Discrimination algorithms

Figure 8.16 shows a principal component plot of that data the classification of which by MVDA was given in Fig. 8.11. It can be seen that a certain structure can be imagined which becomes clearer by the discrimination algorithm.

Using discrimination algorithms, simple signal processing methods can plot response curves such as that shown at the bottom of Figure 9.11. This trace represents the difference in response between the two channels (i.e., the response of the... 

In addition, the differential band shapes for each compound are different, providing another indication of the identity of the quencher. In the event that more than one quencher is presented to the sensor in the same sample, the array response will be a convolution of the response of each quencher, leading to a more complex response profile that will be more difficult to interpret. More elaborate discrimination algorithms are being developed to process responses involving mixtures of quenchers [12],... 

It can detect nerve and blister agent surface contamination at approximately 90 mg/m of nerve and 500 mg/m of HD. Interference is eliminated by using the FT-IR detection/discrimination algorithm at 1250 to 780 cm region. 

We use a thresholding algorithm to discriminate the low level noise from the video CCD. 

Discriminant Analysis (DA) is a multivariate statistical method that generates a set of classification functions that can be used to predict into which of two or more categories an observation is most likely to fall, based on a certain combination of input variables. DA may be more effective than regression for relating groundwater age to major ion hydrochemistry and well construction because it can account for complex, non-continuous relationships between age and each individual variable used in the algorithm while inherently coping with uncertainty in the age values used for... 

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