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2023 Journal Impact Factor - 0.7
2023 CiteScore - 1.4
ISSN 2083-6473
ISSN 2083-6481 (electronic version)
Editor-in-Chief
Associate Editor
Prof. Tomasz Neumann
Published by
TransNav, Faculty of Navigation
Gdynia Maritime University
3, John Paul II Avenue
81-345 Gdynia, POLAND
e-mail transnav@umg.edu.pl
Definition of Sampled Signal Spectrum and Shannon’s Proof of Reconstruction Formula
1 Gdynia Maritime University, Gdynia, Poland
Times cited (SCOPUS): 1
ABSTRACT: The objective of this paper is to show from another perspective that the definition of the spectrum of a sampled signal, which is used at present by researchers and engineers, is nothing else than an arbitrary choice for what is possibly not uniquely definable. To this end and for illustration, the Shannon’s proof of reconstruction formula is used. As we know, an auxiliary mathematical entity is constructed in this proof by performing periodization of the spectrum of an analog, bandlimited, energy signal. Admittedly, this entity is not called there a spectrum of the sampled signal - there is simply no need for this in the proof – but as such it is used in signal processing. And, it is not clear why just this auxiliary mathematical object has been chosen in signal processing to play a role of a definition of the spectrum of a sampled signal. We show here what are the interpretation inconsistences associated with the above choice. Finally, we propose another, simpler and more useful definition of the spectrum of a sampled signal, for the cases where it can be needed.
KEYWORDS: Communication, Signal Processing, Signal Characteristics, Signal Spectrum, Spectrum of a Sampled Signal, Signal Sampling, Shannon's Proof, Shannon’s Proof of Reconstruction Formula
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Citation note:
Borys A.: Definition of Sampled Signal Spectrum and Shannon’s Proof of Reconstruction Formula. TransNav, the International Journal on Marine Navigation and Safety of Sea Transportation, Vol. 16, No. 3, doi:10.12716/1001.16.03.08, pp. 473-478, 2022
Authors in other databases:
Andrzej Borys:
orcid.org/0000-0003-1316-4031
7003863213