Course Details

1. Course Name: Digital Signal Processing Course Code: EE3240 Course Credits: 3(3,1,0) Pre-requisite: EE3010 Instructor: Course Details • Dr.MedienZeghid • Eng Mohamed El Ansi

2. Assesment Method Quantity (%) Quiz - 05 Homework - 05 Midterm Exam(s) 2 30 Project 10 Final Exam 1 50

3. Course Outline 1. Introduction. Mathematical Representation of Signals. Mathematical Representation of Systems. • 2. Signals and Signal Processing • Characterization and Classification of Signals, Typical Signal Processing Operations , Examples of Typical Signals, Typical Signal Processing Applications, Why Digital Signal Processing?. • 3. Discrete-Time Signals and Systems Discrete-Time Signals, Typical Sequences and Sequence Representation, Discrete-Time Systems, Time-Domain Characterization of LTI, Correlation of Signal • 4. Digital Processing of Continuous Time Signals • Sampling of Continuous-Time Signals, Sampling of Bandpass Signals, Analog Lowpass Filter Design, Anti-Aliasing Filter Design, Reconstruction Filter Design 5. Finite Length Discrete Transforms • The Discrete Fourier Transform, Relation Between the Fourier Transform and the DFT, and Their Inverses, DFT Symmetry Relations, Discrete Fourier Transform Theorems • 6.z-Transform • Definition and Properties, Rational z-Transforms, Region of Convergence of a Rational z-Transform , The Inverse z-Transform, z-Transform Properties, The Transfer Function

4. Course Outline • 7.LTI Discrete-Time Systems in the Transform Domain • Transfer Function Classification Based on Magnitude Characteristics, Transfer Function Classification Based on Phase Characteristics , Types of linear-Phase Transfer Functions, Inverse Systems • 8. Digital Filter Structures and Design • Block Diagram Representation, Basic FIR Digital Filter Structures, Basic IIR Digital Filter Structures, FIR Filter Design, IIR Filter Design • 9. Implement, apply and evaluate simple DSP applications in MATLAB.

5. COURSE OBJECTIVE • Students will be able to: • Understand mathematical descriptions of digital signal processing algorithms • Express those algorithms as computer implementations (MATLAB)

6. Main course books • Digital Signal Processing: A Computer Based Approach, foruth edition • By Sanjit K. Mitra • Published by Mc Graw Hill, Isbn:

7. Main course books Signal Processing First by James H McClellan, Ronald W. Schaffer and Mark A. Yoder. Published by Prentice Hall. Isbn: 0-13-120265-0

8. Some Recommended Books • Understanding Digital Signal Processing by Richard G. Lyons. • Theory and Application of Digital Signal Processing by Rabiner and Gold. A comprehensive, industrial-strength DSP reference book. • Digital Signal Processing by Alan V. Oppenheim and Ronald W. Schafer. Another industrial-strength reference. • Digital Signal Processing by William D. Stanley.

9. Rules of the Conduct • No eating /drinking in class • except water • Cell phones must be kept outside of class or switched-off during class • If your cell-phone rings during class or you use it in any way, you will be asked to leave and counted as unexcused absent. • No web surfing and/or unrelated use of computers, • when computers are used in class or lab.

10. Rules of the Conduct • You are responsible for checking the class web page often for announcements. • Academic dishonesty and cheating will not be tolerated and will be dealt with according to university rules and regulations • Presenting any work, or a portion thereof, that does not belong to you is considered academic dishonesty. • University rules and regulations: • http://www.sau.edu.sa/emada/30/675

11. Attendance Policy • The requirement for attendance is 75%. • Hospital reports are not accepted to fulfill the requirement for attendance less than 50% • The students, who fail to fulfill the attendance requirement, will be excluded from the final exams and the grade of F will be given. • Students with attendance more than 75% are eligible for participation degree