Improved blind-source separation for spectra

被引：7

作者：

Rowlands, Christopher J. ^{[1
]}

Elliott, Stephen R. ^{[1
]}

机构：

[1] Univ Cambridge, Univ Chem Lab, Cambridge CB2 1EW, England

来源：

JOURNAL OF RAMAN SPECTROSCOPY | 2011年 / 42卷 / 09期

关键词：

independent component analysis; blind source separation; signal processing; smoothness; INDEPENDENT COMPONENT ANALYSIS; ALGORITHMS;

D O I：

10.1002/jrs.2936

中图分类号：

O433 [光谱学];

学科分类号：

0703 ; 070302 ;

摘要：

A new method is proposed that improves the performance of independent component analysis (ICA) algorithms for separating overlapping spectra under certain circumstances. The method is designed for Raman spectra in particular, although it should be applicable to spectra with similar line shapes, such as nuclear magnetic resonance. In the zero-noise case, conventional ICA fails to separate synthetic Raman spectra completely; by maximising smoothness, as opposed to other more traditional measures of statistical independence, better performance can be achieved. The new method is tested against artificial and real Raman spectra, and demonstrates improved performance for each. The algorithm is fully automated, requiring no user input or judgement in order to separate the spectra. Copyright (C) 2011 John Wiley & Sons, Ltd.

引用

页码：1761 / 1768

页数：8

共 23 条

[11]

GOBINET C, P 29 ANN INT C IEEE, P6207

[12] Fast and robust fixed-point algorithms for independent component analysis [J].

Hyvärinen, A .

IEEE TRANSACTIONS ON NEURAL NETWORKS, 1999, 10 (03) :626-634

[13]

Hyvärinen A, 2001, INDEPENDENT COMPONENT ANALYSIS: PRINCIPLES AND PRACTICE, P71

[14] Independent component analysis:: algorithms and applications [J].

Hyvärinen, A ;

Oja, E .

NEURAL NETWORKS, 2000, 13 (4-5) :411-430

[15] Anti-stokes Raman spectrometry with 1064-nm excitation: An effective instrumental approach for field detection of explosives [J].

Lewis, ML ;

Lewis, IR ;

Griffiths, PR .

APPLIED SPECTROSCOPY, 2004, 58 (04) :420-427

[16]

McCreery R.L., 2000, CHEM ANAL SERIES MON, V157

[17] Denoising of spectra with no user input: a spline-smoothing algorithm [J].

Rowlands, Christopher J. ;

Elliott, Stephen R. .

JOURNAL OF RAMAN SPECTROSCOPY, 2011, 42 (03) :370-376

[18] SMOOTHING + DIFFERENTIATION OF DATA BY SIMPLIFIED LEAST SQUARES PROCEDURES [J].

SAVITZKY, A ;

GOLAY, MJE .

ANALYTICAL CHEMISTRY, 1964, 36 (08) :1627-&

[19] Automated estimation of white Gaussian noise level in a spectrum with or without spike noise using a spectral shifting technique [J].

Schulze, H. Georg ;

Yu, Marcia M. L. ;

Addison, Christopher J. ;

Blades, Michael W. ;

Turner, Robin F. B. .

APPLIED SPECTROSCOPY, 2006, 60 (07) :820-825

[20] Extraction of chemical information from complex analytical signals by a non-negative independent component analysis [J].

Shao, Xueguang ;

Liu, Zhichao ;

Cai, Wensheng .

ANALYST, 2009, 134 (10) :2095-2099

← 1 2 3 →