Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
  • Applied Spectroscopy
  • Vol. 48,
  • Issue 1,
  • pp. 13-20
  • (1994)

Generalized Gans–Gill Method for Smoothing and Differentiation of Composite Profiles in Practice

Not Accessible

Your library or personal account may give you access

Abstract

A comparison has been made of the effectiveness of smoothing and differentiating Savitzky-Golay filters in terms of the minimization of total error criterion. The advantages of multipassing filters based on quartic/quintic (for smoothing) and cubic/quartic (for differentiation) polynomials have been proved. A generalized method is proposed for the choice of polynomial length, for both smoothing and differentiating filters, in the fine-structure analysis of composite spectra. This method follows the suggestion of P. Gans and G. B. Gill to locate an inflection point on the curve of variance of residuals between observed and smoothed spectra with respect to the polynomial length of the filter applied. A block diagram of the computer program is shown for optimum choice of polynomial lengths, and an example of its application in the analysis of the fine structure of an experimental multiplet band system is demonstrated.

PDF Article
More Like This
Transport-of-intensity phase imaging using Savitzky-Golay differentiation filter - theory and applications

Chao Zuo, Qian Chen, Yingjie Yu, and Anand Asundi
Opt. Express 21(5) 5346-5362 (2013)

Generation of a smooth temporal pulse envelope and phase profiles in a parametric amplification process

Wenkai Li, Yun Chen, Yanyan Li, Yi Xu, Xiaoyang Guo, Jun Lu, Fenxiang Wu, Xinliang Wang, Shuai Li, and Yuxin Leng
J. Opt. Soc. Am. B 33(12) 2450-2456 (2016)

Simple parameterized coordinate transformation method for deep- and smooth-profile gratings

Xihong Xu and Lifeng Li
Opt. Lett. 39(23) 6644-6647 (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.