Hilbert Transformation and Properties of Solar Cycles in Envelope−Instantaneous Frequency Variables

When analyzing a narrowband signal, the Hilbert transform is often used, which makes it possible to describe the process through slowly changing functions: the envelope (amplitude) and, weakly dependent on time, the characteristic signal frequency—the “instantaneous” frequency. Based on the smoothness of these characteristics, one can evaluate the process and compare it at different periods. This approach was used to analyze the spectral components of a series of average monthly Wolf numbers. This description of the main and second harmonics, supplemented by the properties of the long-period component, gives a fairly complete picture of the entire series of monthly averages. The work examines the correspondence of the characteristics of reliable data, with this approach, to the accepted description in terms of the parameters of cycles (maximum of the cycle, duration of the cycle, and its growth branches) and constructs an “envelope” of the maxima of the cycles. The time dynamics of the instantaneous frequencies of the fundamental and second harmonics of the entire series are also presented, and significant differences in their behavior are noted in the intervals corresponding to the reconstructed and reliable parts.

Authors

Institutions

Publication Details

Journal
Geomagnetism and Aeronomy
Published
2024-08-01
DOI
https://doi.org/10.1134/s0016793224600383
Citations
1
Primary Topic
Solar and Space Plasma Dynamics
Type
article
Field-Weighted Citation Impact
0.33
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Hilbert Transformation and Properties of Solar Cycles in Envelope−Instantaneous Frequency Variables

I. G. Shibaev
1 citations
Geomagnetism and Aeronomy
Solar and Space Plasma Dynamics
0.33
article

Hilbert Transformation and Properties of Solar Cycles in Envelope−Instantaneous Frequency Variables

I. G. Shibaev
article en
1 citations

Abstract

When analyzing a narrowband signal, the Hilbert transform is often used, which makes it possible to describe the process through slowly changing functions: the envelope (amplitude) and, weakly dependent on time, the characteristic signal frequency—the “instantaneous” frequency. Based on the smoothness of these characteristics, one can evaluate the process and compare it at different periods. This approach was used to analyze the spectral components of a series of average monthly Wolf numbers. This description of the main and second harmonics, supplemented by the properties of the long-period component, gives a fairly complete picture of the entire series of monthly averages. The work examines the correspondence of the characteristics of reliable data, with this approach, to the accepted description in terms of the parameters of cycles (maximum of the cycle, duration of the cycle, and its growth branches) and constructs an “envelope” of the maxima of the cycles. The time dynamics of the instantaneous frequencies of the fundamental and second harmonics of the entire series are also presented, and significant differences in their behavior are noted in the intervals corresponding to the reconstructed and reliable parts.

Geomagnetism and AeronomyVol. 64(4)
Institute of Terrestrial Magnetism Ionosphere and Radio Wave Propagation (RU)
Openalex Percentile: Top 35%
Solar and Space Plasma Dynamics
0.33
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Hilbert Transformation and Properties of Solar Cycles in Envelope−Instantaneous Frequency Variables — I. G. Shibaev · Geomagnetism and Aeronomy (2024) | TGRS Research Map | TGRS