@article{oai:nagoya.repo.nii.ac.jp:02005408,
 author = {FUJII, Katsunori},
 issue = {1},
 journal = {総合保健体育科学, Nagoya Journal of Health, Physical Fitness & Sports},
 month = {Mar},
 note = {The purpose of this paper is to show that a Wavelet Interpolation Method is most effective for local approximation with judging from comparing with a cubic sline function and to analyze the characteristics of height growth velocity curve. The growth distance curve is interpolated to a longitudinal height growth distance data (age 6 to 17 years old) by the Meyer Wavelet. We present a Wavelet Interpolation Method by describing a growth velocity curve and identifying the peak age, using computer simulation. The statistic of the peak age is used to classify the maturity rate. Then We attempt to describe the mean growth distance and velocity curve respectively based upon classification of maturity type to examine the appearances of a mid-growth spurt and an after-growth spurt.},
 pages = {9--17},
 title = {A comparative interpolation method of WIM and a cubic spline function to longitudinal height data during adolescence in boys},
 volume = {19},
 year = {1996}
}