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Adaptive systems 732


 
Module code ETA 732
Qualification Postgraduate
Faculty Faculty of Engineering, Built Environment and Information Technology
Module content

Adaptive systems ETA732 covers the fundamentals of adaptive systems within the context of adaptive signal processing. The basic linear filtering problem with associated models and filter structures is introduced. Furthermore, the topics of stationary processes and models, spectrum analysis, eigen analysis, Wiener filters, linear prediction, Kalman filters, stochastic gradient methods and least squares methods are covered. Blind adaptive methods are presented within the context of the blind deconvolution problem. Lattice filter methods are covered as an extention to the basic topics of this course. Adaptive systems ETA732 will supply the student with valuable tools for the solution of statistical detection and estimation problems in the diverse fields of communications, control, radar, sonar, seismology and biomedical engineering.
Module credits 32.00
NQF Level 08
Prerequisites ETD 732
Contact time 32 contact hours per semester
Language of tuition Module is presented in English
Department Electrical, Electronic and Computer Engineering
Period of presentation Semester 1 or Semester 2
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