Similarity Principle and its Acoustical Verification
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Abstract
This study finds a similarity principle: the waves emanated from the same source are similar, as long as two wave receivers are close enough. The closer the wave receivers are, the more similar the received waves are. We define the similarity mathematically and verify the similarity principle by acoustical experiments.
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References
Joseph Romano, Neil. Cornish (2017) Detection methods for stochastic gravitational-wave backgrounds: a unified treatment. 20(1), 1-223.
B Sathyaprakash (2013) Gravitational waves and astrophysical sources. 14(4), 272-287.
Wei Cheng, Lintao Liu, Guocheng Wang (2021) A new method for estimating the correlation of seismic waveforms based on the NTFT. 226(1), 368-376.
A Asuero, A Sayago, A González (2006) The Correlation Coefficient: An Overview. 36(1), 41-59.
M Tan, S Yuan, Y Su (2017) A learningbased approach to text image retrieval: using CNN features and improved similarity metrics.
Honghui Xu, Yong Deng (2017) Dependent Evidence Combination Based on Shearman Coefficient and Pearson Coefficient. 6, 11634-11640.
Ebru Temizhan, Hamit Mirtagioglu, Mehmet Mendes (2022) Which Correlation Coefficient Should Be Used for Investigating Relations between Quantitative Variables?. (1).
Q Linhai Jing, A Panahi (2006) Principal component analysis with optimum order sample correlation coefficient for image enhancement. 27(16), 3387-3401.
Ronny Vallejos, Javier Pérez, Aaron Ellison, Andrew Richardson (2019) A spatial concordance correlation coefficient with an application to image analysis.
Natarajan Meghanathan (2015) Correlation Coefficient Analysis of Centrality Metrics for Complex Network Graphs. 11-20.
Zhen Sun, Guocheng Wang, Xiaoqing Su, Xinghui Liang, Lintao Liu (2020) Similarity and delay between two non-narrow-band time signals.
Xiaoqing Su, Lintao Liu, Hsu Houtse, Guocheng Wang (2014) Long-term polar motion prediction using normal time-frequency transform. 88(2), 145-155.
Lintao Liu, Houtse Hsu (2011) Inversion and normalization of time-frequency transform. 2164-2168.
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2022-09-13
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