Accurate and inexpensive spectral estimation can enable more diverse
applications of multispectral sensing where the light source spectrum
plays a vital role. Optimizing the sensor sensitivities for the
commercially available electric light source can allow manufacturers to
improve the accuracy of sensing systems. Although the spectral
optimization of three sensors resulted in small spectral matching
errors, it is possible to increase the accuracy even further by using
more sensors or changing optimization parameters.
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