SEMESTER 1, 20082009

1
Welcome!

• SEMESTER 1, 2008/2009
• Faculty of Electrical Electronics Engineering
  (FKEE)

2
Agenda to Be Covered

• - Course Information
• Course and Lecturer
• Synopsis
• General objective
• Syllabus
• References
• Assessments

2
3
Agenda to Be Covered (cont)

• - Class Hours
• - Classroom Policies
• Attendance Policies
• Classroom Conduct
• - Academic Honesty
• - Grading
• - Grading Timetable
• - QA

3
4
Course and Lecturer

• Course
• BEE 4413 Digital Signal Processing
• 3 Credit Lecture 3 hours,
• Lab 2 hours
• Lecturer
• NOR FARIZAN BINTI ZAKARIA
• FKEE
• Phone [phone]
• E-mail norfarizan_at_ump.edu.my
• Office A1-02-07

5
SYNOPSIS

• This subject introduces students to the
  fundamental principles of Digital Signal
  Processing includes the sampling theorems,
  z-transform, analysis of Linear Time-Invariant
  Systems, Discrete-Time Systems structures, Filter
  design and Discrete Fourier Transform. The
  subject also exposes students to computational
  tools (MATLAB, LabVIEW Digital Signal
  Processors) in solving engineering problems
  related to DSP and how to implement the real-time
  systems.

6
Course Outcomes

• At the end of this course, the students
• will be able to
• CO 01 Apply DSP solution for Electrical and
  Electronics problems.
• CO 02 Demonstrate use of DSP in Filter design
  and Spectrum estimation.
• CO 03 Describe the DSP fundamental theory and
  components
• CO 04 Illustrate and implement real-time DSP
  principles using MATLAB, LabVIEW DSP
  Processors.

7
SYLLABUS

• Introduction to Discrete Signals (3 Hours)
• Discrete-Time Signals and Systems (3
  Hours)
• Sampling Theorems (3 Hours)
• z-Transform (6 Hours)
• Transform analysis of LTI Systems (6 Hours)
• Discrete-Time Systems (6 Hours)
• Filter Design (6 Hours)
• Discrete Fourier Transform (DFT) (6 Hours)
• Advance Digital Signal Processing (3
  Hours)

8
REFERENCES

• Sanjit K. Mitra, Digital Signal Processing,
  McGraw-ill, 3rd Ed., 2005.
• Alan V. Oppenheim, Ronald W. Schafer,
  Discrete-Time Signal Processing, 2nd Ed.,
  Prentice Hall, 1999.
• John G. Proakis, D.G. Monolakis, Digital Signal
  Processing Principles, Algorithms and
  Applications, 3rd Ed., Prentice Hall, 1996.
• James H.McCellan, Ronald W. Schafer, Mark A.
  Yoder,Signal Processing First, Prentice Hall,
  2003.

9
REFERENCES

• Sen M.Kuo, Woon Seng Gan, Digital Signal
  Processors Architectures, Implementations and
  Applications, Prentice Hall, 2005.
• Samueal D. Stearns, Ruth A. David, Signal
  Processing Algorithms in MATLAB, Prentice Hall,
  1996.
• Vinay K. Ingle, John G. Proakis, Digital Signal
  Processing using MATLAB, 2nd Ed., Thomson, 2007.
• Nasser, Kehtarnavaz, Namjin Kim, Digital Signal
  Processing System-Level Design Using LabVIEW,
  Elsevier, 2007.
• URL http // www.DSPguide.com

10
ASSESSMENT

• Final grade will be calculated as
• follows
• Assignment 5
• Quiz 10
• Test 30
• Laboratory 15
• Final Examination 40
• Total 100

11
CLASS HOURS

• Lecture
• - 11.00 12.50 PM
• (Wed) WDK30
• - 12.00 12.50 PM
• (Thur) WDK31
• Lab
• - 4.00 5.50 PM
• (Mon) FKE13

12
CLASSROOM POLICIES

• Attendance Policies
• Each student is compulsory (100) to attend all
  classes including lectures, tutorials,
  laboratories, and fieldwork for each registered
  class, including the first class session, in
  order to verify registration with instructors,
  and to complete all work assigned for the course.
• If students do not attend the class and do not
  give prior notification to the instructor of
  reasons for absence and intent to attend the
  class, the student shall be dropped from the
  course.
• Instructors of courses are not obligated to
  provide make-up opportunities for students who
  are absent, unless the absence has been
  officially approved. An officially approved
  absence, however, merely gives the individual who
  missed the class an opportunity to make up the
  work and in no way excuses him from the work.

13
CLASSROOM POLICIES

• Classroom Conduct
• All students in the class must treat others with
  civility and respect and conduct themselves
  during class sessions in a way that does not
  unreasonably interfere with the opportunity of
  other students to learn. Failure to comply with
  this requirement may result in points being
  deducted from a students final numerical
  average/soft skills.

14
ACADEMIC HONESTY

• Your written assignments, lab and examinations
  must be your own work.
• Academic Misconduct will not be tolerated.
• To insure that you are aware of what is
  considered academic misconduct, you should review
  carefully the definition and examples provided in
  Student Handbook.

15
Grading

• Marks will be given for quizzes, tests,
  laboratories conduct and reports, assignments,
  presentations and final exams.
• Marks will also be given for class activities
  that require co-operative learning and peer
  evaluations.
• Grading will follow CGPA Grading System
• Passing marks is 40

15
16
Grading Timetable

• Quizzes After every chapter
• Tests
• Test 1 Week 6
• Sampling Theorem, z-Transform
• Test 2 Week 13
• LTI System, Discrete-time System, Filter Design
• Assignments
• At least 5
• Tutorial based
• Answers not solution will be given after dateline

16
17
Grading Timetable (cont)

• Laboratories
• 2 Labs
• Project-based laboratory Assignment
• One for each half semester
• Final exam
• Covered all chapter.
• 4 Nov 2008

17
18
QA