Array Signal Processing

Course ID:  M5A015ER

Credits: 3

Objective: This course discusses array processing techniques for signal separation and parameter estimation, using arrays of sensors. After a brief introduction of the necessary linear algebra tools, we will start with deriving the signal processing model for narrowband applications, followed by the wideband extension, and apply these to several applications among which array processing for audio signal processing.

Course Prerequisites: Familiarity with linear algebra, signal processing, Fourier transform, stochastic processes and preferably statistical signal processing and some experience with Matlab

Outline: 

To be able to explain some key problems regarding data models, estimation and detection that occur in array processing applications. 

- To be able to explain the major signal processing tools required to solve array processing problems. 

- To be able to implement these signal processing techniques in Matlab. 

- To be able to apply these techniques to new array processing problems.

Teaching Method: Lectures and explaining of the key array signal processing concepts with Matlab-based simulations

Reference: 

Van Trees, Harry L. Optimum array processing: Part IV of detection, estimation, and modulation theory. John Wiley & Sons, 2002.