42
Views
7
CrossRef citations to date
0
Altmetric
Original Articles

A Wavelet-Based Genetic Algorithm for Compression and De-Noising of Chromatograms

Pages 1899-1915 | Published online: 18 Feb 2008
 

ABSTRACT

A wavelet-based genetic algorithm using real-number coding and arithmetical crossover method in signal processing is described in this work. Due to the characteristic of the wavelet, an analytical signal can be represented by a finite linear combination of wavelet-based functions. Using a wavelet-based genetic algorithm to find the coefficients to such representation, an analytical signal can be reconstructed by the coefficients and the corresponding elementary function. Therefore the method can be used to compress and de-noise analytical signals because the insignificant information such as noise will not be reserved in the reconstructed signal. Both simulated signals and experimental multicomponent chromatograms are successfully compressed and de-noised with the proposed algorithm.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.