Instructor: Dr. Phillip De Leon, Goddard Annex 160G, (505) 646-DSP1 (3771),
Date and Time: Lecture M, W, F 10:30 - 11:20am (T&B307), Presentation Period: Th 3:50 - 5:50pm (T&B307)
Office Hours: M, W 3:00 - 4:00pm and by prior appointment
Advanced level study of linear systems and associated mathematical theory including linear equations, spectral theory, normal matrices, projections, quadratic forms, discrete and continuous time dynamical systems.
M480 Vector Spaces and Matrix Algebra or equivalent undergraduate course Linear Algebra.
Required: Advanced Linear Systems by C. T. Mullis (available at Kinko's Copies, University Ave.)
Optional: Matrix Analysis by R. A. Horn and C. R. Johnson
Optional: Matrix Analysis and Applied Linear Algebra by C. D. Meyer
EE555 Web Page
http://www.ece.nmsu.edu/~pdeleon/Teaching/EE555/
EE555 Email Distribution List
TO: listproc@nmsu.edu
BODY: subscribe ee555 YOURFIRSTNAME YOURLASTNAME
The objective of this course is to provide students a solid foundation in linear algebra and matrix analysis--the language of Communications, Control, and Signal Processing theory. Such a foundation will greatly assist students in understanding research articles in journals such as the IEEE Transactions on Communications and IEEE Transactions on Signal Processing and also to conduct independent research. This objective is achieved through an advanced level understanding of essential algebraic, structural, and numerical properties of linear equations and systems.
Advanced Linear Systems is a core course for graduate study in Communications, Digital Signal Processing, and Telemetering. Students in EE555 will practice and apply theory learned in class through assigned homework and in-class discussions. This will provide students with a broadening of their knowledge base in applying mathematical techniques to the 1) design and analysis of communications systems and 2) processing and analysis of signals; this will provide a basis for career employment. Discussion of design issues relate the class theory to practical societal issues. Class provides 3 credits of graduate credit.
Advanced Linear Systems provides a mathematical foundation for advanced level study in Communications, Digital Signal Processing, and Telemetering. This will allow students to further explore their graduate specialty and perform independent research.
Phillip De Leon, February 3, 2005
Homework – There will be weekly assignments using problems chosen from the text (Mullis). Worth 30% of the final grade. It is expected these problems will be solved in cooperation with your peers and/or Prof. De Leon. Late homework is not accepted except in the case of an absence due to a medical or other very serious reason.
Presentations – There will be weekly presentations of individually selected problems chosen from the text (Mullis). Worth 20% of the final grade. It is expected that these problems will be solved on an individual basis with possible assistance from Prof. De Leon. Students will present their solution during a presentation period. Absence from presentation period is not accepted except in the case of a medical or other very serious reason.
Bonuses – Significant critique of presentations (pointing out incorrect assumptions or flaws in the proof) will be eligible for bonus points of up to 5% per incident up to a maximum of 10% of the final grade.
Exams – There will be mid-term and final exams during the semester testing knowledge of the subject material. Each exam is worth 25% of the final grade.
We highly encourage you to discuss homework problems (not problems for oral presentation) with your peers and Prof. De Leon. This discussion could include among other things, various approaches to a homework problem and various theoretical insights. Be aware however, that all submitted solutions to homeworks must be written by the individual. There is to be no "sharing" of solutions. Evidence of peer cooperation or help for individual problems for oral presentations will result in a zero for the problem. Any plagiarism or cheating will result in an automatic F in the course.
Please see Services for Students with Disabilities (SSD) web page.
The topics covered in this course are described in the Course Outline section of this syllabus.
The class schedule is provided in the Course Outline section of this syllabus.