Applied Spectral Analysis

Fabio Della Rossa (), Julio Guerrero (), Giuseppe Orlando and Giovanni Taglialatela ()
Additional contact information
Fabio Della Rossa: University of Naples “Federico II”, Department of Electrical Engineering and Information Technology
Julio Guerrero: University of Jaén, Department of Mathematics
Giovanni Taglialatela: University of Bari, Department of Economics and Finance

Chapter Chapter 9 in Nonlinearities in Economics, 2021, pp 123-139 from Springer

Abstract: Abstract In this chapter, we first explain what we mean by a signal, and then we describe some characteristics such as energy, frequency, phase, power spectrum, etc. We show how to analyse it by the means of spectral analysis and Fourier transform. Moreover, as the Fourier transform does not provide any information about the time at which each frequency appears, we explain how to deal with this problem with the Gabor and wavelet transform.

Keywords: Signal processing; Noise cleaning; Fourier analysis; Power spectrum; Gabor analysis; Wavelet analysis (search for similar items in EconPapers)
Date: 2021
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:dymchp:978-3-030-70982-2_9

Ordering information: This item can be ordered from
http://www.springer.com/9783030709822

DOI: 10.1007/978-3-030-70982-2_9

Access Statistics for this chapter

More chapters in Dynamic Modeling and Econometrics in Economics and Finance from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().