Modelling of non-ideal signal sampling via averaging operation and spectrum of sampled signal predicted by this model

• Autorzy: Borys A.

Identyfikatory

DOI

10.12716/1001.16.02.10

• Języki publikacji: EN

Abstrakty

EN

In this paper, a novel model of a non-ideal signal sampling via a local, periodic averaging operation is present-ed. The spectrum of a sampled signal predicted by this model is also analysed as well as compared with a one following from another model.

Słowa kluczowe

EN

modelling of non-Ideal signal sampling; non-Ideal signal; spectrum of sampled signal; A/D converters; non-Ideal signal sampling; signal sampling; discrete time fourier transform

• Wydawca: Faculty of Navigation, Gdynia Maritime University
• Czasopismo: TransNav : International Journal on Marine Navigation and Safety of Sea Transportation
• Rocznik: 2022
• Tom: Vol. 16 No. 2
• Strony: 274--278
• Opis fizyczny: Bibliogr. 9 poz., rys.

Twórcy

autor

Borys A.

• Gdynia Maritime University, Gdynia, Poland

Bibliografia

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• 4. Bracewell R. N. 2000. The Fourier Transform and Its Applications, McGraw-Hill, New York.
• 5. Borys A. 2020a. Spectrum aliasing does occur only in case of non-ideal signal sampling, IEEE Transactions on Information Theory, submitted for publication.
• 6. McClellan J. H., Schafer R., Yoder M. 2015. DSP First, Pearson, London, England.
• 7. Brigola R. 2013. Fourier-Analysis und Distributionen, edition swk, Hamburg.
• 8. So H. C. 2019. Signals and Systems - Lecture 6 - Discrete-Time Fourier Transform, www.ee.cityu.edu.hk/~hcso/ee 3210.html, accessed December 2019.
• 9. Wang R. 2010. Introduction to Orthogonal Transforms with Applications in Data Processing and Analysis, Cambridge University Press, Cambridge, England.