Student will be able to,
ILO1: Calculate basic stochastic signal processing parameters and functions and examine its application to signal processing-based engineering applications.
ILO2: Analyze and deduce the operations of the Wiener filter in relation to channel estimation/ equalization/interference cancellation applications, and evaluate the impact of sensor noise for these applications.
ILO3: Combine the relationship between the Eigen-structure of the ACM, PSD and performance surface.
ILO4: Breakdown the adaptation process of the SD and LMS algorithms to multiple modes and analyze the convergence and transient behaviours of these adaptive techniques and identify the impact of transform domain approaches to convergence behaviour.
ILO5: Design LMS based adaptive approaches to resolve problems relating to channel estimation/equalization/interference cancellation/beamforming.