Introduction to Signal Analysis

ECE 201

Fall 2019
Instructor
Dr. B.-Peter Paris
Nguyen Engineering Building Room 3205
Tel.: (703) 993-1559
e-mail: pparis@gmu.edu
WWW: http://www.spec.gmu.edu/~pparis
Time and Place
Tuesday and Thursday, 10:30-11:45am, Exploratory Hall, room L004.
Office Hours
Tuesday 2:00-3:00 pm and Wednesday 1:00-2:00 pm or by appointment.
Course Goals
This course introduces students to key concepts in Electrical Engineering, including the description of signals in the time and frequency domains. Students will learn the fundamental role played by sinusoidal or complex exponential signals for connecting these domains. Students will learn properties of signal processing systems, including linearity and time-invariance, and the operation of linear, time-invariant systems in the time and frequency domains.
Required Textbook
J.H. McClellan, R.W. Schafer, and Mark A. Yoder, DSP First -Second Edition, Pearson, 2016.
Lab
Four lab sections meet once a week in the Engineering Building. Lab experiments are designed and intended to complement material discussed in class. Students are expected to be well prepared for the lab sessions to maximize the use of time in the lab.
Recommended Further Reading
https://www.mathworks.com/help/matlab/
Homework
will be assigned every week and is due the following week. You are permitted and encouraged to work on the assignments in small groups; however, each student must submit a unique and original homework.
Multiple Quizzes, two Midterm Exams and a Final Exam
will be given during the semester. Quizzes will not be announced and may be given at any time during the class. Make-up exams are rarely given unless prior arrangements have been made. In case of an emergency, contact the instructor as soon as possible and always before the exam. Failure to take an exam, will result in no credit for the exam.

All exams are conducted under the rules and regulations of the Honor Code (see University Catalog).

Teaching Assistants
On-line Class Material
Class and lab material will be distributed electronically via the World-Wide Web. Use a browser to find the ECE 201 homepage at URL:
http://www.spec.gmu.edu/~pparis/classes/ece201.html. I will also correspond with you through your Mason e-mail account - check your e-mail regularly. The BlackBoard page for this course will contain homework assignments, syllabus, and your grades.
Final Grades
are determined by a weighted average of homeworks, projects, exams, and labs in the following manner:
Homework and and quizzes 20%

Midterm Exams 15% each

Final Exam 30%

Labs 20%

Academic Integrity
Mason is an Honor Code university; please see the University Catalog for a full description of the code and the honor committee process. The principle of academic integrity is taken very seriously and violations are treated gravely. When in doubt (of any kind) please ask for guidance and clarification.
Mason E-mail Accounts
Students must use their MasonLIVE email account to receive important University information, including messages related to this class. See http://masonlive.gmu.edu for more information.
Office of Disability Services
If you are a student with a disability and you need academic accommodations, please see me and contact the Office of Disability Services (ODS) at 993-2474. All academic accommodations must be arranged through the ODS. http://ods.gmu.edu.
Other Useful Campus Resources
University Policies
The University Catalog, http://catalog.gmu.edu, is the central resource for university policies affecting student, faculty, and staff conduct in university academic affairs. Other policies are available at http://universitypolicy.gmu.edu/. All members of the university community are responsible for knowing and following established policies.

Class Schedule

Week 1:
Introduction to DSP; Sinusoids, delay and phase
Week 2:
Sinusoids and complex exponential signals
Week 3:
Phasors and phasor addition
Week 4:
Sums of sinusoids, spectrum representation
Week 5:
Beat notes and amplitude modulation
Week 6:
Fourier series and Midterm 1
Week 7:
Sytems, linearity and time-invariance
Week 8:
convolution and LTI systems, FIR filters, convolution examples
Week 9:
Frequency response of LTI systems
Week 10:
Frequency response examples, filtering in the frequency domain
Week 11:
Midterm 2 and Discrete Time Fourier Transform (DTFT)
Week 12:
Discrete Fourier Transform (DFT)
Week 13:
Spectrum analysis and Spectrogram
Week 14:
Fast Fourier Transform (FFT)
Tuesday, December 17 10:30 am – 1:15 pm:
Final Exam