| 亚、超高斯信号后非线性混合盲分离的一种块自适应算法 |
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| 引用本文： | 陈阳,杨绿溪,何振亚.亚、超高斯信号后非线性混合盲分离的一种块自适应算法[J].东南大学学报,2000,16(2):1-9. |
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| 作者姓名： | 陈阳 杨绿溪 何振亚 |
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| 作者单位： | 东南大学无线电工程系!南京210096 |
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| 基金项目： | TheprojectsupportedbytheNationalNatureScienceFoundationofChina (6 9872 0 0 9) |
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| 摘 要： | 本文研究了后非线性混合信号的盲分离 .后非线性混合信号是由线性混合的每一路信号分别经过一个非线性畸变产生的 .因此分离这种信号需要在适用于线性混合的线性分离结构前放置一个用于补偿非线性畸变的非线性校正部分 .本文用一种最大似然方法推导了一般后非线性分离结构的学习公式 .在前人一些工作的基础上 ,提出了一种用于亚、超高斯信号后非线性混合的盲分离算法 .该算法用多层感知器对分离结构的非线性校正部分进行建模 ,迭代过程中根据一稳定性条件在分别适用于亚、超高斯信号的概率模型间进行切换并以块自适应方式工作 .通过对模拟信号及实际信号 (图像和语音 )的实验证明了该算法的有效性 .
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| 关 键 词： | 信号盲分离 神经网络 非线性混合 亚、超高斯 |
A Block-Adaptive Blind Separation Algorithm for Post-Nonlinear Mixture of Sub-and Super-Gaussian Signals |
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| Chen Yang,Yang Luxi,HE Zhenya.A Block-Adaptive Blind Separation Algorithm for Post-Nonlinear Mixture of Sub-and Super-Gaussian Signals[J].Journal of Southeast University(English Edition),2000,16(2):1-9. |
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| Authors: | Chen Yang Yang Luxi HE Zhenya |
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| Abstract: | The problem of blind separation of signals in post nonlinear mixture is addressed in this paper. The post nonlinear mixture is formed by a component wise nonlinear distortion after the linear mixture. Hence a nonlinear adjusting part placed in front of the linear separation structure is needed to compensate for the distortion in separating such signals. The learning rules for the post nonlinear separation structure are derived by a maximum likelihood approach. An algorithm for blind separation of post nonlinearly mixed sub and super Gaussian signals is proposed based on some previous work. Multilayer perceptrons are used in this algorithm to model the nonlinear part of the separation structure. The algorithm switches between sub and super Gaussian probability models during learning according to a stability condition and operates in a block adaptive manner. The effectiveness of the algorithm is verified by experiments on simulated and real world signals. |
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| Keywords: | blind separation neural networks nonlinear mixture sub and super Gaussian |
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