An introduction to the mathematical background in signals and systems; signal and image processing: sampling, discrete Fourier transform, filtering; linear system theory; Kalman filtering; feedback. Prerequisites: cumulative GPA of 4.50 or better over all major EECS courses (without second digit "5"); LE/EECS 2021 4.00, SC/MATH 1310 3.00. Course credit exclusions: SC/MATH 4130B 3.00, SC/PHYS 4060 3.00. Previously offered as: LE/CSE 3451 4.00. PRIOR TO FALL 2014: course credit exclusions: SC/MATH 4830 3.00. PRIOR TO SUMMER 2013: course credit exclusions: SC/CSE 3451 4.00, SC/EATS 4020 3.00.
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