摘要
为了从跳板响应曲线中了解跳水运动员的起跳状态,通过对跳板在蹬力作用下运动过程的分析,采用了离散小波分解信号,并对时频小波变换相关算法进行改进,只对能量集中的低频逼近信号进行相关估计,避免了高频干扰。结果表明,本文提出的方法能准确地检测出运动员离板的时刻及起跳加速度和速度,为跳水训练提供了依据,具有较强的可行性和实用性。
In order to acquire the diving condition of springboard athlete from response curve, the movement of springboard under the impulsive force of athlete was analyzed, and then discrete wavelet was used to decompose the signal in this paper. Moreover, the algorithm of correlation based on time -frequency wavelet was improved to estimate the relative coefficients of similar signal in low frequency phase, which concentrated most energy, so the interference of high frequency was avoided. The result indicated that the moment when athlete takes off springboard can be found out, as well as jumping acceleration and velocity. It is also showed in this paper that the method, which is helpful to diving training, is feasible and practical.
出处
《电子测量与仪器学报》
CSCD
2006年第4期78-80,85,共4页
Journal of Electronic Measurement and Instrumentation
关键词
小波变换
相关
响应
跳板跳水
起跳
wavelet transform, correlation, response, springboard diving, jumping.