What problem and how does the spiking deconvolution algorithm solve

Some aspects of seismic deconvolution are considered. It is shown that the traditional justification of spiking deconvolution is correct only for a minimum-phase wavelet. For a mixed-phase and band-limited wavelet deconvolution solves the problem of expanding the amplitude spectrum within the signal frequency band, and this is achieved by means of autoregressive spectrum estimation.

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Publication Details

Journal
Russian Journal of geophysical technologies
Published
2025-08-31
DOI
https://doi.org/10.18303/2619-1563-2025-1-23
Citations
1
Primary Topic
Neural Networks and Applications
Type
article
Field-Weighted Citation Impact
2.48
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article

What problem and how does the spiking deconvolution algorithm solve

M. S. Denisov
1 citations
Russian Journal of geophysical technologies
Neural Networks and Applications
2.48
article

What problem and how does the spiking deconvolution algorithm solve

M. S. Denisov
article en
1 citations

Abstract

Some aspects of seismic deconvolution are considered. It is shown that the traditional justification of spiking deconvolution is correct only for a minimum-phase wavelet. For a mixed-phase and band-limited wavelet deconvolution solves the problem of expanding the amplitude spectrum within the signal frequency band, and this is achieved by means of autoregressive spectrum estimation.

Russian Journal of geophysical technologies(1)
Laboratoire de Géographie Physique et Environnementale (FR)
Openalex Percentile: Top 9%
Neural Networks and Applications
2.48
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What problem and how does the spiking deconvolution algorithm solve — M. S. Denisov · Russian Journal of geophysical technologies (2025) | TGRS Research Map | TGRS