@article{oai:nagoya.repo.nii.ac.jp:02005973,
 author = {桜井, 伸二 and SAKURAI, Shinji and 池上, 康男 and IKEGAMI, Yasuo},
 issue = {1},
 journal = {総合保健体育科学, Nagoya Journal of Health, Physical Fitness & Sports},
 month = {Mar},
 note = {All kinematic studies utilize data obtained from some type of measurement and data reduction system, which inherently introduces noise into the displacement signal. This noise causes large inaccuracies when velocities and accelerations are determined by direct differentiation. Therefore, some form of additional data treatment, such as digital filtering, is essential. Though digital filtering is superior to reduce the noise, there occur serious problems in using this method. These are 1) difficulty to determine the cut off frequency of the filter objectively and 2) generation of terminal distortion on both ends of data by filtering. Utilizing a simulation and actual data analysis, methods to solve these problems were investigated. Results are as follows : (1) A spectrum analysis of the velocity or acceleration data derived from direct differentiation of non-filtered spatial data was helpful to decide the suitable cut off frequency of the filter. (2) A technique of "finite difference followed by filtering" decreased the terminal distortion, while other conventional techniques, such as often utilized "filtering followed by finite defference" method, were clearly inferior.},
 pages = {95--102},
 title = {フィルムデータの平滑化法について},
 volume = {8},
 year = {1985}
}