| 分形信号估计的最佳子波门限方法 |
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| 引用本文： | 梅文博,Lik-kwan Shark.分形信号估计的最佳子波门限方法[J].电子学报,1998,26(4):15-18. |
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| 作者姓名： | 梅文博 Lik-kwan Shark |
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| 作者单位： | 北京理工大学电子工程系 |
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| 摘 要： | 本文提出了一种基于奈曼－皮尔逊（Ｎｅｙｍａｎ－Ｐｅａｒｓｏｎ）准则和最小均方误差准则的，估计淹没在加性白高斯噪声中的１／ｆ类分形信号的最佳子波门限方法，计算机仿真结果证明了该方法的可行性和有效性。
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| 关 键 词： | 分形信号 1／f噪声 信号估计 子波变换 |
分形信号估计的最佳子波门限方法 |
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| Lik-kwan Shark.分形信号估计的最佳子波门限方法[J].Acta Electronica Sinica,1998,26(4):15-18. |
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| Authors: | Lik-kwan Shark |
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| Abstract: | Based on Neyman-Pearson criterion to maximise the probability of signal detection for a givenfalse alarm,and based on the minimum mean-square error between the reconstructed signal and the original sig-nal,this paper presents an optimum wavelet threshold for the estimation of 1/f-type fractal signals embedded inadditive white Gaussian noise.Also presented in this paper are typical computer simulation results to demonstratethe viability and the effectiveness of the proposed optimum wavelet threshold . |
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| Keywords: | Fractal signal l/f noise Signal estimation Wavelet transform |
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