| 基于核独立成分分析的声信号去噪方法 |
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| 引用本文： | 杨旭,张学渊,李宝清.基于核独立成分分析的声信号去噪方法[J].传感器与微系统,2011,30(11):43-45,48. |
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| 作者姓名： | 杨旭 张学渊 李宝清 |
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| 作者单位： | 中国科学院上海微系统与信息技术研究所无线传感网络实验室,上海,200051 |
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| 基金项目： | 国家重大科技专项基金资助项目(2010ZX03006-004); 国家“973”计划资助项目(2011CB302906) |
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| 摘 要： | 野外环境无线传感侦查网络中的声识别技术面临着复杂的自然环境噪声的挑战,尤其是由强风噪声造成的影响.独立成分分析(ICA)方法是一种能够较好地解决这种复杂环境去噪的方法.引入一种基于核方法的非线性ICA方法一核独立成分分析(KICA).基于该算法,针对强风噪声的特性,设计一种应用于单声传感器降噪的方案.通过降噪仿真实验,...
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| 关 键 词： | 核独立成分分析 独立成分分析 无线传感侦查网络 声信号 降噪 |
A denoising method for acoustic signal based on kernel independent component analysis |
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| YANG Xu,ZHANG Xue-yuan,LI Bao-qing.A denoising method for acoustic signal based on kernel independent component analysis[J].Transducer and Microsystem Technology,2011,30(11):43-45,48. |
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| Authors: | YANG Xu ZHANG Xue-yuan LI Bao-qing |
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| Affiliation: | YANG Xu,ZHANG Xue-yuan,LI Bao-qing(Wireless Sensor Networks Lab,Shanghai Institute of Micro-system and Information Technology,Chinese Academy of Sciences,Shanghai 200051,China) |
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| Abstract: | The acoustic recognition technology in wireless sensor surveillance network in wild environment is facing the challenge of the complicated and strong acoustic noise,especially the effect of the wind noise.Independent component analysis(ICA)method has a good performance in denoising in complicated environment.On the basis of kernel independent component analysis(KICA),a denoising scheme for single acoustic sensor is designed.It is a typical nonlinear independent component analysis method.Through denoising si... |
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| Keywords: | kernel independent component analysis(KICA) independent component analysis(ICA) wireless sensor surveillance networks acoustic signal denoising |
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