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最小均方自适应滤波器,两个基本过程 滤波和自适应 不错的-Least mean square adaptive filter, two basic process of filtering and adaptive
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最小均方自适应滤波器,是线性自适应滤波算法 很不错的源码-Least mean square adaptive filter, which is the source code of linear adaptive filter algorithm is very good
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最小均方自适应滤波器,是线性自适应滤波算法 很不错的源码(Least mean square adaptive filter, which is the source code of linear adaptive filter algorithm is very good)
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最小均方自适应滤波器,两个基本过程 滤波和自适应 不错的(Least mean square adaptive filter, two basic process of filtering and adaptive)
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RLS 递归最小二乘滤波器算法！！！！！！！！！！！！！！！！！！！！！(Recursive least squares (RLS) is an adaptive filter algorithm that recursively finds the coefficients that minimize a weighted linear least squares cost function relating to the input signals. This approach is in
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考虑次级声反馈的自适应滤波器算法，基本原理是最小均方误差(Filter X Least Mean Square adaptive filter)
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信道均衡的MATLAB程例，是一个很好的例子，对于做通信信道仿真研究的就有较高的参考和使用价值。(In this example we have a typical channel equalization scenario. We want
to estimate the transmitted sequence with 4-QAM symbols. In
order to accomplish this task we use an ad
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本文从高速数字信号处理器的特点、自适应滤波器的原理及主要应用领域入手，介绍了自适应滤波器的基本理论思想，具体阐述了自适应滤波器的基本原理、算法及设计方法。本文中，对两种最基本的自适应算法，即最小均方误差(LMS)算法和递归最小二乘（RLS)算法进行了详细的介绍和分析，并针对两种算法的优缺点进行了详细的比较。最后用DSP实现了自适应滤波器。实验结果表明，该自适应滤波器滤波效果优越。(Starting from the characteristics of high-speed digital si
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递归最小二乘(RLS)是一种自适应滤波算法，它可以递归地找到最小化加权线性最小二乘代价函数与输入信号相关的系数。这种方法与其他算法相比较，例如最小均方(LMS)，旨在减少均方误差。在RLS的推导中，输入信号被认为是确定性的，而对于LMS和类似的算法，它们被认为是随机的。(Recursive least squares (RLS) is an adaptive filter algorithm that recursively finds the coefficients that minimiz
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A least mean square updating process is used for a parallel structure of a filter where the unknown filter and the adaptive one are arranged in Parallel structure.
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