Abstract
The Fourier transforms of functions in signal processing systems typically have support in certain fixed regions within the frequency domain. Such band-limited functions are constrained in ways that are perhaps surprising at first. The sampling theorem provides a method for recovering functions of one variable that are band-limited to an interval from a discrete set of samples. This motivates a more general study of functions whose Fourier transforms have restricted support. Further light is shed on this phenomenon by the fact that such one-variable band-limited functions are entire functions satisfying certain integral and pointwise growth conditions. In fact, the Paley-Wiener theorem actually characterizes functions band-limited to an interval by these conditions. It is another indication that band-limited functions are somewhat rigid in their structure. Also of extreme importance, are the constraints on the number of linearly independent band-limited functions that can be ‘packed’ into a given time interval. A rigorous exploration, due to Landau, Slepian and Pollak, of this time-bandwidth intuition will be given in the last section of this chapter.
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© 1998 Springer Science+Business Media New York
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Ramanathan, J. (1998). Functions with Restricted Transforms. In: Methods of Applied Fourier Analysis. Applied and Numerical Harmonic Analysis. Birkhäuser, Boston, MA. https://doi.org/10.1007/978-1-4612-1756-5_7
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DOI: https://doi.org/10.1007/978-1-4612-1756-5_7
Publisher Name: Birkhäuser, Boston, MA
Print ISBN: 978-1-4612-7267-0
Online ISBN: 978-1-4612-1756-5
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