DescriptionFourier analysis is the study of the way general functions may be represented or approximated by sums of simpler trigonometric functions. Fourier analysis lies at the heart of many areas in pure and applied mathematics. In term one, the students will write some of the fundamental concepts such as the continuous-time Fourier transform, Parseval identity (Plancherel theorem). In term 2, the students would proceed with a specialized topic such as Shannon's sampling theorem, the Weyl-Heisenberg uncertainty principle or compressed sensing.
Pre - and corequisitesAMV II, Complex Analysis II, Analysis IVResources
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email: Wilhelm Klingenberg