Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
  • Applied Spectroscopy
  • Vol. 53,
  • Issue 5,
  • pp. 612-617
  • (1999)

Adaptive Signal Enhancement of Laser-Induced Breakdown Spectroscopy

Not Accessible

Your library or personal account may give you access

Abstract

A noise reduction technique to analyze laser-induced breakdown spectroscopy spectra is presented in this paper. This technique is an adaptive-type technique for noise minimization. It is based on an improved adaptive line enhancement to effectively increase the signal-to-noise ratio level in spectral data. It requires no a priori knowledge of the signal or of the noise, and it has the capability of on-line implementation. Medium and weak spectra are considered, and a comparison with traditional techniques is made to illustrate the applicability of the foregoing technique.

PDF Article
More Like This
Laser-induced breakdown spectroscopy enhanced by a micro torch

L. Liu, X. Huang, S. Li, Yao Lu, K. Chen, L. Jiang, J.F. Silvain, and Y.F. Lu
Opt. Express 23(11) 15047-15056 (2015)

Signal enhancement in spark-assisted laser-induced breakdown spectroscopy for discrimination of glioblastoma and oligodendroglioma lesions

Parisa Mohammadimatin, Parviz Parvin, Amir Jafargholi, Amin Jahanbakhshi, Fatemeh Ahmadinouri, Alireza Tabibkhooei, Omid Heidari, and Sareh Salarinejad
Biomed. Opt. Express 14(11) 5795-5816 (2023)

Flame-enhanced laser-induced breakdown spectroscopy

L. Liu, S. Li, X. N. He, X. Huang, C. F. Zhang, L. S. Fan, M. X. Wang, Y. S. Zhou, K. Chen, L. Jiang, J. F. Silvain, and Y. F. Lu
Opt. Express 22(7) 7686-7693 (2014)

Cited By

You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.