NUST SCHOOL OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCES(SEECS) Department of Communication System Engineering

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