INTERNATIONAL ISLAMIC UNIVERSITY MALAYSIA
COURSE OUTLINE
Kulliyyah / Institute Engineering
Department / Centre Electrical & Computer Engineering
Programme B. Eng (Electronics – Computer and Information) (Honours)
Name of Course / Mode Digital Signal Processing /Full time
Course Code ECE 3123
Name (s) of Academic
Prof Dr Othman O. Khalifa and Dr Khairul Azami Sidek
staff / Instructor(s)
Rationale for the
Required course for Electronics – Computer and Information
inclusion of the course /
Engineering Programme & Communication Engineering
module in the programme
Semester and Year
Every Semester
Offered
Status Core
Level 3
Proposed Start Date
Batch of Student to be
Affected
Face to Face Assessments
Independent
Total
Learning
Midterm
Practical
Student
Tutorial
Lecture
Total Student Learning
Final
Learning
Time (SLT)
Time
42 2 3 81 128
Credit Value / Hours 3/128
Pre-requisites (if any) ECE 2221
Co-requisites (if any) None
The objectives of this course are:
1. To introduce the student to the digital signal analysis.
2. To understand the discrete-time representation of signals.
Course Objectives
3. To expose the student to the implementation of Discrete-Time
Systems.
4. To understand the concept, properties and uses of the z –
transform
5. To understand the Discrete Fourier transform, Fast Fourier
transform and their significance
6. To provide a background to design digital filters that have
specified frequency characteristics.
7. Apply DSP in many areas of Engineering.
Upon completion of this course, students should be able to:
1. Acquire the major concepts in digital signal processing.
2. Use z-transform and discrete Fourier transform for analyzing
digital signals and systems.
3. Characterize input-output relationships of linear time invariant
Learning Outcomes
discrete-time systems.
4. Apply the fast Fourier transform algorithm in DSP
application.
5. Design digital filters and draw a block diagram of its physical
realization in terms of DSP elements.
Skills and how they are developed and assessed:
Skills Development Assessment
Transferable Skills: Technical Lectures Written Assessment
Analytical Projects Report
Teaching-Learning and
Lectures, Assignments and Quizzes
assessment strategy
Frequency analysis of discrete time signals and systems.
Sampling and reconstruction of signals. Z-transform: properties
and applications to signal processing. Discrete Fourier transform:
Course Synopsis properties, applications and computations methods with emphasis
on fast Fourier transform. Implementation of discrete time
systems. Frequency analysis of discrete time signals and systems.
Design of analog and Digital filters.
Mode of Delivery Lecture,
LO Method %
Assessment Methods and
1,2,3 Mid-term Examination 30
Type/Course Assessement
State weightage of each 1,2,3,4, Final Examination 50
type of assessment. 1,2,3,4 Quiz 10
2,3,4,5 Matlab Assignments 10
Mapping of course / module to the Programme Learning Outcomes
Learning Outcome of the course Programme Outcomes
01 02 03 04 05 06 07 08 09 10 11 12
Acquire the major concepts in digital signal
processing.
Use z-transform and discrete Fourier transform for
analyzing digital signals and systems.
Characterize input-output relationships of linear
time invariant discrete-time systems
Apply the fast Fourier transform algorithm in DSP
application.
Design digital filters and draw a block diagram of
its physical realization in terms of DSP elements
Content outline of the course / module and the SLT per topic
Learning
Weeks Topics Task/Reading
Hours
Introduction: definition of basic elements of DSP system.
Advantages and disadvantages of DSP. Signal
1, 2 representation. Sampling & Sampling theorem and Chapter 1
aliasing. Analog /Digital conversion and reconstruction.
Discrete systems: Discrete time signals and systems.
Classification of discrete time signals and systems.
3 Chapter 2
Representation of discrete systems. Differential equation
of discrete time system. Convolution and correlation.
Z- transform: Definition and properties. Region of
convergence. Poles, Zeros and Z-plane. Inverse of z-
4, 5 Chapter 3
transform. Applications of z-transform in DSP systems.
Frequency domain analysis of Discrete time signals and
systems. Fourier series and Fourier transform. Frequency
spectrum. Discrete Fourier transforms. DFT as a linear
6, 7 Chapter 4
transformation. DFT relationship to the z-transform,
properties of DFT.
Fast Fourier transform: introduction. FFT computation,
Decimation in time FFT, decimation in frequency.
8, 9 Chapter 6
Matrix view of FFT, Split radix of FFT.
Filters: definition, analog filters classification. Practical
10 Chapter 4, 8
analog filters. Design of analog filters
Digital filters. Finite impulse response (FIR) filter.
11, 12 Structures of FIR filters. Structures of Infinite Impulse Chapter 4, 8
filter (IIR).
FIR design by Impulse Response truncation. Gibb’s
Phenomenon. FIR filter design by using windows.
13, 14 Chapter 4, 8
Frequency Sampling filters design. IIR filter design by
Impulse invariant and bilinear mapping.
Required references supporting the course
The reference lists shall be presented in accordance with APA bibliographic practices and in alphabetical order.
Proakis J. G. and Manolakis D. G., (2007), Digital Signal Processing: Principles, Algorithms
and Applications, 3th Edition, Prentice Hall
Recommended references supporting the course
Cavicchi T. J, (2000). Digital Signal Processing. Wiley & Sons.
Couch II L. W., (1997). Digital and Analog Communication System. Prentice
Hall.Proakes J. G. and Manolakes D. G., (1992). Digital Signal Processing Algorithms and
Applications. 2rd Edition, Prentice Hall
Frerking, M. E. , (1994). Digital signal processing in Communication systems. Van Nostrand
Reinhold.
Myers D. G., (1990). Digital signal processing: Efficient Convolution and Fourier Transform
Techniques. Prentice Hall.
Prepared by: Checked by: Approved by:
Prof. Dr Othman O. Assoc. Prof. Dr Teddy Dean
Khalifa Surya Gunawan Kulliyyah of Engineering
Course Coordinator Head of Department
Kulliyyah of Engineering Kulliyyah of Engineering
Programme Learning Outcome (PO): At the end of the programme, Students are able to:
Programme Learning Outcome (PO) MQF Domain
1. Engineering Knowledge (T) -Apply knowledge of mathematics,
sciences, engineering fundamentals and an engineering specialization to
Knowledge
the solution of complex engineering problems;
2. Problem Analysis (T) – Identify, formulate, research relevant
literature and analyze complex engineering problems, and reaching
substantiated conclusions using first principles of mathematics, natural Knowledge
sciences and engineering sciences;
3. Design/Development of Solutions (A) –Design solutions, exhibiting
innovativeness, for complex engineering problems and design systems,
components or processes that meet specified needs with appropriate
Knowledge
consideration for public health and safety, cultural, societal, economical,
ethical, environmental and sustainability issues.
4. Investigation (D) Conduct investigation into complex problems,
displaying creativeness, using research-based knowledge, and research
methods including design of experiments, analysis and interpretation of Practical Skills
data, and synthesis of information to provide valid conclusions;
5. Modern Tool Usage (A & D) -Create, select and apply appropriate
techniques, resources, and modern engineering and IT tools, including
Problem Solving and
prediction and modelling, to complex engineering activities, with an
Scientific Skills
understanding of the limitations;
6. The Engineer and Society (ESSE) -Apply reasoning based on
contextual knowledge to assess societal, health, safety, legal, cultural,
Problem Solving and
contemporary issues, and the consequent responsibilities relevant to
Scientific Skills
professional engineering practices.
7. Environment and Sustainability (ESSE) -Understand the impact of
professional engineering solutions in societal, global, and environmental
Communication, Leadership
contexts and demonstrate knowledge of and need for sustainable
and Team Skills
development;
8. Ethics (ESSE) –Apply professional ethics with Islamic values and
commit to responsibilities and norms of professional engineering code Managerial and
of practices. Entrepreneurial Skills
9. Communication (S) -Communicate effectively on complex
engineering activities with the engineering community and with society
at large, such as being able to comprehend and write effective reports Information Management
and design documentation, make effective presentations, and give and and Lifelong Learning Skills
receive clear instructions;
10. Individual and Team Work (S) -Function effectively as an
individual, and as a member or leader in diverse teams and in multi- Social skills and
disciplinary settings. Responsibilities
11. Life Long Learning (S) -Recognize the need for, and have the Value, Attitudes and
preparation and ability to engage in independent and life-long learning Professionalism
in the broadest context of technological change.
12. Project Management and Finance (S) -Demonstrate knowledge
and understanding of engineering management and financial principles
and apply these to one’s own work, as a member and/or leader in a Information Management
team, to manage projects in multidisciplinary settings, and identify and Lifelong Learning Skills
opportunities of entrepreneurship.
The program learning outcomes (PO) are grouped into 5 general areas to identify the nature of
the skills and capability involved. These groups are:
1. Technical (T) – essential capabilities related to traditional scientific and engineering
knowledge
2. Analysis (A) – creatively working with available data and engineering tools and fundamental
knowledge to correctly solve basic problem
3. Design (D) – being able to perceive the best solution for both small scale and large scale
project by involving all required basic problems
4. Ethics, Safety, Society and Environment (ESSE) - giving appropriate consideration to
matters pertaining to professionalism and ethics, safety, local and global society and the
environment
5. Work skills (S) – being and effective communicator and effective member of a team and to
appreciate the need to continuously acquired skills and abilities.
