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基于Donoho模型和高阶统计理论的小波消噪算法研究及其应用 被引量：5

Study and application of wavelet denoising algorithm based on Donoho denoising module and HOS
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摘要 本文结合经典Donoho小波消噪模型,提出了基于高阶统计理论的小波消噪算法。算法在小波分解各尺度引入了高阶统计理论中的四阶累积量方法,从信号和噪声的统计特性出发进行信噪分离。仿真结果验证了本文算法的性能。算法能满足无线电监测系统中对信号进行后续处理的需求。 Based on the Donoho denoising model, the paper presents a wavelet-based denoising algorithm with the fourth-order cumulant in Higher Order Statistics （HOS）. The proposed algorithm introduces the fourth-order analysis method in HOS across all wavelet scales, and detects the signal coefficients from the noise by their different statistics characters. Simulation results show that the proposed algorithm has a remarkable superior ability to denoise. The algorithm can satisfy the demand of signal processing in radio inspection system.
作者 蒋云霄 杨俊安 钟子发 沈辉
机构地区 解放军电子工程学院装备技术研究中心
出处 《电路与系统学报》 CSCD 北大核心 2007年第1期11-14,共4页 Journal of Circuits and Systems
基金 国家自然科学基金资助项目(60171029)
关键词 小波变换 四阶累计量 消噪 无线电监测 wavelet transform fourth-order cumulant denoising radio inspection
分类号 TN958 [电子电信—信号与信息处理]
  • 相关文献

参考文献11

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共引文献5

同被引文献23

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引证文献5

二级引证文献35

电路与系统学报
2007年 第1期

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