What question did this study set out to answer?

To establish a computational method combining digital prefiltering with linear least-squares fitting for robust spectral deconvolution and automated background subtraction.

December 1, 1977Analytical Chemistry

Deconvolution and background subtraction by least-squares fitting with prefiltering of spectra

View Full Paper

Ask AI

Bookmark

Authors

PSPeter J. StathamOxford Instruments (United Kingdom)

Discussion

Member takes

Implication

Computational study demonstrates spectral deconvolution and background subtraction using prefiltered least-squares fitting, indicating improved precision in analytical spectroscopy.

Key Points

To establish a computational method combining digital prefiltering with linear least-squares fitting for robust spectral deconvolution and automated background subtraction.
Designed a digital prefiltering transformation applied directly to raw spectroscopic data to suppress slowly varying background signals.
Implemented a linear least-squares regression algorithm to fit prefiltered reference peak profiles to experimental spectra.
Digital prefiltering eliminates continuous background components without requiring manual baseline estimation or complex background modeling.
Prefiltered least-squares fitting deconvolutes severely overlapping spectral peaks, accurately recovering component peak intensities.

Cite This Study

Peter J. Statham (1977) studied this question.

synapsesocial.com/papers/69d76536f44a16d01ef30cb3 https://doi.org/10.1021/ac50022a014

View Full Paper

Ask AI

Bookmark

Implication

Computational study demonstrates spectral deconvolution and background subtraction using prefiltered least-squares fitting, indicating improved precision in analytical spectroscopy.

Deconvolution and background subtraction by least-squares fitting with prefiltering of spectra

Discussion

Member takes

Implication

Key Points

Cite This Study

Deconvolution and background subtraction by least-squares fitting with prefiltering of spectra

Discussion

Member takes

Implication

Key Points

Cite This Study

Also Consider

Also Consider