A Fast Independent Component Analysis Algorithm for Geochemical Anomaly Detection and Its Application to Soil Geochemistry Data Processing

<div class="floats-full-page floats-full-page-figure"><h2>Figure 5</h2><div class="floats-full-page-caption"><table>Oscillogram of the data separated by the FICAA.</table></div><div class="floats-full-page-content"><table class="table-group" width="800px"><tr class="fig-image"><td><img alt="319314.fig.005" src="https://static-01.hindawi.com/articles/jam/volume-2014/319314/figures/319314.fig.005.jpg" /></td></tr></table></div></div>

Figure 5 | A Fast Independent Component Analysis Algorithm for Geochemical Anomaly Detection and Its Application to Soil Geochemistry Data Processing

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Figure 5: A Fast Independent Component Analysis Algorithm for Geochemical Anomaly Detection and Its Application to Soil Geochemistry Data Processing

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Figure 5

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<p><em>Journal of Applied Mathematics</em> publishes original research papers and review articles in all areas of applied, computational, and industrial mathematics.</p>


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