Digital Signal Processing
The course addresses the mathematics, implementation, design and application of the digital signal processing algorithms used in areas such as multimedia telecommunications and speech and image processing. Topics include discrete-time signals and systems, discrete-time Fourier transforms, Z- transforms and fast Fourier transform, digital filter design and implementation, and multi-rate signal processing. The course also includes introductory discussions of 2-dimensional signal processing, linear prediction, adaptive filtering, and selected application areas. Lectures are supplemented with exercises using MATLAB.
Dr. Michael Melek
Develop and conduct appropriate experimentation and/or simulation, analyze and interpret data, assess and evaluate findings, and use statistical analyses and objective engineering judgment to draw conclusions.Utilize contemporary technologies, codes of practice and standards, quality guidelines, health and safety requirements, environmental issues and risk management principles.Design, model and analyze an electrical, electronic, microwave and optical system or component for a specific ICT application and identify the tools required to optimize this design.Design, integrate, and test analog and digital, discrete and integrated, electronic circuits to realize specific functions, using the right equipment, and under specific design constraints.Use appropriate specialized software packages, write computer programs, and use relevant laboratory equipment for the analysis and design of electronics and communications components and systems.