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WCM600 Signal Processing Theory

Lead Faculty: Dr. Shekar Viswanathan

Course Description

Students master key Digital Signal Processing concepts and wireless signal filtering using mathematical models of continuous-time and discrete-time signals and linear systems. Analyze and simulate communication systems using MATLAB. Employ concepts of probability, functions of random variables, and Poisson distributions through analysis of wireless signals using the MATLAB programming language.

Learning Outcomes

  • Understand fundamental of wireless signal processing.
  • Understand analog contrast digital signal processing technologies.
  • Effective application of quantized and sampled signals on wireless communication (WC) systems.
  • Mathematically model WC for continuous and discrete time systems.
  • Determine essential properties of the Laplace and z-transforms.
  • Understand the implication of sampling frequency and application of signal spectral analysis in WC.
  • Compute signal power and energy in time and frequency domain.
  • Design and implement FIR and IIR filters toward WC systems.
  • Perform research, prepare formal reports, and write research papers.