A general method of computing the derivative of experimental data
Lubansky, A.S., Yeow, Y. Leong, Leong, Yee-Kwong, Wickramasinghe, S. Ranil, and Han, Binbing (2006) A general method of computing the derivative of experimental data. AIChE Journal, 52 (1). pp. 323-332.
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View at Publisher Website: http://dx.doi.org/10.1002/aic.10583
Many scientific and engineering investigations require the extraction of the first derivative from experimental data. Direct numerical differentiation is usually impractical because this amplifies the noise in the data, leading to unreliable results. This investigation shows that the problem of differentiating experimental data can be converted into one of solving an integral equation of the first kind. Tikhonov regularization is used to solve this integral equation, leading to a smooth first derivative. By using the built-in regularization parameter in the method noise amplification is kept under control. The performance of this method is demonstrated by applying it to data taken from the literature.
|Item Type:||Article (Refereed Research - C1)|
|Keywords:||numerical differentiation; data interpolation; Tikhonov regularization; generalized cross-validation; inverse problem|
|SEO Codes:||93 EDUCATION AND TRAINING > 9399 Other Education and Training > 939999 Education and Training not elsewhere classified @ 100%|
|Deposited On:||27 Nov 2009 11:46|
|Last Modified:||17 May 2013 00:33|
Last 12 Months: 0
|Citation Counts with External Providers:||Web of Science: 18|
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