DocumentCode
2961198
Title
Generalized kernels for reconstructing bandlimited functions and their Hilbert transform
Author
Boche, H. ; Protzmann, M.
Author_Institution
Broadband Mobile Commun. Networks, Heinrich-Hertz-Inst. fur Nachrichtentech. Berlin GmbH, Germany
fYear
1998
fDate
6-10 July 1998
Firstpage
426
Lastpage
427
Abstract
This paper introduces generalized kernels to be used with the algorithm for reconstructing bandlimited functions from nonequidistant samples which was previously proposed by the authors. The new kernels turn out to be much more compatible with the requirements of numerical implementation, because they lead to matrices with a significantly reduced condition.
Keywords
Hilbert transforms; interpolation; matrix algebra; signal reconstruction; signal sampling; smoothing methods; Hilbert transform; bandlimited functions; discontinuous spectra; discrete Fourier transform; generalized kernels; interpolated function; linear equations; nonequidistant samples; numerical implementation; reconstruction algorithm; signal sampling; sinc-kernel; smooth spectra; Approximation algorithms; Broadband communication; Electronic mail; Equations; Kernel; Mobile communication; Sampling methods; Standardization; Symmetric matrices;
fLanguage
English
Publisher
ieee
Conference_Titel
Precision Electromagnetic Measurements Digest, 1998 Conference on
Conference_Location
Washington, DC, USA
Print_ISBN
0-7803-5018-9
Type
conf
DOI
10.1109/CPEM.1998.699985
Filename
699985
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