Electrical Engineering and Computer Science

EECS 4380 - Digital Signal Processing Course Syllabus

Credits/Contact Hours
3 credit hours and 3 contact hours (Engineering Topics).

Textbook
Discrete -Time Signal Processing, Alan V. Oppenheim and Ronald W. Schafer, Prentice-Hall, 3rd Edition, 2010 (ISBN-10:0-13-198842-5).

Course Information

1. Brief description of the content of the course (catalog description): Discrete Fourier transform (DFT), discrete convolution and correlation, Fast Fourier transform (FFT) and its applications, design of IIR and FIR digital filters, multi-rate/channel digital systems, decimation, and interpolation.  
2. Prerequisites or co-requisites: EECS 3210 for level undergraduate with minimum grade D-.  
3. Indicate whether a required, elective, or selected elective (as per Table 5-1) course in the program: Elective   

Specific Goals - Student Learning Objectives (SLOs)

1. Specific outcomes of instruction (e.g. The student will be able to): 

1. Understand basic discrete-time systems, linearity, linear time-invariance, stability, impulse response, and discrete convolution.  
2. Implement discrete time systems, recursive and non-recurse realizations. 
3. Perform Z transform and finding the inverse Z transform including its properties. 
4. Understand frequency analysis of both continuous and discrete signals. 
5. Understand frequency response of linear time invariant (LTI) systems. 
6. Understand discrete Fourier transform, its properties, and applications. 
7. Design digital filters both FIR, IIR filters.  
8. Understand of multi-rate signal processing.

b.explicitly indicate which of the student outcomes listed in Criterion 3 or any other outcomes are addressed by the course: None. 

Topics

Introduction to discrete-time signal processing, discrete -time signals and systems, sampling of continuous signal, up/down sampling, multi-rate signal processing, FIR and IIR filters design, discrete Fourier transform (DFT) and  discrete Fourier series (DFS), fast  Fourier transform (FFT).