(FALL 2009)

DSP Fundamentals, Modeling and Analysis (Section 1) EECS X495  (3)

Increase your knowledge of DSP technology by learning the mathematical modeling of signals and mathematical techniques to solve complex tasks in contrast to conventional analog techniques. The digital signal processing system is reviewed detailing analog-to-digital conversion, signal processing, and digital-to-analog conversions. Participants learn how to perform fundamental digital filtering along with classical filter design methods, realizations of finite impulse response (FIR) filters, and infinite impulse response (IIR) filters. Software tools are used to simulate and analyze digital signals. Prerequisites: Engineering mathematics background in signals and systems, and familiarity with MATLAB.

Dr. David Taggart, PhD in engineering, has over 35 years of Industrial experience and has worked at such companies asThe Aerospace Corporation, Boeing, Northrop Grumman, Bell Telephone Labs, and Department of Water and Power of Los Angeles. Additional, he has over 30 years of teaching experience and has taught about 400 classes over his teaching career. He is also an Officer in the IEEE Aerospace Conference since about 2005.