Shannon’s Sampling Theorem for Bandlimited Signals and Their Hilbert Transform, Boas-Type Formulae for Higher Order Derivatives—The Aliasing Error Involved by Their Extensions from Bandlimited to Non-Bandlimited Signals†Report as inadecuate


Shannon’s Sampling Theorem for Bandlimited Signals and Their Hilbert Transform, Boas-Type Formulae for Higher Order Derivatives—The Aliasing Error Involved by Their Extensions from Bandlimited to Non-Bandlimited Signals†


Shannon’s Sampling Theorem for Bandlimited Signals and Their Hilbert Transform, Boas-Type Formulae for Higher Order Derivatives—The Aliasing Error Involved by Their Extensions from Bandlimited to Non-Bandlimited Signals† - Download this document for free, or read online. Document in PDF available to download.

1

Lehrstuhl A für Mathematik, RWTH Aachen University, 52056 Aachen, Germany

2

Department of Mathematics, University of Erlangen-Nuernberg, 91058 Erlangen, Germany



Dedicated to Karl Willy Wagner 1883–1953. A man of principles, pioneer of the theory of electronic filters.





*

Author to whom correspondence should be addressed.



Abstract The paper is concerned with Shannon sampling reconstruction formulae of derivatives of bandlimited signals as well as of derivatives of their Hilbert transform, and their application to Boas-type formulae for higher order derivatives. The essential aim is to extend these results to non-bandlimited signals. Basic is the fact that by these extensions aliasing error terms must now be added to the bandlimited reconstruction formulae. These errors will be estimated in terms of the distance functional just introduced by the authors for the extensions of basic relations valid for bandlimited functions to larger function spaces. This approach can be regarded as a mathematical foundation of aliasing error analysis of many applications. View Full-Text

Keywords: sampling formulae; differentiation formulae; non-bandlimited functions; aliasing error; Hilbert transforms; formulae with remainders; derivative-free error estimates; Bernstein’s inequality sampling formulae; differentiation formulae; non-bandlimited functions; aliasing error; Hilbert transforms; formulae with remainders; derivative-free error estimates; Bernstein’s inequality





Author: Paul L. Butzer 1, Gerhard Schmeisser 2 and Rudolf L. Stens 1,*

Source: http://mdpi.com/



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