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基于小波包变换的小麦硬度声学检测方法研究
Study of Wheat Hardness Acoustic Detection Based on Wavelet Packet Transform
【摘要】 提出了一种基于小波包变换的小麦硬度声学检测方法。利用自制的声学装置采集小麦超声信号,通过小波包变换对信号进行分解,求取各子频带能量,提取能够反映小麦硬度指标的特征参数,通过线性回归分析,建立了特征参数与小麦硬度之间的回归模型。实验结果表明,特征参数与小麦硬度之间的线性相关系数r2达到了0.958 9。
【Abstract】 A new acoustic method based on wavelet packet transform was proposed for the wheat hardness detection.The system collected the ultrasound signal of the wheat and exploded it by using the wavelet packet transform,got the sub-band energy of signal and extracted some characteristic parameters.Through linear regression analysis,the regression model between wheat hardness and the characteristic parameters was established.The linear correlation coefficient r2has reached 0.9589.
【关键词】 声学检测;
小麦硬度;
小波包变换;
频带能量;
回归分析;
【Key words】 acoustic detection; wheat hardness; wavelet packet transform; band energy; regression analysis;
【Key words】 acoustic detection; wheat hardness; wavelet packet transform; band energy; regression analysis;
【基金】 “十一五”国家科技支撑计划项目(2008BADA8B04)
- 【文献出处】 农机化研究 ,Journal of Agricultural Mechanization Research , 编辑部邮箱 ,2013年07期
- 【分类号】S512.1
- 【被引频次】4
- 【下载频次】101