EEweb Home     ::     Graduate Courses     ::     Undergraduate Courses     ::     My Home

Course Description Form

Course number and title: EE212A Theory and Design of Digital Filters
Credits: 4
Instructor(s)-in-charge: A. Willson (willson@ee.ucla.edu)
Course type: Lecture
Required or Elective: A Signals and Systems course.
Course Schedule:
Lecture: 3 hrs/week.
Dicussion: 1 hr/week.
Outside Study: 8 hrs/week.
Office Hours: 2 hrs/week.
 
Course Assessment:
Homework: Several assignments.
Exams: 1 midterm and 1 final examination.
 
Grading Policy: Typically, 35% midterm and 65% final.
Course Prerequisites: EE 113
Catalog Description: Approximation of filter specifications. Use of design charts. Structures for recursive digital filters. FIR filter design techniques. Comparison of IIR and FIR structures. Implementation of digital filters. Limit cycles. Overflow oscillations. Discrete random signals. Wave digital filters.  
Textbook and any related course material:
Digital Signal Processing, S. K. Mitra, 4th ed., McGraw-Hill, 2010
 
Course Website
Topics covered in the course:
Design of IIR filters from analog filters.
Design of linear phase FIR filters.
Nonlinear effects of finite wordlegnth implementations of digital filters; limit cycles and overflow oscillations.
Statistical analysis of roundoff noise in digital filters.
Wave digital filters; state-space structures for digital filters.
Will this course involve computer assignments? NO Will this course have TA(s) when it is offered? NO

:: Last modified: February 2013 by J. Lin ::

Copyright © 2003 UCLA Electrical and Computer Engineering Department. All rights reserved.
Please contact eeweb@ee.ucla.edu for comments or questions for the website.