Baseline correction by improved iterative polynomial fitting with automatic threshold

By Feng Gan, Guihua Ruan, J. Mo. 2006

194 citations recorded by the source corpus.

Subfields: Analytical Chemistry, Control and Systems Engineering, Signal Processing

View Paper: https://www.semanticscholar.org/paper/f298389e52bbb61cc918aef457b36ad646ae4f31

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Analytical Chemistry

1. Laurent C. Duval
2. Xiaoran Ning
3. Ivan W. Selesnick
4. Thierry Blu
5. Shen-En Qian

In Control and Systems Engineering

1. Laurent C. Duval
2. Xiaoran Ning
3. Ivan W. Selesnick

In Signal Processing

1. Laurent C. Duval
2. Xiaoran Ning
3. Ivan W. Selesnick
4. Miguel López-Benítez
5. Fei Ma
6. Enggee Lim
7. Tiantian Guo
8. Tongpo Zhang

Citations in the corpus

• Chromatogram baseline estimation and denoising using sparsity (BEADS) (2014, methodology): “The low-pass part of the baseline may be modeled by regular functions, such as low-degree polynomials [33, 59] or (cubic) spline models [19, 23, 12], in conjunction with manual identification, polynomial fitting or iterative thresholding methods [21].”