【精品】(1964) Smoothing and differentiation of data by simplified least squares procedures 下载积分: 800 内容提示: Downloaded by OULU UNIV on October 15, 2009 | http://pubs.acs.org Publication Date: July 1, 1964 | doi: 10.1021/ac60214a047 ...
Smoothing and differentiation of data by Tikhonov and fractional derivative tools, applied to surface‐enhanced Raman scattering (SERS) spectra of crystal violet dyeSERS spectroscopySTATISTICAL smoothingRAMAN spectroscopyRAMAN scatteringGENTIAN violetREGULARIZATION parameter...
(1964) Smoothing and differentiation of data by simplified least squares procedures D o w n l o a d e d b y O U L U U N I V o n O c t o b e r 15, 2009 | h t t p ://p u b s .a c s .o r g P u b l i c a t i o n D a t e : J u...
Smoothing and Differentiation of Data by Simplified Least Squares Procedures In attempting to analyze, on digital computers, data from basically continuous physical experiments, numerical methods of performing familiar operations must be developed. The operations of differentiation and filtering are especially...
Marchand, P., and L. Marmet, Binomial smoothing filter: A way to avoid some pitfalls of least square polynomial smoothing, Rev. Sci. Instrum., 54, 1034-41, 1983. Savitzky, A., and M.J.E. Golay, Smoothing and differentiation of data by simplified least squares procedures, Analytical Chem...
The advent of the digital computer has allowed workers in the field of biomechanics to perform data smoothing and time differentiation numerically. The methods which are most commonly used are spline functions and digital filtering. This paper provides raw displacement-time data for an object falling...
The Savitzky–Golay (SG) smoothing filter is applied to cone calorimeter mass data in order to obtain superior estimates of both sample mass and mass loss rate as functions of time, when compared with traditional numerical differentiation procedures. The smoothing polynomial is differentiated and the...
The Savitzky–Golay smoothing and differentiation filter optimally fits a set of data points to a polynomial in the least-squares sense. The Savitzky–Golay filter has been developed and generalized well in the literatures. However, the data subset is subject to an odd number ( 2 m + 1 )....
[2] A. Savitzky and M. J. E. Golay, "Smoothing and Differentiation of Data by Simplified Least Squares Procedures," Analytical Chemistry, vol. 36, pp. 1627-1639, 1964. [3] K. L. Ratzlaff and J. T. Johnson, "Computation of Two-Dimensional Polynomial Least-Squares Convolution Smoothin...
[1]A. Savitzky and M. J. E. Golay, "Smoothing and Differentiation of Data by Simplified Least Squares Procedures," Analytical Chemistry, vol. 36, pp. 1627-1639, 1964. [2]P. A. Gorry, "General Least-Squares Smoothing and Differentiation by the Convolution (Savitzky-Go...