Textbook: Proakis and Manolakis, Digital Signal Processing: Principles, Algorithms, and Applications, 3rd Edition, Prentice Hall, 1996.

Lectures: M W F 11am - 11:50am in Workman 113

Labs: Two lab sections, one each on Wednesday and Thursday afternoons from 2:00 - 5:00pm in Workman 189

Course Description: Signals play an important role in our everyday life. Digital signal processing (DSP) is a field that is concerned with the representation of such signals by sequences of numbers or symbols and the processing of these sequences. Due to the advances in integrated circuit technology, which offer economical implementations of very complex signal processing algorithms, DSP field has seen an explosive growth in the past three decades. This course will cover the basics in DSP. Applications of DSP will be demonstrated both during lectures and in lab. The course will cover various topics including: discrete-time signals and systems, z-transform, frequency analysis, discrete Fourier transform, and digital filters.

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