A Least Squares Digital Filter for Repetitive Data Acquisition
Document Type
Article
Journal/Book Title
Journal of Chemical Information and Computer Science
Publication Date
1986
Volume
26
First Page
57
Abstract
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.
Recommended Citation
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
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