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Last modified: August 12, 2008  
University of Florida

EEL 4750C - Introduction to Digital Signal Processing

 

Catalog Description: (3cr) Fundamentals of filter design and Fourier transforms. Hardware implementation of filters. Simulation of signal processing systems using MATLAB.

Prerequisites: Signals and Systems, Microprocessor Applications

Textbook: Digital Signal Processing with Applications with the C6713 and C6416 DSK, R. Chassaing, Wiley, 2004.

Course Objective: The course is designed to provide the student with an exposure to digital signal processing (DSP) theory and practice as required of an entry-level DSP engineer. Students will engage in activities involving the study of sampled signal and systems in the time and frequency domain, and design and analysis of digital filters and transforms. Hands-on studies, using DSP μps and software, are integrated into the course framework.

Professional Component: 3 credits of Engineering Design

Relationship to Outcomes:  (To view how the outcomes of this course fit in with the curriculum, click here

  • EE2 - knowledge of mathematics, basic and engineering sciences necessary to analyze and design complex systems
  • a - an ability to apply knowledge of mathematics, science, and engineering
  • e - an ability to identify, formulate, and solve engineering problems
  • k - an ability to use the techniques, skills, and modern engineering tools necessary for engineering practice

Class Schedule:  3 classes per week of 50 minutes each

Topics:

  • Signals and signal taxonomy
  • Sampling theorem and aliasing, MATLAB studies
  • Analog to digital and digital to analog conversion, and signal generation, DSK sampling project
  • z-transform signal and system representation, MATLAB studies
  • Discrete Fourier  Transform, MATLAB studies, and DSK Fourier project
  • Linear system properties and behavior, MATLAB studies
  • Finite impulse response filters (FIR), MATLAB studies, and DSK FIR project
  • Infinite impulse response filters (IIR), MATLAB studies
  • IIR architectures, state variable representation, MATLAB studies, and DSP IIR project.
  • Survey or advanced DSP applications, concepts and technology (adaptive filters, multi-rate, technology)

Course Committee:  Dr. Taylor, Chair, Dr. Slatton, Dr. Gugel, Dr. Jianbo Gao