Systematic Cross-Domain Analysis of Ground Force Signal

Summary Ground force signal quality plays a fundamental role in vibroseis seismic data acquisition. The complex nature of ground force signal generation requires comprehensive analysis across multiple domains for its quality evaluation. This study introduces a cross-domain validation analysis: checking energy distribution patterns in time domain, examining harmonic composition in frequency domain, and tracking phase relationships in analytic domain. By analyzing signal properties across multiple domains, we establish robust quality indicators including temporal integrity patterns, fundamental mode dominance, and phase synchronization measures. When applied to calibration datasets, this cross-domain approach demonstrates clear differentiation between high-quality and low-quality signals. The analysis provides a comprehensive methodology for ground force signal quality assessment while maintaining computational efficiency.

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Published
2025-01-01
DOI
https://doi.org/10.3997/2214-4609.2025641031
Primary Topic
Gait Recognition and Analysis
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article
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article

Systematic Cross-Domain Analysis of Ground Force Signal

H. Almarzooq, Yimin Sun, Mohammed S. Almubarak, WU Wen-xiu
Gait Recognition and Analysis
article

Systematic Cross-Domain Analysis of Ground Force Signal

H. Almarzooq, Yimin Sun, Mohammed S. Almubarak, WU Wen-xiu
article en

Abstract

Summary Ground force signal quality plays a fundamental role in vibroseis seismic data acquisition. The complex nature of ground force signal generation requires comprehensive analysis across multiple domains for its quality evaluation. This study introduces a cross-domain validation analysis: checking energy distribution patterns in time domain, examining harmonic composition in frequency domain, and tracking phase relationships in analytic domain. By analyzing signal properties across multiple domains, we establish robust quality indicators including temporal integrity patterns, fundamental mode dominance, and phase synchronization measures. When applied to calibration datasets, this cross-domain approach demonstrates clear differentiation between high-quality and low-quality signals. The analysis provides a comprehensive methodology for ground force signal quality assessment while maintaining computational efficiency.

Saudi Aramco (United States) (US)
Climate action
Openalex Percentile: Top 83%
Gait Recognition and Analysis
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Systematic Cross-Domain Analysis of Ground Force Signal — H. Almarzooq, Yimin Sun, et al. · (2025) | TGRS Research Map | TGRS