First Semester 1437-1438H
Digital Signal Processing
543 – Digital Signal Processing (3-0-0), Masters Course
Course Description (catalog):
linear time invariant systems, discrete time signals, discrete Fourier transforms
(DFT), Fast Fourier transforms (FFT), Z-transforms, design of finite impulse
response filter (FIR) and Infinite impulse response filter (IIR), adaptive
filters, application on audio and image processing.
Textbook(s) and/or Other Required
Primary: A. V. Oppenheim and R. W.
Schafer, Discrete-Time Signal Processing, Third Edition, Prentice Hall.
(1) Li Tan, Digital Signal Processing: Fundamentals and Applications,
2008, AP, Elsevier, (2) Steven W. Smith, The Scientist and Engineer's Guide
to Digital Signal Processing, 1997, California Technical Publishing.
Pre-requisite: CEN 340 Signals and systems.
Course Learning Objectives: This course is designed to help the
Realize sampling and quantization on digital signals.
Perform discrete convolution and correlation.
Analyze signals using DFT and FFT.
Analyze signals using Z-transform.
Implement digital filters.
Apply filters in speech and image signal processing.
& Unannounced Quizzes
Mid-Term: Monday 11/4/2016 from 1:00 PM-3:45 PM.
registered students should have the background for this course which is either
they have successfully passed the prerequisite CEN340 (Signal and Systems)
or their B.Sc. is in the computer
engineering (or in the electrical engineering).
Kalman filter for object tracking
removal and smoothing in digital images (Spatial Domain)
removal and smoothing in digital images (Frequency Domain)
Design and simulation of Direct
sequence spread spectrum (DSSS)
system using MATLAB
image compression using Huffman coding
"Object Detection and
Identification Based on Feature Matching"
Steps of the project:
Introduction to the problem to be studied+ Literature review,
Analyze the results,