ECE 5/610: Syllabus

Course Information

Location: URBAN 303

Time: MW 2:00 - 3:50

Units: 4

Contact Information

Instructor: Dr. McNames
Office: FAB 160-12
Office hours: MW 4-5
Email: mcnames@pdx.edu

Class Web Site: http://ece.pdx.edu/~ssp

Catalog Description

Unified introduction to the theory, implementation, and applications of statistical signal processing methods. Focus on optimum linear filters, least squares filters, the Kalman filter, signal modeling, and parametric spectral estimation. Designed to give a solid foundation in the underlying theory balanced with examples of practical applications and limitations.

Prerequisite: ECE 538/638

Textbook

Statistical and Adaptive Signal Processing, Dimitris G. Manolakis, Vinay K. Ingle, and Stephen M. Kogon, Artech House, Inc., 2005, ISBN 1580536107. Many MATLAB functions used throughout the text are available on the web.

Introduction

We will focus on three fundamental topics:

1. Optimum Linear Filters: TBW.
2. Least Squares Estimation: TBW.
3. Parametric Signal Modeling and Estimation: TBW.

Assessment

• 15%: Reading quizzes
• 20%: Homework
• 65%: Project
  • 3% Project proposal
  • 3% Introduction and literature review draft
  • 3% Methodology draft
  • 3% Results draft
  • 3% Discussion draft
  • 5% draft (completeness)
  • 5% peer review (thoroughness)
  • 5% oral presentation
  • 35% final written report

Grading

		A	>94	A-	>90
B+	>87	B	>84	B-	>80
C+	>77	C	>74	C-	>70
D+	>67	D	>64	D-	>60

If a curve is used to determine the final grades, the cutoff for each letter grade will not be higher than the typical cutoffs listed above.

Notes

• Late homework will receive half credit if turned in 1-7 days late. Homework will not be accepted if more than 7 days late.
• You are strongly encouraged to turn in all homework assignments even if they are partially completed. They count for 20% of your final grade.
• Make up exam will only be given if arranged at least 48 hours in advance.
• Copying or cheating in any way will result in a zero for the test or assignment, may receive an F for the course, may be suspended or expelled from the program.