搜索资源列表
RLS
- 自适应信号处理方面的RLS自适应线性预测算法程序
本自适应LSL算法实现线性预测
- 本自适应LSL算法实现线性预测 以及考察LSL算法的收敛性： 与LMS、RLS算法进行性能比较 -The LSL algorithm adaptive linear prediction and to study the LSL algorithm convergence: the LMS, RLS algorithm performance comparison
RLS
- 递归最小二乘滤波器算法，包含对于单频正弦信号和实际语音信号的处理结果-Recursive least squares filter algorithm, that contains the single-frequency sinusoidal signal and the actual voice signal processing results
grade
- 设有一基于格型梯度算法的预测器，其输入 由的AR模型产生，本程序可以得出自适应预测器的曲线-There is a gradient algorithm based on the lattice of the predictor, the input generated by the AR model, the procedure can be drawn Curve Adaptive Predictor
duobuyuce
- 多部预测自校正控制的算法仿真程序，用matlab写的。用的RLS带遗忘的最小二乘法递推。-Forecast for more than self-tuning control algorithm simulation program, written using matlab. Used in the RLS with forgetting recursive least square method.
RLS
- 应用RLS算法，用Matlab编程实现线性预测.-Application of RLS algorithm, using Matlab linear programming implementation prediction.
rls
- 自适应rls的算法仿真，最后图包括学习曲线，误差权矢量-Rls adaptive algorithm simulation, the final plan, including the learning curve, the error weight vector
rls
- 自己编写的AR过程信号线形预测器RLS算法。-I have written of the AR process of linear prediction RLS algorithm
RLS
- 本程序基于一阶AR模型，u(n)=-0.99u(n-1)+v(n)的线性预测。白噪声v(n)方差0.995.FIR滤波器的抽头数为2.遗忘因子0.98.用RLS算法实现u(n)的线性预测。并附有仿真图片-This procedure is based on a first-order AR model, u (n) =-0.99u (n-1)+v (n) of the linear prediction. White noise v (n) the number of taps of the t
RLS_lichunhua1
- RLS、LMS、LLMS算法实现系统预测-RLS, LMS, LLMS system prediction algorithm
rls_AR_pred
- 使用基本的递归最小二乘算法来预测实值AR过程信号-use basic RLS algorithm to predict real-valued AR process
RLS_
- RLS/LMS/LLMS算法中预测系数的估计和学习曲线对比-RLS/LMS/LLMS algorithm prediction coefficient estimates and the learning curve comparison
RLS
- 基于RLS算法的自适应线性预测,matlab代码，可以一用-Adaptive linear prediction based on RLS algorithm, matlab code, one can use
hspredict
- 利用自适应滤波器对心音信号进行预测，包括了LMS算法，归一化LMS，变步长LMS和RLS算法，其中RLS的预测效果最好.-Heart sound signals using adaptive filter to predict, including the LMS algorithm, the normalized LMS, variable step size LMS and RLS algorithm, in which the best forecast of RLS.
LSL_xingqian
- 最小二乘格型滤波器LSL 1、LSL算法实现线性预测 ； 2、考察LSL算法的收敛性； 3、与LMS、RLS算法进行性能比较。-LSL LMS RLS
TP-RLS
- Recursive Least Square 算法用于预测浊音信号,并计算误差-Recursive Least Square algorithm for predicting voiced signal and calculate the error of estimation
RLS
- 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
MATLAB优化算法案例分析与应用《进阶篇》
- 贝叶斯分类器 基于背景差分的运动目标检测 基于小波变换的图像压缩 基于BP的模型优化预测 基于RLS算法的数据预测 等等(Bias classifier is based on background difference moving object detection, wavelet based image compression, BP based model optimization prediction, RLS based algorithm for data predicti
LMS与RLS对比
- 预测信号由二阶AR模型产生，为二阶线性预测滤波器，LMS算法与RLS算法性能对比(The predicted signal is generated by the two order AR model, and is the two order linear prediction filter,performance comparison between LMS algorithm and RLS algorithm)
RLS算法
- RLS算法对一阶AR模型线性预测，包含完整源码，可以得到最优权值