EELE477: Digital Signal Processing

Instructor

Prof. Robert C. Maher

Textbooks and Materials

1.  DSP First: A Multimedia Approach, McClellan, Schafer, and Yoder, Prentice-Hall, 1998.  Please put your name in your textbook in case the book is misplaced.

2. The textbook contains a CDROM that contains labs 1-10 that we will be using in the course.  It is expected that you will print out and read these labs before coming to the laboratory.

Class Objectives

To produce graduates who understand how to analyze and manipulate digital signals and have the fundamental Matlab programming knowledge to do so.

Course Outcomes

At the conclusion of EELE 477, students will be able to:

<![if !supportLists]>         <![endif]>Describe the Sampling Theorem and how this relates to Aliasing and Folding.

<![if !supportLists]>         <![endif]>Determine if a system is a Linear Time-Invariant (LTI) System.

<![if !supportLists]>         <![endif]>Take the Z-transform of a LTI system

<![if !supportLists]>         <![endif]>Determine the frequency response of FIR and IIR filters.

<![if !supportLists]>         <![endif]>Understand the relationship between poles, zeros, and stability.

<![if !supportLists]>         <![endif]>Determine the spectrum of a signal using the DFT, FFT, and spectrogram.

<![if !supportLists]>         <![endif]>Design, analyze, and implement digital filters in Matlab.

<![if !supportLists]>         <![endif]>Explain the typical features of a digital signal processing chip.

Class Outline (subject to change)

• Course introduction: Expectations, lab resources, protocol.
• Sinusoids, discrete-time signals, complex exponentials, phasors (2 weeks)
• Sampling (2 weeks)
• Discrete-time system properties (2 weeks)
• FIR filters, simple LTI systems (1 week)
• Frequency response (2 weeks)
• z-transforms (2 weeks)
• IIR filters (2 weeks)
• Discrete Fourier Transform and FFT (1 week)
• Practical topics (2 weeks)

Lab Schedule (subject to change)

	Thurs	Jan 12	No lab this week
1	Thurs	Jan 19	Introduction to Matlab
2	Thurs	Jan 26	Introduction to Complex Exponentials
3	Thurs	Feb 2	Synthesis of Sinusoidal Signals
4	Thurs	Feb 9	AM and FM Sinusoidal Signals
5	Thurs	Feb 16	FIR Filtering of Sinusoidal Waveforms
	Thurs	Feb 23	No lab this week
6	Thurs	Mar 1	Filtered Sampled Waveforms
7	Thurs	Mar 8	Everyday Sinusoidal Signals
	Thurs	Mar 15	No lab this week (spring break)
8	Thurs	Mar 22	Filtering and Edge Detection of Images
	Thurs	Mar 29	Filtering and Edge Detection of Images (cont.)
9	Thurs	Apr 5	Sampling and Zooming of Images
10	Thurs	Apr 12	The z, n, and w Domains
11	Thurs	Apr 19	DSP Hardware
	Thurs	Apr 26	No lab this week

Course Grading:

Grade guarantee:  point percentage grade ranges will not be higher, but may be lower, than indicated by the following scale:

A range  = 90-100%
B range = 80-89%
C range = 70-79%
D range = 60-69%
F = 59% or less

Policies

• A course grade of F will be given if you do not attend both midterm exams and the final exam, regardless of the accumulated point total.

• Department policy requires that you receive a passing lab grade to pass this course.

• You are responsible for all material covered in class and in the textbook reading assignments.
• You are expected to keep a clean lab area and return items to their proper place. Equipment is expensive and is provided for your learning experience. Please conduct yourselves appropriately.  Abusive behavior toward the lab equipment, other students, or the instructor, will result in summary dismissal from the course.
• Late submissions of assignments (homework and lab papers) will not be accepted. Plan ahead and notify the instructor prior to justifiable absences, or if a bona fide emergency prevented you from attending class.
• Please note that many of the lab assignments depend upon earlier labs:  even if you miss a lab or get a zero score because you do not turn in the lab assignment on time, you will still need to be responsible for the material in order to complete subsequent lab assignments.
• Among other details, Section 310.00 in the MSU Conduct Guidelines states that students must be prompt and regular in attending classes, be well prepared for classes, take exams when scheduled, and act in a respectful manner toward other students and the instructor.
• Academic Misconduct:  Unless group work is explicitly assigned, lab papers, homework, and exams must be prepared individually. Although you may work with a lab partner during the lab period, your lab report must be prepared individually.  Submitting collaborative assignments, downloading solutions from the web, or presenting the work of others as your own without express permission IN ADVANCE from the instructor is dishonest and grounds for filing an academic misconduct form and/or dismissal from the course.  Paraphrasing or quoting another's work, either with or without citing the source, is also unacceptable in this class.  Even casual misuse or appropriation of another's work (such as relying heavily on source material that is not expressly acknowledged) is plagiarism. If you have any questions about using and citing sources, you are expected to ask for clarification.  Let there be no doubt about the academic integrity policy for this class.  I am not joking about this:  I have submitted misconduct forms in the past and I will do so again if I encounter academic dishonesty.
• If you have a documented disability for which you are or may be requesting accommodations, you are welcome and encouraged to participate fully in this class!  Please contact the instructor and the MSU Office of Disability, Re-Entry and Veteran Services  as soon as possible.
• All records related to this course are confidential and will not be shared with anyone, including parents, without a signed, written release from the MSU Dean of Students.  For more information contact the Dean of Students office at 994-2826.