Digital Signal Processing
The lectures will cover: (1) Basic principles of digital signal processing. (2) Design of digital filters. (3) Fourier analysis and the fast Fourier transform. (4) Roundoff errors in digital signal processing. (5) Applications of digital signal processing.
Sample reading list:
Sanjit K. Mitra, Digital Signal Processing, A Computer-Based Approach
3rd Edition, McGraw Hill, 2006
Reading and 4-6 problems each week.
Mid Term Exam - 30%
Final Exam - 45%
Programming Assignments - 25%
Open to Juniors, Seniors, and Graduate Students Only.
Prerequisites and Restrictions:
The laboratory will involve the design of filters and implementation of signal processing routines using software packages.
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