Instructor: A. Antoniou
Office: EOW 408
E-mail: 
Classroom: HHB 120
Lectures: Mondays and Fridays, 2:30-3:50 pm
Office hours: By appointment
Objectives:
• The course will start with a review of the fundamentals of discrete-time
systems and digital filters.
• It will then continue with state-of-the-art methods for the design of
nonrecursive (FIR) and recursive (IIR) digital filters.
• Special emphasis will be placed on designing digital filters that would
satisfy arbitrary prescribed specifications.
• Both closed-form and iterative optimization-based methods will be
studied.
• Emphasis will also be placed on quality report writing.
Textbook:
Digital Signal Processing: Signals, Systems, and Filters
A. Antoniou, McGraw-Hill, 2005
Assignments: 4
Projects: 4
Assessment:
Assignments: 10%
Midterm Exam: 30%
Projects: 60%
Total: 100%
Note: Percentages will be converted according to the Grade Conversion
Guidelines of the Faculty of Engineering.
Prerequisites:
ELEC 407 Digital Signal Processing: II, ELEC 531 Digital Filters: I, or
equivalent
Syllabus:
• Chapter 2 Review of the Fundamentals of Discrete-Time Systems - See
Review, Part I for slide presentation.
• Chapter 3 Review of Time-Domain and Frequency-Domain Analysis of
Digital Filters - See Review, Part II for slide presentation.
• Chapter 6 Review of the Sampling Process - See
Review, Part III for
slide presentation.
• Chapter 9 Design of Nonrecursive (FIR) Filters
• Chapter 10 Review of Analog-Filter Approximations
• Chapter 11 Design of Recursive (IIR) Filters
• Chapter 12 Recursive (IIR) Filters Satisfying Prescribed Specifications
• Chapter 15 Design of Nonrecursive Filters (FIR) Using Optimization
Methods
• Chapter 16 Design of Recursive Filters (IIR) Using Optimization
Methods
Slide Presentations:
• To download slide presentations for ELEC 531 Digital Filters: I or ELEC 631 Digital Filters: II click here .