Nonstationary signal decomposition for dummies

2017/10/13 by Antonio Cicone, Cicone, Antonio
Computer Science · Mathematics · #Algorithm #Artificial intelligence #Computer science #Constant Q transform #Decomposition #Discrete wavelet transform #FOS: Mathematics #Fourier transform #Harmonic wavelet transform #History and Overview (math.HO) #Image and Signal Denoising Methods #Mathematical analysis #Mathematics #SIGNAL (programming language) #Signal processing #Speech recognition #Telecommunications #Wavelet #Wavelet transform #math.HO

paper · pdf · doi:10.48550/arxiv.1710.04844

arxiv created 2017/10/13 · openalex publication_date 2017/10/13 · arxiv updated 2017/10/16 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/08

Abstract

How can I decompose a nonstationary signal? What are the advantages of using the most recent methods available in the literature versus using classical methods like (short time) Fourier transform or wavelet transform? This paper tries to address these and other questions providing the reader with a brief and self contained survey on what and how to tackle the decomposition of nonstationary signals.

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