Department of

Electrical & Electronic Engineering

Independent University, Bangladesh BAETE Accredited

Course Outline
Course Title: Digital Signal Processing LAB
Course Code: EEE 321L
Term and Section: Autumn 2021, Sec-2
Time: Wednesday, 9:30 am- 11:00am

Instructor’s details:
Name: Fauzia Hoque Shorna
Designation: Adjunct Faculty
Email: fauzia.shornasets@iub.edu.bd

Course Rationale:
The main objective of this course is enable the students to have software knowledge regarding the signal
processing methods that they will be learning in theory class. This course will help them to see how the
digital signals are generated and processed in real life by doing lab experiments on their own.

Course Content:
Discrete Fourier transforms: properties of DFT, linear convolution of sequences using DFT, computation of
DFT. Fast Fourier transforms (FFT): Radix-2 decimation in time and decimation in frequency FFT algorithms,
Inverse FFT. Z-transforms: definition, region of convergence, inversion, basic properties, solution of
difference equations, relation of z-transform to discrete time Fourier transform, applications of Z-
transforms, relation between Z-transform and DFS. Filter structure: Basic structures of FIR & IIR systems,
direct & transposed forms, solution of difference equations of digital filters, block diagram representation
of linear constant-coefficient difference equations.

Course Objectives:
The objectives of the course are to:
1. Understand the basic concepts of signals, signal processing, and digital signals;
2. Analyze signal manipulation, signal decomposition, down sampling, folding and shifting.
3. Analyze autocorrelation, cross correlation and impulse response
4. Understand the concepts of Z-transform
5. Analyze sampling, reconstruction and aliasing
6. Analyze Discrete Time Fourier Transform (DTFT)
7. Analyze linear convolution and circular convolution
8. Analyze the design of FIR and IIR filters

Course Outcomes (COs), Program Outcomes (POs), Teaching-Learning and Assessment:

Domain / level
CO Corresponding Delivery methods and
CO Statement of learning Assessment tools
No. PO activities
taxonomy

 Measure the Lab

performance of LTI Simulation Performance
systems by processing
signals using various Psychomotor Experiment Lab reports
PO5: Modern
CO1 techniques through domain – level Practice lab Final lab test
Tool Usage
experiments / simulation 3
(MATLAB / SIMULINK / Group discussion Open ended lab
PSIM / PROTEOUS
software). Tutorial Project report
& presentation

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 Lab
Simulation Performance
 Investigate the
performance of FIR and Psychomotor Experiment Lab reports
PO4:
CO2 IIR filters for specific domain – level Practice lab Final lab test
Investigation
requirements by 4
designing an experiment. Group discussion Open ended lab

Tutorial Project report

& presentation

Assessment and Marks Distribution:

Students will be assessed on the basis of their overall performance in all the exams, quizzes, and class
participation. Final numeric reward will be the compilation of:
 Lab tests and lab reports (30%)
 Final lab test & report (20%)
 Open ended lab & report (20%)
 Project presentation and report (20%)
 Lab Performance & Attendance (10%)

Grade Conversion Scheme:

The following chart will be followed for final grading. This has been customized from the guideline
provided by the Department of Electrical and Electronic Engineering.

A A- B+ B B- C+ C C- D+ D F

90-100 85-89.9 80-84.9 75-79.9 70-74.9 65-69.9 60-64.9 55-59.9 50-54.9 45-49.9 < 45

* Numbers are inclusive

Required Text:
The course will be based mostly on the following book(s):
Digital Signal Processing Using MATLAB, Vinay K.Ingle. John G.Proakis. Northeastern University

Link to Virtual Learning System:

Google Meet Link: https://meet.google.com/lookup/ahwuq5zqsx

Course Policy:
1. It is the student’s responsibility to gather information about the assignments and covered topics
during the Lecture Notes missed. Regular class attendance is mandatory. Points will be taken off
for missing classes. Without 70% of attendance, sitting for final exam is NOT allowed. According to
IUB policy students must enter the classroom within the first 10 minutes to get the attendance.
2. The date and syllabus of quiz, midterm and final exam is already given here, however,
announcements will be given ahead of time. There is NO provision for make-up exams.
3. The reading materials for each class will be available to the online platform prior to that class so
that student may have a cursory look into the materials.
4. Students will be notified in due time for any class cancelation, extra class, make-up class and
tutorial class.
5. Class participation is vital for better understanding of technological issues. Students are invited to
class discussion and raise questions.
6. Students should take tutorials with the instructor during the office hours. Other than the office
hours, prior appointment is required.

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 7. Students must obey the IUB code of conduct and ethical guidelines available in the IUB website
through Green book. Students must read this green book before starting the class.

Audit:
Students who are willing to audit the course are welcome during the first two classes and are advised to
contact the instructor after that.

Note:
Cheating and plagiarism (presentation of another person’s thoughts or words) on exam and assignments
are unacceptable. University policies shall be strictly enforced in this regard.

University Regulation and Code of Conduct:

Please see the Green Book for further information about academic regulation and policies, including
withdrawal and grading, appeals and penalties for plagiarism and academic misconduct.

Students with Disabilities:

Students with disabilities are required to inform the Department of Electrical and Electronic Engineering of
any specific requirement for classes or examination as soon as possible.

Class & Exam Schedule, Topics and Readings:

Sessions Topics Materials

Session – 1 Introduction to EEE 321 Lab Lab manual: EEE 321 Lab -1

Session – 2 Study on Discrete Signals and Systems Lab manual: EEE 321 Lab -2

Session – 3 Study on signal manipulation Lab manual: EEE 321 Lab -3

Study on signal decomposition, down sampling,
Session – 4 Lab manual: EEE 321 Lab -4
folding and shifting
Study on Autocorrelation, Cross correlation and
Session – 5 Lab manual: EEE 321 Lab -5
impulse response
Session – 6 Study on z Transform Lab manual: EEE 321 Lab -6

Session – 7 Study on Sampling and Reconstruction Lab manual: EEE 321 Lab -7
Study on Discrete Time Fourier Transform, Circular
Session – 8 Lab manual: EEE 321 Lab -7
folding and Circular Convolution
Session – 9 Study on FIR filter design Lab manual: EEE 321 Lab -8

Session – 10 Study on IIR filter design Lab manual: EEE 321 Lab -9

Session – 11 Open Ended Lab

Session – 12 Final Lab Test

Session – 13 Project Presentation

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