Aug 16, 2022  
2020-2021 Undergraduate Academic Catalog 
2020-2021 Undergraduate Academic Catalog [ARCHIVED CATALOG]

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EE 423 - Applications of Digital Signal Processing

2 lecture hours 2 lab hours 3 credits
Course Description
This course builds upon the DSP lecture course. It is heavily laboratory- and applications-oriented, enabling students to implement powerful algorithms on actual DSP hardware utilizing the C programming language. Such algorithms as FIR and IIR digital filters, adaptive and multirate filters (interpolator), modulators and demodulators, correlators and discrete and fast Fourier transforms are programmed. The hardware is capable of processing stereo audio signals in realtime, effectively demonstrating the power of the techniques. (prereq: EE 3221 )
Course Learning Outcomes
Upon successful completion of this course, the student will be able to:
  • Determine the appropriate system design for DSP applications
  • Be proficient in the C programming language of a DSP chip

Prerequisites by Topic
  • Sampling theorem
  • FIR/IIR transfer function design and analysis
  • Discrete/fast Fourier transform
  • Communications systems
  • Computer programming in C

Course Topics
  • DSP system architecture and C programming language (4 classes)
  • Modulation, demodulation (3 classes)
  • FIR, IIR, adaptive, multirate digital filter implementation (6 classes)
  • Discrete and fast Fourier transform implementation (2 classes)
  • Auto- and cross correlation methods (3 classes)
  • Phase locked loop (2 classes)

Laboratory Topics
  • Operation of evaluation module
  • FIR or IIR filter
  • Demodulator (QAM)
  • Modulator (ISB)
  • Adaptive filter
  • Design project

Dr. Cory Prust

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