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UCRL-CONF-224073 Model-Based Signal Processing: Correlation Detection With Synthetic Seismograms A. Rodgers, D. Harris, M. Passages, S. Blair, R. Matt August 30, 2006, American Geophysical Union San
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Model-based signal processing correlation is a technique used in signal processing to analyze the correlation between two signals by using mathematical models.
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The purpose of model-based signal processing correlation is to understand the relationship and correlation between two signals in order to extract useful information or make predictions.
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