Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Improved piecewise orthogonal signal correction algorithm.

Robert N Feudale1, Huwei Tan, Steven D Brown

  • 1Chemometrics Research Group, Department of Chemistry and Biochemistry, University of Delaware, Newark, Delaware 19716, USA.

Applied Spectroscopy
|December 3, 2003
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Collective memory and mental health: Limitations, provocations, possibilities.

Current opinion in psychology·2026
Same author

Modifying Methylene-Tetrahydrofolate Reductase to Disrupt Electron Bifurcation in Clostridium autoethanogenum.

Biotechnology journal·2025
Same author

Addendum: Carbon-negative production of acetone and isopropanol by gas fermentation at industrial pilot scale.

Nature biotechnology·2025
Same author

Clostridium autoethanogenum alters cofactor synthesis, redox metabolism, and lysine-acetylation in response to elevated H<sub>2</sub>:CO feedstock ratios for enhancing carbon capture efficiency.

Biotechnology for biofuels and bioproducts·2024
Same author

Autotrophic adaptive laboratory evolution of the acetogen Clostridium autoethanogenum delivers the gas-fermenting strain LAbrini with superior growth, products, and robustness.

New biotechnology·2024
Same author

Phylogenomics and genetic analysis of solvent-producing Clostridium species.

Scientific data·2024

Piecewise orthogonal signal correction (POSC) improves spectral data processing but can cause artifacts. An updated OSC algorithm is presented to address these limitations, enhancing spectral signal correction for improved regression models.

Area of Science:

  • Chemometrics
  • Spectroscopy
  • Data Analysis

Background:

  • Piecewise orthogonal signal correction (POSC) is a local orthogonal filtering algorithm for spectral signal processing.
  • POSC has demonstrated improvements in partial least squares regression models compared to conventional OSC.
  • Rank deficiencies in POSC can introduce artifacts into filtered spectra when removing multiple components.

Purpose of the Study:

  • To report an updated orthogonal signal correction (OSC) algorithm for use with piecewise procedures.
  • To demonstrate the mathematical derivation of the updated OSC algorithm from its predecessor.
  • To explain the suitability of the reported OSC algorithm for piecewise modeling.

Main Methods:

  • Development of an updated OSC algorithm.

Related Experiment Videos

  • Mathematical derivation of the updated algorithm based on the previous POSC version.
  • Comparative analysis of different OSC versions within a piecewise modeling framework.

    • Main Results:

    • The updated OSC algorithm effectively addresses rank deficiencies present in the original POSC.
    • The new algorithm mitigates spectral artifacts caused by removing multiple components.
    • Demonstration of improved performance of the updated OSC algorithm in piecewise procedures.

    Conclusions:

    • The updated OSC algorithm offers a more robust solution for spectral signal correction in piecewise procedures.
    • This advancement overcomes limitations of previous POSC implementations, reducing spectral artifacts.
    • The reported algorithm is more appropriate for piecewise modeling than other OSC versions.