Realistic Approach to Description of Signals at Output of A/D Converters
DOI:
https://doi.org/10.26636/jtit.2024.4.1682Keywords:
modeling ADC output signals, spectra of sampled signalsAbstract
It is common knowledge that no signals having the form of a sequence of weighted Dirac deltas, as they are currently modelled so, are present, in reality, at the output of analog-to-digital converters (ADC). No such signals are available in the otherwise large variety of physical signals. This has been illustrated in many works and shown by means of measurements. However, it is highly intriguing that the same papers (with the exception of this article) consider it necessary to model the signals at the output of ADC via sequences of Dirac deltas because only such an approach allows to describe the aliasing effect occurring in the spectra of these signals. But due to this incorrect description such an approach is obviously incomprehensible to everyone. In accepting this, however, it has been overlooked that this does not have to be the case at all. The effect of aliasing in the spectrum of a sampled signal may be explained by modeling this signal as a weighted step function. Moreover, such an approach offers also a quantitatively more accurate result for this spectrum than the one obtained using the current method. All that is illustrated in this paper that focuses on this specific theme.
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[1] A. Borys, "Some Topological Aspects of Sampling Theorem and Reconstruction Formula", International Journal of Electronics and Telecommunications, vol. 66, no. 2, pp. 301-307, 2020. DOI: https://doi.org/10.24425/ijet.2020.131878
View in Google Scholar
[2] A. Borys, "Measuring Process via Sampling of Signals, and Functions with Attributes", International Journal of Electronics and Telecommunications, vol. 66, no. 2, pp. 309-314, 2020. DOI: https://doi.org/10.24425/ijet.2020.131879
View in Google Scholar
[3] A. Borys, "Further Discussion on Modeling of Measuring Process via Sampling of Signals", International Journal of Electronics and Telecommunications, vol. 66, no. 3, pp. 507-513, 2020. DOI: https://doi.org/10.24425/ijet.2020.134006
View in Google Scholar
[4] R. van de Plassche, Integrated Analog-To-Digital and Digital-To-Analog Converters, Berlin: Springer Verlag, 501 p., 1994. DOI: https://doi.org/10.1007/978-1-4615-2748-0
View in Google Scholar
[5] MIT, OpenCourseWare, “Signal Processing - Continuous and Discrete", [Online]. Available: https://ocw.mit.edu/courses/2-161-signal-processing-continuous-and-discrete-fall-2008/pages/readings/.
View in Google Scholar
[6] J.H. McClellan, R. Schafer, and M. Yoder, DSP First, London: Pearson, 2015 (ISBN: 9780136019251).
View in Google Scholar
[7] V.K. Ingle and J.G. Proakis, Digital Signal Processing Using Matlab, 3rd ed., Stamford: Cengage Learning, 672 p., 2011 (ISBN: 9781111427375).
View in Google Scholar
[8] R.J. Marks II, Introduction to Shannon Sampling and Interpolation Theory, New York: Springer-Verlag, 324 p., 1991. DOI: https://doi.org/10.1007/978-1-4613-9708-3
View in Google Scholar
[9] R.N. Bracewell, The Fourier Transform and Its Applications, 3rd ed., New York: McGraw-Hill, 640 p., 2000 (ISBN: 9780073039381).
View in Google Scholar
[10] R. Brigola, Fourier-Analysis und Distributionen: Eine Einführung mit Anwendungen, Hamburg: Tredition, 448 p., 2013 (ISBN: 9783847287421) (in German).
View in Google Scholar
[11] A. Borys, "Spectrum Aliasing does not Occur in Case of Ideal Signal Sampling", International Journal of Electronics and Telecommunications, vol. 67, no. 1, pp. 71-77, 2021. DOI: https://doi.org/10.24425/ijet.2021.135946
View in Google Scholar
[12] S.C. Gupta, "Delta Function", IEEE Transactions on Education, vol. 7, no. 1, pp. 16-22, 1964. DOI: https://doi.org/10.1109/TE.1964.4321835
View in Google Scholar
[13] R.F. Hoskins, Delta Functions: An Introduction to Generalized Functions, Oxford: Woodhead Publishing, 280 p., 2010 (ISBN: 9781904275398). DOI: https://doi.org/10.1533/9780857099358
View in Google Scholar
[14] A. Borys, "Spectrum Aliasing does Occur only in Case of Non-ideal Signal Sampling", International Journal of Electronics and Telecommunications, vol. 67, no. 1, pp. 79-85, 2021. DOI: https://doi.org/10.24425/ijet.2021.135947
View in Google Scholar
[15] A. Dąbrowski, "Fundamentals of Systems, Signals and Information Theory: Sampling of Signals", Department of Control and Systems Engineering, Technical University of Poznań, Poland, 2008.
View in Google Scholar
[16] A. Borys, "An Unexpected Result on Modelling the Behavior of A/D Converters and the Signals They Produce", International Journal of Electronics and Telecommunications, vol. 69, no. 1, pp. 193-198, 2023. DOI: https://doi.org/10.24425/ijet.2023.144350
View in Google Scholar
[17] A. Borys, "Sampled Signal Description That is Used in Calculation of Spectrum of This Signal Needs Revision", International Journal of Electronics and Telecommunications, vol. 69, no. 2, pp. 319-324, 2023. DOI: https://doi.org/10.24425/ijet.2023.144367
View in Google Scholar
[18] P. Prandoni and M. Vetterli, Signal Processing for Communications, Lausanne: EPFL Press, 371 p., 2008 (ISBN: 9781420070460). DOI: https://doi.org/10.1201/9781439808009
View in Google Scholar
[19] N. Ma et al., "Influence of Sampling Frequency on Magneto-optical Imaging under Alternating Magnetic Field Excitation", IEEE Sensors Journal, vol. 19, no. 23, pp. 11591-11600, 2019. DOI: https://doi.org/10.1109/JSEN.2019.2937629
View in Google Scholar
[20] K. Sozański, Digital Signal Processing in Power Electronics Control Circuits, London: Springer-Verlag, 285 p., 2013 (ISBN: 9781447152668). DOI: https://doi.org/10.1007/978-1-4471-5267-5
View in Google Scholar
[21] T.S. Low and C. Bi, "Design of A/D Converters with Hierarchic Networks", IEEE Transactions on Industrial Electronics, vol. 43, no. 1, pp. 184-191, 1996. DOI: https://doi.org/10.1109/41.481424
View in Google Scholar
[22] MathWorks, "Switched Capacitor Analog to Digital Converter", [Online]. Available: https://www.mathworks.com/help/sps/ug/switched-capacitor-analog-to-digital-converter.html.
View in Google Scholar
[23] A. Mertins, Signaltheorie: Grundlagen der Signalbeschreibung, Filterbänke, Wavelets, Zeit-Frequenz-Analyse, Parameter- und Signalschätzung. Berlin: Springer Verlag, 461 p., 2020. DOI: https://doi.org/10.1007/978-3-658-29648-3
View in Google Scholar
[24] U. Zölzer, Digital Audio Signal Processing, Chichester: Wiley & Sons, 340 p., 2008 (ISBN: 9780470997857). DOI: https://doi.org/10.1002/9780470680018
View in Google Scholar
[25] C. Marven and G. Ewers, A Simple Approach to Digital Signal Processing, Hoboken: Wiley-Interscience, 236 p., 1996 (ISBN: 9780471152439).
View in Google Scholar
[26] SlideServe, "Analog/Digital Conversion", [Online]. Available: https://www.slideserve.com/papaj/analog-digital-conversion-powerpoint-ppt-presentation.
View in Google Scholar
[27] A. Borys, "A New Result on Description of the Spectrum of a Sampled Signal", International Journal on Marine Navigation and Safety of Sea Transportation, vol. 18, no. 2, 2024. DOI: https://doi.org/10.12716/1001.18.02.17
View in Google Scholar
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