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Full Spectrum Matching Method
The Absolute Value HQI of the unknown from a library entry is calculated as the sum of the absolute difference vector:
Where Lib is the library entry being searched, Unkn is the unknown spectrum, and n is the number of data points in the library entry and reduced unknown spectrum. Since each library or unknown data point is 0 to 1.0, the best match is 0 and the worst is 1.000.
This algorithm does not enhance the spectral differences as much as the Euclidean Distance algorithm and therefore is suitable for cases where there are additional large spikes in the unknown. Spectral regions to be excluded from the calculation by setting the corresponding values in the Lib and Unkn to zero. Note that this algorithm provides poor discrimination among hits. It will typically return many library entries with identical or similar HQI values. | 
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