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。讨论特征值扩散度 对学习曲线的影响。 比较RLS算法和LMS算法在不同信噪比情况下的学习曲线。 -RLS algorithm using adaptive equalizer to correct the existence of additive white noise distortion channel. Eigenvalue discussion diffusivity impact on the learning cur

RLS自适应均衡算法实 例例RLS自适应均衡算法实例-RLS algorithm for adaptive equalization algorithm for real examples of cases of RLS RLS adaptive equalization algorithm in adaptive equalization

LMS 和 RLS算法matlab程序，该算法用于数字信号处理-LMS and RLS algorithm matlab program, the algorithms used in digital signal processing

rls神经网络模型在matlab中的程序实现-rls neural network model in matlab program to achieve

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