计算机工程与应用Issue(23)：203-206,4.DOI:10.3778/j.issn.1002-8331.1202-0357
基于双谱和支持向量机的小麦碰撞声分类研究
Study on classification of wheat impact acoustic signals based on bispectrum and support vector machine
摘要
Abstract
In order to realize the automatic classification of wheat kernels, a new approach that combines the bispectrum and support vector machine is introduced to classify and recognise wheat impact sounds of undamaged kernels, insect damaged ker-nels and moldy kernels. The impact acoustic signals are processed by bispectrum estimation. Features in bispectrum and diago-nal slices spectrum are extracted. Then the features are classified in support vector machine. The recognition accuracy rates in classification of undamaged kernel, insect damaged kernel and moldy kernel are above 84%. The experimental results show that this research has a more comprehensive value in application, and it provides a new method for wheat kernels classification.关键词
小麦碰撞声/双谱估计/支持向量机Key words
wheat impact acoustic signals/bispectrum estimation/support vector machine分类
信息技术与安全科学引用本文复制引用
张严严,郭敏..基于双谱和支持向量机的小麦碰撞声分类研究[J].计算机工程与应用,2013,(23):203-206,4.基金项目
国家自然科学基金（No.10974130）；陕西省教育厅科研计划项目（No.11JK0519）。 （）
