EE325: Digital Signal Processing

To provide understanding of the fundamental concepts and tools required to analyze the behavior and characteristics of digital signals and discrete time systems.

NO. OF CREDITS: 3
COMPULSORY/OPTIONAL: COMPULSORY
PREREQUISITES: EE257

MAIN TOPICS AND INTENDED LEARNING OUTCOMES

TOPICS

Introduction to Discrete and Digital Signals and Systems

Time Domain Analysis

z-Transform

Discrete Time Systems

Stability of Discrete Time Systems

Frequency Domain Analysis

IIR and FIR filter design

Spectral Estimation

Student will be able to,

ILO1: Interpret effects of sampling and its effect on signals and systems.

ILO2: Interpret the time domain characteristics of discrete time systems.

ILO3: Interpret the characteristics of discrete time systems using the z-transform.

ILO4: Interpret the frequency domain characteristics of discrete time systems.

ILO5: Design digital filters for given specifications.

NO	RECOMMENDED TEXT
1	J. G. Proakis, D. G. Mano lakis, Digital Signal Processing: Principles, Algorithms, and Applications
2	A. V. Oppenhein, R. W. Schafer, Digital Signal Processing

TIME ALLOCATION	HOURS
Lectures	34
Tutorials	4
Assignments/Mini Project	6
Laboratories	4

ASSESMENT	PERCENTAGE
Assignment	10
Laboratory Work	10
MID Semester Evaluation	30
END Semester Exam	50