| 等变自适应算法在声学特征信号分离中的应用 |
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| 引用本文： | 蔡晓平,陈进,吴军彪,陈少林.等变自适应算法在声学特征信号分离中的应用[J].振动与冲击,2004,23(1):110-112,117. |
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| 作者姓名： | 蔡晓平 陈进 吴军彪 陈少林 |
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| 作者单位： | 上海交通大学振动、冲击、噪声国家重点实验室,上海,200030 |
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| 基金项目： | 国家自然科学基金资助项目 (编号 :50 0 750 52 )，北京市光电转换装置与噪声信号处理技术实验室资助项目 |
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| 摘 要： | 本文介绍了一种高效的盲分离算法——基于独立性的等变自适应分离算法，简称EASI算法(EASI：Equivariant Adaptive Separation via Independence)。为了克服EASI算法依据峭度选择非线性函数的问题，引进了其改进算法。将其运用到声学诊断中，对声混合信号进行频谱分离，得到各声源的特征频谱结构图。EASI及其改进算法经过实验研究，证明了该算法的有效性。
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| 关 键 词： | 等变自适应分离算法 声学特征信号 信号分离 EASI算法 故障诊断 盲分离算法 |
Application of an Efficient Algorithm for Blind Source Separation in Acoustic Diagnosis Field |
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| Cai Xiaoping,Chen Jin,Wu Junbiao,Chen Shaolin.Application of an Efficient Algorithm for Blind Source Separation in Acoustic Diagnosis Field[J].Journal of Vibration and Shock,2004,23(1):110-112,117. |
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| Authors: | Cai Xiaoping Chen Jin Wu Junbiao Chen Shaolin |
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| Abstract: | In the paper an efficient algorithm for blind source separation,called equivariant adaptive separation via independence(EASI) is introduced.Its extended algorithm is also introduced.EASI and its extended algorithm are used in acoustic diagnosis field.With the help of EASI and its extended algorithm as well as the knowledge of fault diagnosis,the mixed signal is seperated to get every source's spectrum.The simulation and experiment demonstrate the effectiveness of the method proposed. |
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| Keywords: | blind source separation fault diagnosis mechanical noise |
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