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

Adaptive numerical morphological filter for identifying chromatographic signals.

F Chen1, S Hu, M Yu

  • 1Intelligence Information Engineering Institution, Zhejiang University, HangZhou, China.

Journal of Chromatography. A
|October 9, 1999
PubMed
Summary

A new morphological algorithm effectively filters impulsive noise from chromatographic signals, outperforming traditional median filters with less signal distortion. Adaptive scale morphological filtering provides excellent results for chromatographic data analysis.

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

Inhibition of nuclear transcription factor-kappaB by specific IkappaB kinase peptide inhibitor.

Pharmaceutical research·2002
Same author

A perfusion-cell bleeding culture strategy for enhancing the productivity of eicosapentaenoic acid by Nitzschia laevis.

Applied microbiology and biotechnology·2002
Same author

A model for deepwater oil/gas blowouts.

Marine pollution bulletin·2002
Same author

Chemical syntheses of caffeoyl and 5-OH coniferyl aldehydes and alcohols and determination of lignin O-methyltransferase activities in dicot and monocot species.

Phytochemistry·2001
Same author

[Integrin alpha IIb beta 3 and signal transduction of blood platelets].

Zhonghua xue ye xue za zhi = Zhonghua xueyexue zazhi·2001
Same author

[Experience in 237 patients undergoing infrarenal abdominal aortic aneurysm operations].

Zhonghua wai ke za zhi [Chinese journal of surgery]·2001

Area of Science:

  • Analytical Chemistry
  • Signal Processing

Background:

  • Chromatographic signals are often contaminated by impulsive noise, which can obscure important analytical information.
  • Conventional noise reduction techniques, such as median filtering, may introduce signal distortion while removing noise.

Purpose of the Study:

  • To develop and evaluate a novel morphological algorithm for filtering impulsive noise in chromatographic signals.
  • To compare the performance of the proposed algorithm against conventional median filtering methods.

Main Methods:

  • A morphological filtering algorithm was designed to target and remove impulsive noise.
  • The proposed algorithm was tested on chromatographic data and compared with median filtering.
  • An adaptive scale parameter was incorporated into the morphological filter for optimized performance.

Related Experiment Videos

Main Results:

  • The morphological algorithm demonstrated a superior filtering effect compared to median filtering.
  • The proposed method exhibited significantly less signal distortion than conventional techniques.
  • The morphological filter with an adaptive scale achieved particularly effective noise reduction.

Conclusions:

  • Morphological filtering offers an advantageous approach for impulsive noise removal in chromatography.
  • The adaptive scale morphological filter provides a robust and accurate method for enhancing chromatographic signal quality.