Class Section
📌Section 01
Time: Tuesday/Thursday
2:00 PM - 3:15 PM
Location: F3-034
🏢Office Hours
Days: Tuesday/Thursday
Time: 11:00 AM - 12:00 PM
Office: F1-1175
Course Overview
🎯 Course Description
Overview of discrete-time signals and systems, representation of discrete-time systems by means of difference equations. Analysis of discrete-time signals and systems using Fourier and z-transforms. The sampling theory of continuous-time signals, digital processing of continuous-time signals using A/D and D/A conversion. Transform-based analysis of linear time-invariant (LTI) FIR and IIR systems and their structures. Discrete Fourier transform (DFT) and fast algorithms for its computation. FIR and IIR digital filter design.
📚 Required Textbook
Sanjit K. Mitra
Digital Signal Processing – A Computer Based Approach
4th Edition, McGraw Hill, 2011
📋 Prerequisite Requirement
ECOM 360 (Signals and Systems) with a minimum grade of D
Course Learning Outcomes
Upon successful completion of this course, students will be able to:
Discrete-Time Signals & Systems
Describe discrete-time signals and systems as mathematical functions and transformations, respectively.
PLO-1z-Transform Analysis
Apply z-Transform for the analysis and design of DSP systems.
PLO-1DTFT Applications
Apply Discrete-Time Fourier Transform (DTFT) in the analysis of discrete-time signals and systems.
PLO-1DFT Applications
Apply Discrete Fourier Transform (DFT) in the analysis of discrete-time signals and systems.
PLO-1Filter Fundamentals
Identify basic filters' design and their structures.
PLO-2Digital Filter Design
Design FIR and IIR digital filters using various techniques, and realize using various structures.
PLO-2Course Topics
- Week 1: Introduction to DSP Introduction to digital signal processing and its applications in communications, audio, image processing, and control systems
- Weeks 2-3: Discrete-Time Signals and Systems Discrete-time signals and systems, convolution sum, correlation, and their properties
- Week 4: Discrete-Time Fourier Transform DTFT definition, properties, frequency response of LTI systems, and spectral analysis
- Weeks 5-6: Digital Processing of Continuous-Time Signals Sampling theory, aliasing, reconstruction, A/D and D/A conversion, practical considerations
- Weeks 7-8: Discrete Fourier Transform DFT and its properties, relationship to other transforms, FFT algorithms and efficient computation
- Weeks 9-10: z-Transform z-Transform definition, properties, inverse z-transform, ROC, and system analysis
- Week 11: LTI Systems in Transform Domain Discrete-time LTI systems in the transform domain, transfer functions, stability analysis
- Weeks 12-15: Digital Filter Design Basic digital filter structures, FIR and IIR filter design techniques, realization structures, implementation considerations
Assessment & Grading
⚠️ Important Policies
- Attendance: Students who miss 15% of classes will be awarded an "FA" grade
- Academic Integrity: Plagiarism and cheating result in serious penalties including dismissal from the university
- Feedback: Regular feedback on progress will be provided to help improve performance
- Rubrics: Will be provided for grading direct assessment works such as reports and assignments
Learning Resources
Instructional Materials: Textbook, lecture slides, handouts, MATLAB software, e-learning (Blackboard), Smart Board instructions.
📝Course Materials
All lecture slides, handwritten notes (iPad), and supplementary materials available on Blackboard at the start of the semester.
Access Blackboard Updated Weekly🎥Video Lectures
Complete recorded lectures from MS Teams and YouTube channel for flexible learning and review.
Watch on YouTube 24/7 Access💻MATLAB Resources
Sample codes, hands-on tutorials, programming exercises, and MATLAB assignment materials to reinforce theoretical concepts.
MATLAB Tutorial 5% of Grade🐍Python Resources
Python tutorials using NumPy, SciPy, and Matplotlib for DSP implementation, signal analysis, and filter design visualization.
Python Tutorial Alternative🎧Multi-Format Content
Podcasts, mental maps, and video overviews generated using NotebookLM for diverse learning styles.
Explore Formats New!📖Main Textbook
Sanjit K. Mitra - Digital Signal Processing – A Computer Based Approach, 4th Edition, McGraw Hill (2011)
Book Info Required🔬Interactive Tools
GeoGebra applications and Python visualizations for understanding DSP concepts like FFT, filtering, and system responses.
Try GeoGebra InteractiveCommunication & Support
💬WhatsApp Group
Join the course WhatsApp group for instant communication, questions, and discussions available 24/7.
Join Group👥MS Teams Class
Access recorded lectures, participate in discussions, and submit assignments through MS Teams.
Open Teams⏰Office Hours
In-person and virtual office hours available for one-on-one support and clarification.
Book AppointmentTips for Success
📌 Recommended Study Strategy
- Before Class: Review the posted lecture slides to familiarize yourself with DSP topics
- During Class: Actively participate, take notes, and ask questions about transform techniques
- After Class: Watch recorded lectures for review and practice filter design problems
- Weekly: Complete assignments early and work through MATLAB examples
- Hands-On: Practice with MATLAB code examples for DFT, FFT, and filter implementation
- Visual Learning: Use visualizations to understand frequency domain concepts
- Build on Prerequisites: Review ECOM 360 concepts as DSP builds directly on them
⚡ Key Topics to Master
- z-Transform: Essential for system analysis - practice ROC determination
- DFT/FFT: Understand the relationship between time and frequency domains
- Filter Design: Both FIR and IIR methods are crucial for the final exam
- Sampling Theory: Nyquist theorem and aliasing effects are fundamental
- MATLAB: Hands-on implementation reinforces theoretical concepts
Contact Information
Dr. Mohammad Al Bataineh
Email: mffbataineh@uaeu.ac.ae
Office: F1-1175
Phone: +971 3 713 5146
Website: Faculty Page
Office Hours
Days: Tuesday & Thursday
Time: 11:00 AM - 12:00 PM
Location: F1-1175
Also available via email appointment and WhatsApp group
Additional Support
♿ Special Needs Services
Students with special needs should contact the Special Needs Services Center for accommodations.
Phone: +971 3 713 4264
Email: disabilityservices@uaeu.ac.ae
📚 Student Academic Success
Access academic support services including Independent Learning Centers, Tutorials, Writing & Speaking Centers.
Visit SASP⚖️ Academic Integrity
Review the UAEU Code of Academic Honesty for policies on plagiarism and academic misconduct.
View Policy