COMPUTATION OF WEIGHTING FUNCTIONS FOR SMOOTHING 2-DIMENSIONAL DATA BY LOCAL POLYNOMIAL-APPROXIMATION TECHNIQUES

被引:2
作者
SAKHARUK, TA
机构
[1] Science and Technology Corporation, USSR Academy of Sciences, Institute of Analytical Instrumentation, 198103 Leningrad
关键词
DATA SMOOTHING; SAVITZKY-GOLAY FILTER;
D O I
10.1016/S0003-2670(00)83004-4
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
The problem of smoothing two-dimensional data by a local polynomial approximation technique (i.e., extension of Savitzky-Golay smoothing to two-dimensional applications) is considered. A simple analytical expression is proposed for computing the weighting functions used in the smoothing procedure with a polynomial of any degree and over any interval without loss of data at boundary points. The formulae obtained can be used for two dimensional smoothing by linear smoothing procedures, which considerably decreases the number of required operations.
引用
收藏
页码:331 / 336
页数:6
相关论文
共 6 条
[1]  
DUDGEAN DE, 1984, MULTIDIMENSIONAL PRO
[2]   TWO-DIMENSIONAL CONVOLUTE INTEGERS FOR ANALYTICAL INSTRUMENTATION [J].
EDWARDS, TR .
ANALYTICAL CHEMISTRY, 1982, 54 (09) :1519-1524
[3]   SMOOTHING OF DIGITAL X-RAY PHOTOELECTRON-SPECTRA BY AN EXTENDED SLIDING LEAST-SQUARES APPROACH [J].
PROCTOR, A ;
SHERWOOD, PMA .
ANALYTICAL CHEMISTRY, 1980, 52 (14) :2315-2321
[4]  
RATZLAFF KL, 1989, ANAL CHEM, V61, P1305
[5]   SMOOTHING + DIFFERENTIATION OF DATA BY SIMPLIFIED LEAST SQUARES PROCEDURES [J].
SAVITZKY, A ;
GOLAY, MJE .
ANALYTICAL CHEMISTRY, 1964, 36 (08) :1627-&
[6]  
Wikipedia, 2021, LINEAR REGRESSION