Electrical Engineering and Computer Science

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351: Digital Signal Processing and Analysis Vision

Instructor: Professor Andrew E. Yagle

Course Homepage:http://www.eecs.umich.edu/~aey/eecs451.html

Note: This course has been changed from EECS 451 as of Fall 2015

Coverage
This course covers the basics of digital signal processing, including: Sampling, linear time-invariant systems, convolution, z-transforms, Discrete-time Fourier transform, Discrete-time Fourier series Discrete Fourier transform, Fast Fourier transform, data windows, FIR and IIR filter design, multirate filtering, image processing, spectrogram.

Additional Information
Weekly problem sets all include problems in which course techniques are applied to real-world signals. Three in-class exams and recitation.

Textbook(s)
Manolakis, Dimitris K, and John G. Proakis. Digital Signal Processing (4th Edition). 4 ed. Alexandria, VA: Prentice Hall, 2006.

Syllabus
1. Discrete-time LTI systems and convolution
2. Two-sided z-transform and ROC
3. DTFT, DTFS, DFT, FFT, data windows
4. Low-pass and comb filters using poles and zeros
5. FIR and IIR filter design
6. Multirate filtering
7. Basic image processing