Application of a digital signal processor for correction of spectrophotometric measurements

The results of spectrophotometric measurements are subject to systematic errors of an instrumental type which may be partially corrected provided a mathematical model of the instrumental imperfections is identified. It is assumed that this model has the form of an integral, convolution-type equation of the first kind. The correction of the results of measurements, subject to random measurement errors, consists of numerically solving this equation on the basis of these results. A correction algorithm, based on the Tikhonov method of frequency-domain regularization, has been implemented using the DSP 56001 digital signal processor. The results of its application are compared with those obtained by means of PC-MATLAB software for the same synthetic data. It is shown that a considerable gain in speed of computation is attained without significant reduction of the accuracy