NUST
SCHOOL OF ELECTRICAL ENGINEERING AND
COMPUTER SCIENCES(SEECS
)
Department of
Communication System Engineering
C
S
E
-
322
Digital Signal Processing
-
1
Fall
-
200
9
Prerequisite
:
CSE
-
3
10 Signals and Syst
ems
Cr
e
dit
Hour
:
3+
0
.5
Instructor
:
Khalida Noori
Email:
khalida.noori@seecs.edu.pk
Office:
Faculty Block
Tel:
9085
-
2273
Time and Place:
C
R 03
, CR
02
Consulting Hours
:
Wednesday 11:00
-
01
:00 hrs
Lecture Hours:
Any Other Time: By Appointment
via Email
Monday
:
09
:00
-
10
-
50am
, 11
:00
-
11
:50am
Wednesday
:
0
9
:00
-
10
-
50am
, 11
:00
-
11
:50am
Thursday
:
12
:00
-
12
:50pm, 01
:00
-
01
:50p
m
Lab
Hours
:
Tuesday
:
11
:
00
-
01
-
5
0
p
m
Course Objective:
This course would develop a sound understanding of Digital Signa
l Processing, its theoretical background as well as
its applications and implementation design. Based on the fundamentals of “Signals and Systems” this course would
elaborate the time domain as well as frequency domain characteristics of
discrete
time sign
als and systems. Various
important systems (IIR, FIR filters) and efficient
algorithms (
FFT, DCT etc) would be introduced to students.
Books:
Discrete
-
Time Signal Processing
–
Second Edition
By
Alan V. Oppenheim, Ronald W. Schafer with John R. Buck
Di
gital Signal Processing
–
A computer based approach
–
Third edition
By Sanjit K. Mitra
Schaum’s Outlines: Digital Signal Processing
Bye M H Hayes
Digital Signal Processing
–
Principles
,
Algorithms and Applications
–
Third Edition
By John G. Proakis and D
imitris G. Manolakis
Digital Signal Processing
–
Signals,
Systems and Filters
By Andreas Antoniou
Main Topics to be Covered:
Few topics, but subject to change, to be covered are the following:
Di
screte Time Signals And Systems
Z
-
Transform
Sampling o
f Continuous Time Signals
Structures for Discrete Time Systems
Digital Filter Structures
IIR Digital Filter Design
FIR Digital Filter Design
Discrete Fourier Transform
Computation of Discrete Fourier Transform
DSP Implementation
Multirate Digital Signal Pr
ocessing
Applications of Digital Signal Processing
(All highlighted items are core components of course. Others are optional and would be covered based on time
availability)
Weightage
Quizzes
:
10%
One Hour Tests
:
30
%
Assign
ments
and La
b work
:
10
%
Semester Project
:
10
%
Final Test
:
4
0
%
Grading
Policy
Quiz policy
The quizzes will be unanno
unced and normally last for 10 to 30
minutes. The question framed is to test the concepts
involved in last lecture. It will be the instruc
tor’s will to choose the number of quizzes for evaluations purposes.
Conduct of Labs
Labs are mandatory. Lab attendance and Lab assignments would count for 10% of overall grades.
Assignments
In order to give practice and comprehensive understanding
of subject, home assignments will be given. The students
are advised to do the assignment themselves. Copying of assignment is highly discouraged and taken as cheating case and will
be
forwarded for disciplinary action. The questions in assignment are mor
e challenging to give students the confidence and
extensive knowledge about the subject and enable them to prepare for the exams.
Tools / Software requirements
Matlab as a visualization tool to see the practicality of c
oncepts studied during course
–
Co
de Composer Studio would be used for programming TI DSP Kits TMS320C6713
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