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Signal Analysis

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Communication Systems

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Abstract

The objective of this chapter is to provide the reader with the necessary mathematical basis for understanding communication systems in conjunction with probability theory and stochastic processes. The reader will become familiar with concepts and equations involving Fourier series, which have a significant historical relevance for the theory of communications. Furthermore, both the theory and properties of the Fourier transform will be presented, which constitute powerful tools for spectral analysis (Alencar 1999).

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References

  • Alencar, M. S. (1999). Principles of communications. João Pessoa, Brazil: University Publishers, UFPB (in Portuguese).

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  • Oberhettinger, F. (1990). Tables of Fourier transforms and Fourier transforms of distributions. Berlin: Springer.

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  • Wozencraft, J. M., & Jacobs, I. M. (1965). Principles of communication engineering. New York: Wiley.

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Author information

Authors and Affiliations

  1. Institute of Advanced Studies in Communications, Federal University of Bahia, Salvador, Paraíba, Brazil

    Marcelo S. Alencar

  2. Institute of Advanced Studies in Communications, Federal University of Pernambuco, Recife, Pernambuco, Brazil

    Valdemar C. da Rocha Jr.

Authors
  1. Marcelo S. Alencar
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  2. Valdemar C. da Rocha Jr.
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Correspondence to Marcelo S. Alencar .

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Alencar, M.S., da Rocha Jr., V.C. (2020). Signal Analysis. In: Communication Systems. Springer, Cham. https://doi.org/10.1007/978-3-030-25462-9_1

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  • DOI: https://doi.org/10.1007/978-3-030-25462-9_1

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-25461-2

  • Online ISBN: 978-3-030-25462-9

  • eBook Packages: EngineeringEngineering (R0)

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