| ENO(Essentially Non-Oscillatory)形态小波及其在信号处理中的应用 |
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| 引用本文： | 殷志锋,葛新锋.ENO(Essentially Non-Oscillatory)形态小波及其在信号处理中的应用[J].信阳师范学院学报(自然科学版),2014(3):401-405. |
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| 作者姓名： | 殷志锋 葛新锋 |
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| 作者单位： | 许昌学院电气信息工程学院,河南许昌,461000 |
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| 基金项目： | 河南省教育厅科技攻关项目 |
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| 摘 要： | 提出了ENO形态小波算法,利用ENO插值基本无振荡的特性,改进了重构策略,即对原始信号进行形态小波算法分解,按ENO插值法进行重构.把该算法应用到信号处理中,实例分析结果表明,与形态小波相比,该算法取得的效果更好.
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| 关 键 词： | 形态小波 ENO插值 ENO形态小波 信号处理 |
ENO Morphological Wavelet and its Application in Signal Processing |
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| Yin Zhifeng,Ge Xinfeng.ENO Morphological Wavelet and its Application in Signal Processing[J].Journal of Xinyang Teachers College(Natural Science Edition),2014(3):401-405. |
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| Authors: | Yin Zhifeng Ge Xinfeng |
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| Institution: | Yin Zhifeng;Ge Xinfeng;College of Electrical & Information Engineering,Xuchang University; |
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| Abstract: | The one dimension ENO( essentially non-oscillatory) MW( morphological wavelet) algorithm was proposed,the characteristics of ENO interpolation basically without oscillation was used,and the reconstruction strategy was improved. That is,original signal was decomposed by MW algorithm,and reconstructed according to ENO interpolation method. The algorithm was applied to the signal processing. The results showed that the mentioned ENO MW algorithm has better perfermance than the existing MW. |
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| Keywords: | morphological wavelet ( MW) ENO interpolation ENO MW signal process |
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