Course Description
To introduce concepts, analytical tools and design techniques to process signals in digital form. Topics include: signal representation, sampling, discrete-time system analysis, recursive and non-recursive filters, design/implementation, discrete Fourier transform, and DSP algorithm design and realization using Matlab.
Prerequisites
ECE 1210, ECE 3830
Resources
Textbook:
J. G. Proakis and D. G. Manolakis, Digital Signal Processing. 4th Ed.(2007), Pearson.
References:
A. V. Oppenheim and R. W. Schafer, Discrete-Time Signal Processing, 3rd Ed. (2010). Pearson.
Student Version of Matlab, MathWorks.
Grading:
| Assignment: | 10-15%. |
| Lab: | 20-30%. |
| Exam1: | 20-30%. |
| Exam2: | 30-40%. |
Student Feedback
Email, anonymous notes, midterm evaluation, and office hours.
Special Needs and Circumstances
Students with special needs or circumstances should feel free to meet with or contact the instructor.
Students with Disabilities
If you anticipate barriers related to the format or requirements of this course, if you have emergency medical information to share with me, or if you need to make arrangements in case the building must be evacuated, please let me know as soon as possible.
If disability related accommodations are necessary (for example, a note taker, extended time on exams, captioning), please establish an accommodation plan with the Disability Center (http://disabilitycenter.missouri.edu), S5 Memorial Union, 573- 882-4696, and then notify me of your eligibility for reasonable accommodations. For other MU resources for persons with disabilities, click on "Disability Resources" on the MU homepage.