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This contribution considers semi-blind adaptive equalization for communication systems that employ high-throughput quadrature
amplitude modulation signalling. A minimum number of training symbols, approximately equal to the dimension
of the equal
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用改进的Huber函数，修改了现有的递归最小二乘（RLS）算法的误差函数-With the improvement of Huber function, modified existing recursive least squares (RLS) algorithm of error function
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系统辨识中的递归最小二乘参数估计的matlab程序算法-System Identification of recursive least-squares parameter estimation algorithm matlab program
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把待辨识的过程看作“黑箱”，它只考虑过程的输入输出特性，而不强调过程的内部机理，用递推最小二乘估计算法对系统参数进行辨识-Process to be identified as a " black box" , it considers only the input and output characteristics of the process, rather than emphasis on the internal mechanism of the process, to
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Fast Transversal Recursive least-squares (FT-RLS)
Algorithm
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递推最小二乘参数估计，即递推最小二乘法参数估计算法-Recursive least squares parameter estimation, the recursive least square parameter estimation algorithm
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最小二乘算法，递推最小二乘法，用于参数辨识。-The least squares algorithm, recursive least squares method for parameter identification.
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广义最小二乘的算法结构，广义最小二乘递推的每一步用两步递推算法，先把噪声参数和模型参数均给个初值，然后第一步先假设噪声参数已知，用最小二乘估计出模型参数，第二步再用最新的模型参数来估计噪声参数，如此循环直到辨识精度达到指定要求或者可用数据用完为止-Generalized least squares algorithm structure, generalized recursive least squares every step of the two-step recursive algori
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这个程序是递推最小二乘法，，每取得一次新的观测数据后，就在前一次估计结果的基础上，利用新引入的观测数据对前次估计的结果，根据递推算法进行修正，从而递推地得出新的参数估计值-This procedure is recursive least squares method, for each new observation data, the previous estimated on the basis of the results, the introduction of the new obs
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递归扩展最小二乘算法辨识，内涵完整的程序文件，和world文档说明-Recursive Extended Least Squares algorithm for identification, meaning a complete program files, documentation, and world
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基本最小二乘估计递推算法matlab实现及绘图，以及生成M序列-Basic recursive least squares estimation algorithm and M series
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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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recursive least squares learning algorithm in fuzzy system
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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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基于RLS算法的数据预测与MATLAB实现——
递归最小二乘（RLS)算法是一种典型的数据处理方法，递归最小二乘（RLS)算法在信号自适应滤波分析中广泛应用，递归最小二乘（RLS)算法收敛速度快，且对自相关矩阵特征值的分散性不敏感，然而其计算量较大。-RLS algorithm based on forecast data and MATLAB realization Recursive Least Squares (RLS) algorithm is a typical method
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针对多输入多输出系统的递推最小二乘参数估计算法，该算法适用2输入2输出，修改即可应用-For multiple input multiple output system of recursive least squares parameter estimation algorithms, the algorithm applies two input two output, application changes
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基本最小二乘和加权最小二乘算法程序（包括一次完成算法和递推算法）-Basic least squares and weighted least squares algorithm (including one-time completion algorithm and recursive algorithm)
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好用的,系统辨识中,递推最小二乘估计RLS是辨识模型阶次的一个重要的算法,(Easy-to-use, system identification, the recursive least squares estimate RLS times of order identification model is an important part of the algorithm,)
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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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