Research on complexity evolution of marketing evaluation data based on fractional calculus

Fang Ji

Chaos, Solitons & Fractals, 2020, vol. 131, issue C

Abstract: Firstly, the paper introduces the definition of Fourier transform of fractional calculus equation, and then clarifies the discretization algorithm of fractional calculus Fourier. Secondly, the Fourier transform is applied to the processing of marketing data signals, including market signal detection and parameter estimation, signal de-drying and so on. The paper finds that the discretization algorithm of fractional calculus Fourier has strong theoretical and practical significance in the detection and complexity evolution of marketing evaluation data.

Keywords: Fractional calculus equation; Fractional Fourier Transform (FrFT); Marketing data signal detection; Signal distribution; Data evaluation; 34C15; 37D45 (search for similar items in EconPapers)
Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:eee:chsofr:v:131:y:2020:i:c:s0960077919303571

DOI: 10.1016/j.chaos.2019.109416

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