ECE 5550: Digital Signal Processing

 

Course Description
 

This course considers the relationship between continuous and digital signals, primarily as they relate to signal processing and its applications. To do this we will consider both time and frequency domain techniques as they are used to make statistical inferences on digital data. Special consideration given to the design of optimum filters and the power density estimation problems.

 

Course Topics
 

Discrete Time Signals
 
  • Linear Time Invariant (LTI) systems
  • Analysis of LTI systems
  • Difference equations
  • Classical methods for solving difference equations
  Frequency domain analysis of signals and systems
 
  • Continuous signals
  • Discrete signals
  Z Transforms
 
  • Analysis in the Z-domain
  • Range of convergence
  • Applications
  Sampling of signals
 
  • Time domain
  • Frequency domain
  • A/D and D/A conversions
  • Quantization error
  Implementing discrete time systems
 
  • IIR and FIR filters
  • Round-off effects
  Digital filter design
 
  • DFT algortim
  • FFT algorithm
  Linear prediction
 
  • Forward, backward linear prediction
  • Optimal linear filters
  Power spectrum estimation
 
  • Parametric methods
  • nonparametric methods

 

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