A systolic architecture for spectrometric data correction based on Kalman-spline and LMS filters

Abstract

This paper presents a VLSI implementation of a systolic array architecture for spectrometric measurement data correction using Kalman-spline and LMS filters. The simplicity and regularity of such architecture make it very attractive for VLSI implementation. The design of the processing element and the decision block is explicitly addressed. Synthetic data is used to validate the design and evaluate performance with respect to computing time and accuracy.