Ergebnisse für: Nonequispaced sampling
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The principal contribution of this thesis is the further development of computational tools in Fourier analysis that generalise the FFT:
1. We start with a unified introduction to discrete Fourier transforms on the d-dimensional torus, the hyperbolic cross, and the sphere as evaluations of correspo...
The well-known fast Fourier transform (FFT) is one of the most important and widely used algorithms in a multitude of disciplines including engineering, natural sciences, scientific computing, and signal processing. Nevertheless, its restriction to equispaced data represents a significant limitation...
The well-known fast Fourier transform (FFT) is one of the most important and widely used algorithms in a multitude of disciplines including engineering, natural sciences, scientific computing, and signal processing. Nevertheless, its restriction to equispaced data represents a significant limitation...