Wavelet transforms of the time series of small wholesale prices in the agricultural sector-Reference-Cited by-同舟云学术

Wavelet transforms of the time series of small wholesale prices in the agricultural sector

Published:2021-12-01 Issue:3 Volume:937 Page:032075
ISSN:1755-1307
Container-title:IOP Conference Series: Earth and Environmental Science
language:
Short-container-title:IOP Conf. Ser.: Earth Environ. Sci.

Author:

Kazantsev S,Pavlov A,Chekha O

Abstract

Abstract The article provides a wavelet analysis of small wholesale prices for white cabbage in Rostov-on-Don from 2017 to 2020 year. Approximation coefficients show a steady trend, the detailing coefficients reflect seasonal and insignificant temporary price fluctuations. The constituent scaling approximation coefficients and the detailing components are highlighted in the form of separate graphs. The series was decomposed up to the 6th level using the Haar and Daubechies wavelets.

Publisher

IOP Publishing

Subject

General Engineering

Link

https://iopscience.iop.org/article/10.1088/1755-1315/937/3/032075/pdf

Reference15 articles.

1. Concentration of Frequency and Time via a multitapered synchrosqueezed transform;Daubechies;Philosophical Transactions of the Royal Society, A,2016

2. Deterministic Analysis of Decimation for Sigma-Delta Quantization of Bandlimited Functions;Daubechies;IEEE Signal Processing Letters,2015

3. Synchrosqueezed Wavelet Transforms: An empirical mode decomposition-like tool;Daubechies;Applied and Computational Harmonic Analysis,2011

4. A new passive islanding detection approach using wavelets and deep learning for grid-connected photovoltaic systems;Allan;Electric Power Systems Research,2021

5. An improved algorithm for fault detection and location in multi-terminal transmission lines based on wavelet correlation modes;Jimenez;Electric Power Systems Research,2021