农机化研究Issue(6)：10-13,69,5.
小麦硬度声学检测方法研究--基于小波变换与离散余弦变换
The Wheat Hardness Acoustic Detection Method Research -Based on Wavelet Transform and Discrete Cosine Transform
摘要
Abstract
wheat hardness is an important index for wheat quality evaluation .In this paper , the wheat grain collision ob-jects produce audio test signal analysis , combined with wavelet transform and discrete cosine transform algorithm for wheat audio test signal processing , using the multiresolution feature of wavelet transform and discrete cosine transform energy compression and related ability , extract useful characteristic parameters of linear regression analysis method is adopted to establish the regression model based on these feature parameters .Experiments show that the built model of the linear cor-relation coefficient can reach 0 .957 3 .关键词
小麦硬度/超声信号/小波变换/离散余弦变换/特征提取/线性回归Key words
wheat hardness/ultrasonic signal/wavelet transform/discrete cosine transform/feature extraction/the linear regression分类
农业科技引用本文复制引用
王薇,王爱民,杨红卫..小麦硬度声学检测方法研究--基于小波变换与离散余弦变换[J].农机化研究,2014,(6):10-13,69,5.基金项目
“十二五”国家科技支撑计划项目 （）
