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自适应滤波器的核心是自适应算法。最小均方算法(LMS) 和递归最小二次方算法RLS) 。通过对这两种算法的推导过程,可以清楚的了解到自适应算法的理论体系,-Adaptive filter is the core of adaptive algorithm. Least mean square algorithm (LMS) and recursive least quadratic algorithm RLS). Through the derivation of these two algor
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This paper compares performance of nite impulse
response (FIR) adaptive linear equalizers based on the recursive least-squares (RLS) and least mean square(LMS) algorithms in nonstationary uncorrelated scattering wireless channels. Simulation resul
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1. 问题描述
在一个n*n的棋盘上，一个放在棋盘上某个位置的马是否可以恰好访问每个方格一次，并且回到起始位置上？
2. 回溯法的一般思路
深度优先搜索，若寻找到满足要求的解，则输出；否则推回上一层往下一个方向搜索。
3. 求解问题的回溯算法描述
对于当前所在位置（x，y），依次枚举n个方向搜索，直到找到一组可行解为止。使用剪枝有3处：第一、使用Warnsdorff s rule，枚举当前解得时候优先选择下一步可行步数最少的方向；第二、若第一点中的方向存在不止一个，则优先选择
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this simulation does the steepest descent algorithm, least nean square and the recursive least squares estimation of the parameters of a system
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The least square method, recursive calculation
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最小二乘一次完成算法和最小二乘递推算法，希望有所帮助-The least square one time algorithm and the least square recursive algorithm, hope to help
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The Recursive least squares (RLS) is an adaptive filter which recursively finds the coefficients that minimize a weighted linear least squares cost function relating to the input signals. This is in contrast to other algorithms such as the least mean
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It has adaptive fiter algorithms such as Least mean Square algorithm and Recursive least mean square algorithm matlab codes.
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用递推阻尼最小二乘法对数学模型进行参数辨识-Witn recursive damped least square method for mathematical model parameters are identified.
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recursive least mean square adatpive filtering with examples
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lms与rls算法比较,MATLAB 程序仿真，比较两种自适应滤波算法。最小均方(LMS)、递归最小二乘(RLS)(LMS and RLS algorithm comparison, MATLAB program simulation, comparison of two adaptive filtering algorithm. Least mean square (LMS) and recursive least squares (RLS))
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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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对基于LMS(最小均方)、NLMS（归一化最小均方）、RLS（递归最小二乘）算法的自适应噪声抵消系统进行MATLAB仿真，发现这几种算法都能从高背景噪声中有效地抑制干扰提取出有用信号，显示出了良好的的收敛性能，相比之下RLS算法去噪效果较好，呈现出更快的收敛速度，更强的稳定性和抑噪能力(the principle of LMS (minimum mean square), NLMS (normalized least mean square), RLS (recursive least squa
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递推阻尼最小二乘法，动态系统模型系统辨识(Recursive damping least square method)
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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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最小二乘递归算法仿真及其推广应用，很好地实现了最小二乘法(Least square recursive algorithm simulation and its popularization and application, the least square method is well realized.)
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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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最小二乘法锂电池模拟，带遗忘因子的递推最小二乘法模拟。(The least squares method is used to simulate lithium battery and recursive least square method with forgetting factor.)
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在电机参数随着系统运行变化时，通过递推最小二乘法在线参数辨识获得实时更新的电气参数，减小系统运行的误差(When the motor parameters change with the system operation, the real-time updated electrical parameters are obtained by the recursive least square method on-line parameter identification, and the er
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基于递归最小二乘算法在线辨识锂离子电池一阶模型参数。(The first order model parameters of lithium ion battery are identified online based on recursive least square algorithm.)
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