grades will be visible in POP system soon.

09.02.2013 The final grades of the exam on 05.12.2012 are published here.
 19.11.2012 The final grades for the course are published here.
The exam grade is calculated as follows. If the number of points is from 27 to 30 then it is 5, if from 24 to 26 then 4, if from 21 to 13 it is 3, if from 18 to 20 then 2, if 15 to 17 then 1, if the number of points is less than 15 it means you don't pass the course. bonus points from exercise sessions are added to the exam points. The final course grade is computed as round(0.2*HWGrade+0.8*ExamGrade), if the exam grade is large than 0. The gades will be transfered to the pop system soon.
Please, don't forget to leave the feedback about the course. Thank you!

25.10.2012 Homework points are updated. Accepted Matlab projects are marked there. Bonus points are marked also. The points will be updated as soon as the exam will be checked. Please, don't forget to leave the feedback about the course. Thank you!

14.10.2012 Homework points are updated. HW5 points will be uploaded soon.

04.10.2012 Solutions of Exercise 5 are published. Solution of the Problem 5 from the voluntary test is published as well.

01.10.2012 Homework 4 and Homework 5 are available.

24.09.2012 Addition material to Exercise 3 is available; To solve the Problem 2 from Homework 3 you will need to read Chpter 3.9 Sampling of Bandpass Signals pages 129131 from the book "Digital Signal Processing" by S.K.Mitra.

21.09.2012 Points and answers of Homework 1 are published on the exercises web page;

21.09.2012 Third homework is published;

13.09.2012 Second homework is published;

05.09.2012 First homework is published on the exercises' web page;

28.08.2012 The room for second lecture (29.08.2012) has been changed to TB219;
Requirements
Final exam and exercises, including small homeworks.
70% of lectures (4 hours of lectures every week) and 80% of exercises have mandatory attendance.
Collect at least 50% of all homework points.
Return a satisfactory MATLAB project before the deadline.
Content of the course
The lectures will follow the textbook:
[1] Sanjit Mitra, Digital Signal Processing: A ComputerBased Approach, 3rd edition, McGraw Hill, 2005.
[2] Steven W. Smith, The Scientist and Engineer's Guide to Digital Signal Processing
All students are entitled of borrowing one copy of the textbook for the time of the course. In order to get a book from the library, the student should be registered at POP. The library will be giving the books to registered students.
 Week 1
 (Tue.) Different signals, basic operations, convolution, correlation.
Reference: [1, chapters 1 & 2]; [2, chapters 1,3 & 6]. Lecture handouts: Lecture 1 (part 1)
 (Wed.) DiscreteTime Signals and Systems in the Time Domain.
Reference: [1, chapters 2]. Lecture handouts: Lecture 1 (part 2)
 Week 2
 (Tue.) More about discretetime signals, their classification, basic sequences, sampling
Reference: [1, chapter 2]; [2, chapter 3]. Lecture handouts: Lecture 2 (part 1)
 (Wed.) DiscreteTime Signals and Systems in the Frequency Domain.
Reference: [1, chapter 3]. Lecture handouts: Lecture 2 (part 2)
 Week 3
 (Tue.) Audio and speech.
Reference: [2, chapter 22]. Lecture handouts: Lecture 3 (part 1)
 (Wed.) Digital Processing of ContinuousTime Signals.
Reference: [1, chapter 4]. Lecture handouts: Lecture 3 (part 2)
 Week 4
 (Tue.) LTIsystems, their classification and properties, DTFT and DFT.
Reference: [1, chapters 2, 3 & 5]; [2, chapter 5 & 8]. Lecture handouts: Lecture 4 (part 1)
 (Wed.) FiniteLength Discrete Transforms.
Reference: [1, chapter 5]. Lecture handouts: Lecture 4 (part 2)
 Week 5
 (Tue.) Image processing.
Reference: [2, chapter 23,24]. Lecture handouts: Lecture 5 (part 1)
 (Wed.) DiscreteTime Signals and Systems in the zDomain .
Reference: [1, chapter 6]. Lecture handouts: Lecture 5 (part 2)
 Week 6
 (Tue.) More on DFT and fast transforms.
Reference: [1, chapters 3 & 5]; [2, chapters 9 & 10]. Lecture handouts: Lecture 6 (part 1)
 (Wed.) A voluntary test to earn bonus homework points. See the exercises pages for more details.
 Week 7
 (Tue.) More on convolution, ztransform and filters;
Reference: [1, chapters 3 & 5, 6]; [2, chapters 9 & 10]. Lecture handouts: Lecture 7 (part 1)
 (Wed.) Sample exam.