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Prerequisites

  • Engineering math: linear algebra, complex analysis, linear differential equations, Fourier transform, Laplace transform, z-transform
  • Signals and Systems (textbook, e.g., Oppenheim/Willsky, Signals and Systems)
  • Communications (textbook, e.g., Haykin, Communication Systems)
  • Stochastic Processes (textbook, e.g., Pillai/Papoulis: Probability, Random Variables, and Stochastic Processes)
  • Digital Signal Processing: A.V. Oppenheim and R. Schafer, Discrete-Time Signal Processing, 3rdedition, Prentice Hall,  2013.
  • Software: MATLAB
  • Knowledge in fundamentals of algorithms and datastructures
  • Knowledge in digital circuit design
  • Basic knowledge in programming languages, e.g., C.C++, Java