Introduced in the MATLAB environment using RLS adaptive filter algorithm FLR method.

介绍了在MATLAB环境中采用RLS算法实现FLR自适应滤波器的方法.

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RLS algorithm using adaptive equalizer to correct the existence of additive white noise distortion channel.

研究利用RLS算法自适应均衡器纠正存在加性白噪声的信道的畸变.

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Thus fuzzy neural network controller based on RLS algorithm has a good prospect appliance in practice.

因此基于修正RLS算法 的模糊神经网络控制器应用于实践中有着比较理想的前景.

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Variable forgetting factor ( VFF ) can improve the tracking ability of the RLS algorithm.

可变遗忘因子提高了算法跟踪时变参数的能力.

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The maximum RLS peaks are at 518 nm ( SDS ) and 373 nm ( SDBS ) .

通过实验发现对于SDS和SDBS,最大共振光散射峰位于518 nm 和373 nm 处.

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By a light polarization experiment, the RLS of PAR was demonstrated to be complete polarized light.

光偏振实验表明PAR的散射光为完全偏振光.

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RLS algorithm, the preparation of a MATLAB program to achieve adaptive interference cancellation.

RLS算法, 编写了MATLAB程序实现自适应干扰对消.

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