CSc 8270 Digital Signal Processing
Syllabus

Fall Semester 2017
Classroom: Aderhold room 230
Time: 2:50 - 4:35 p.m. Mondays and Wednesdays
Credits: 4 hours

Instructor: Dr. Michael Weeks
Computer Science Department
Office: 25 Park Place (formerly the SunTrust building), room 754
Office Hours: 1:30-2:30 MW

web-page: http://hallertau.cs.gsu.edu/~mweeks

Teaching assistant: Unish Shah
e-mail: unishshah @ gmail dot com
TA's Cubicle: 0650R (6th floor 25 park place)
TA's Office Hours: 3:50 to 5:50 on Thursday and 11:45 to 12:45 on Friday

See Attached Calendar

TEXTS
required:
Michael Weeks, Digital Signal Processing Using MATLAB and Wavelets, second edition, Jones and Bartlett Publishers, 2010, ISBN: 978-0763784225.
These are recommended:
Richard Lyons, Understanding Digital Signal Processing, Addison-Wesley, 1997, ISBN 0-201-63467-8 (Recommended).
Strang and Nguyen, Wavelets and Filter Banks, Revised Edition, Wellesley-Cambridge Press, 1997, ISBN 0-9614088-7-1 (Recommended).

TOPICS

• Topic - primary reading, other recommended reading(s)
• Introduction - Weeks Ch 1, Lyons Ch 1
• MATLAB - Weeks Ch 2
• Applications - Weeks Ch 10
• Sampling - Weeks Ch 5, Lyons Ch 2
• Fourier Transforms (DFT) - Weeks Ch 6, Lyons Ch 3
• FIR filters - Weeks Ch 3, Lyons Ch 5, Strang Ch 4
• IIR filters (briefly) - Weeks Ch 3, Lyons Ch 6
• Z transform - Weeks Ch 7, Lyons Ch 6
• Downsampling and Upsampling - Strang Ch 3
• Filter Banks - Strang Ch 4 (Time permitting)
• Haar Wavelet - Weeks Ch 8, Strang Ch 5 (Time permitting)
• Orthogonal Filters - Strang Ch 5 (Time permitting)
• Multiresolution - Weeks Ch 8, Strang Ch 6 (Time permitting)
• Wavelet Theory - Weeks Ch 9, Strang Ch 7 (Time permitting)
• Selected Research Papers

* Time permitting means that we probably will not have the time to cover these topics with as much detail as the book. However, all of these topics will be covered. For example, the Haar Wavelet is covered in Strang's Chapter 5, but it is also covered briefly in earlier chapters.

PREREQUISITES
CSc 4210/6210 Computer Architecture, or permission of instructor

CONTENT
The nature of information, signals, transforms, applications. Topics include periodic sampling, Fourier transforms, finite impulse response filters, signal averaging, the Haar transform, and the wavelet transform.

My assumptions :
  You are here to learn the topic as best you can
  You will give your best effort
  You will read the book
  You will come to class on time and stay to the end
  You will pay attention and communicate
  You will use class time for class-related activities only

Instruction, Research, and Service are the three main components of a university.
  How will you serve this class?

GRADING

• Grade base
The nature of the course is that complex questions often have simple, elegant answers. However, a simple answer with no detail is of little value, especially if it is incorrect. Therefore, every answer that you give for this class, including homeworks, quizzes, and tests, should include an explanation on how you arrived at your answer, assumptions that you made, any other considerations, and how you know that your answer is correct. Expect to lose points if the explanation is insufficient. Expect to lose points if you do not staple your work when it exceeds a page. Also, we will consider things including presentation, neatness, legibility, and professionalism when grading your work. Your work may lose points if it is found lacking.
• Participation and Attendance (and paying attention) will constitute 5% of the course grade.
• A mid-term exam will constitute 20% of the course grade.
• Any Quizzes will factor into the exam grade at 1/10 the weight of the exam.
• Approximately 4 Assignments will constitute 40% of the course grade. (There will be at least 3 assignments, maybe as many as 6). Assignments will include a paper summary, and a literature review. These may be in several parts or forms, such as requiring a written paper, an in-class presentation, a question-answer session, and potentially a video.
• The project will constitute 35% of the course grade. This includes several reports and/or in-class presentations (e.g. a project proposal, a mid-semester update, and a final presentation).