Denoising and Signal-to-Noise Ratio Enhancement: Derivatives

Comprehensive Chemometrics

Volumn 2, Issue , 2009, Pages 57-66

  Taavitsainen, V M ^a  

^a HELSINKI METROPOLIA UNIVERSITY OF APPLIED SCIENCES   (Finland)

Author keywords

Baseline correction; Derivative; Differences; Differentiation; Numerical differentiation; Peak resolution; Smoothing; Trend removal

Indexed keywords

EID: 78449312926     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1016/B978-044452701-1.00101-0     Document Type: Chapter

References (6)

1. Hoffman J.D. Numerical Methods for Engineers and Scientists 2001, Marcel Dekker, New York. 2nd ed.
2. Foo-Tim C., Yi-Zeng L., Junbin G., Xue-Guang S. Chemometrics, from Basics to Wavelet Transform 2004, Wiley, New York.
3. Savitzky A., Golay M.J.E. Smoothing and Differentiation of Data by Simplified Least Squares Procedure. Anal. Chem. 1964, 36:1627-1639.
4. Madden H.H. Comments on the Savitzky-Golay Convolution Method for Least-Squares Fit Smoothing and Differentiation of Digital Data. Anal. Chem. 1978, 50:1383-1386.
5. Luo J.W., Ying K., He P., Bai J. Properties of Savitzky-Golay Digital Differentiators. Digital Signal Processing 2005, 15:122-136.
6. http://wxmaxima.sourceforge.net.