A Least Squares Digital Filter for Repetitive Data Acquisition
Journal of Chemical Information and Computer Science
A least-squares digital filter is proposed for impulse-response data acquisition schemes. The filter operates in real time by fitting each signal transient to a filter function. The optimal filter function is found to be the signal waveform for the case of white noise. The signal-to-noise ratio improvement of the filter is proportional to the square root of the number of data points used in the filter-function waveform.
A Least Squares Digital Filter for Repetitive Data Acquisition Scott L. Nickolaisen and Stephen E. Bialkowski Journal of Chemical Information and Computer Science 26 57 1986