文件名称:zishiyinglvbo
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摘要:分析了最小均方误差滤波和递归最小二乘滤波算法、自适应滤波的神经网络方法、
基于QR分解的方法、统一模型下的自适应滤波及基于高阶累积量的自适应算法的优缺点，并对自适应滤波算法的未来发展做了展望。
-the author analyzes the minimum mean square error filter and recursive least square filter algorithm, an adaptive filter neural network method,
Based on the decomposition of the QR unified model method, an adaptive filter and based on the cumulant adaptive algorithm of their advantages and disadvantages, and on the
The algorithm is applied to the development of the future is prospected.
基于QR分解的方法、统一模型下的自适应滤波及基于高阶累积量的自适应算法的优缺点，并对自适应滤波算法的未来发展做了展望。
-the author analyzes the minimum mean square error filter and recursive least square filter algorithm, an adaptive filter neural network method,
Based on the decomposition of the QR unified model method, an adaptive filter and based on the cumulant adaptive algorithm of their advantages and disadvantages, and on the
The algorithm is applied to the development of the future is prospected.
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自适应滤波算法综述.kdh