Search - FORGETTING FACTOR RLS

Search - FORGETTING FACTOR RLS - List

[matlab] LMS_RLS DL : 0: LMS和RLS算法性能的比较，包括权值比较、遗忘因子的影响等-LMS and RLS algorithm performance comparisons, including the right value compared with the impact of forgetting factor
Update : 2025-04-04 Size : 3kb Publisher : neal
[Communication-Mobile] LMSRLS DL : 1: 利用MATLAB仿真软件对LMS和RLS两种算法进行仿真，通过仿真比较了两种算法的收敛速度，对两种算法收敛后的误码率进行分析，研究了步长对LMS算法均方误差性能曲线的影响和遗忘因子对RLS算法性能曲线的影响。-Using MATLAB simulation software for two types of LMS and RLS algorithm simulation, the simulation compares the convergence rate of two algorithms, two algorithms for bit error rate after convergence analysis to study the step-size LMS algorithm for the mean square error performance curve the impact and forgetting factor RLS algorithm for the impact of performance curve.
Update : 2025-04-04 Size : 1kb Publisher : shu
[Mathimatics-Numerical algorithms] forgettingfactor DL : 0: 用VB编写的参数估计带遗忘因子递推最小二乘法仿真（RLS）-VB prepared using the parameters estimated with forgetting factor recursive least squares method Simulation (RLS)
Update : 2025-04-04 Size : 22kb Publisher : 凯芯
[matlab] RLS_Algo DL : 0: 功能描述：用matlab语言实现RLS自适应算法函数名：RLS_Algo 输入参数： (1)M:滤波器的阶数 (2)N:LMS算法迭代的次数 (3)lamda:遗忘因子 (4)xn:LMS算法的输入序列输出参数： (1)系数矢量A 调用函数：无被调用：作者：mingcheng 编写时间：2009-10-13 修改时间：2009-10-13 版本：V1.0 -Function Description: The RLS adaptive algorithm matlab language function name: RLS_Algo Input parameters: (1) M: the order of filter (2) N: LMS algorithm the number of iterations (3 ) lamda: forgetting factor (4) xn: LMS algorithm for the input sequence Output parameters: (1) coefficient vector A call the function: No to be called: of: mingcheng write time :2009-10-13 modified :2009-10-13 version: V1.0
Update : 2025-04-04 Size : 1kb Publisher : 赵明诚
[matlab] EFRLS_w DL : 0: kalman filter with Forgetting factor RLS algorithm
Update : 2025-04-04 Size : 1kb Publisher : F.L.
[matlab] RFF DL : 0: 基于matlab的遗忘因子最小二乘递推算法辨识程序-Matlab-based forgetting factor RLS identification procedures
Update : 2025-04-04 Size : 1kb Publisher : 杨波
[VC/MFC] MMSE DL : 0: MMSE忙多用户检测算法的收敛性能分析，比较LMS和RLS算法的收敛性能-MMSE busy multi-user detection algorithm convergence performance analysis, by comparing the convergence of LMS and RLS algorithm performance, simulation and training forgetting factor selected sequence, the simulation results show that the algorithm has a smaller bit error rate performance, can effectively improve the quality of communication .
Update : 2025-04-04 Size : 5kb Publisher : 公会议
[matlab] RLS DL : 0: 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 the variance 0.995.FIR filter 2. Forgetting factor 0.98. U (n) of the linear prediction using the RLS algorithm. With simulation Pictures. .
Update : 2025-04-04 Size : 42kb Publisher : song
[Other] myrls DL : 0: 分析RLS算法中固定遗忘因子的不同取值对算法性能的影响-The experiments show that how the fixed forgetting factor of RLS algorithm affects the performance of algorithm
Update : 2025-04-04 Size : 1kb Publisher : 林亦心
[matlab] RLS_wFF DL : 0: recursive least squares (RLS) with forgetting factor
Update : 2025-04-04 Size : 1kb Publisher : david Rous
[Post-TeleCom sofeware systems] MIMO_OFDM-RLS DL : 0: MIMO-OFDM系统中一种改进的递归最小二乘(RLS)信道估计方法可以在不需要任何信道统计信息的前提下，利用前导训练序列和自适应遗忘因子对信道状态参数进行估计。-The modified recursion lest squares (RLS) channel estimation method exploits preamble training sequences and adaptive forgetting factor to estimate channel state parameters without any prior statistics knowledge of channel in multiple input multiple outputorthogonal frequency division multiplexing (MIMO-OFDM) systems.
Update : 2025-04-04 Size : 938kb Publisher : zhangjg
[matlab] RLS DL : 0: 递推最小二乘法。可设计带遗忘因子的最小二乘法-Recursive least square method. Least squares method with forgetting factor
Update : 2025-04-04 Size : 1kb Publisher : kuangbao
[matlab] RLS DL : 0: 基本最小二乘法、加权最小二乘法（包括一次完成、递推算法）、最小二乘适应算法（包括遗忘因子法、限定记忆法）以及进行偏差补偿的最小二乘法，有详细的文档说明，程序注释也很详尽-The basic method of least squares, weighted least squares method (including a complete, recursive algorithm), least squares adaptation algorithm (including forgetting factor method, limited memory method) as well as bias compensation least squares method, a detailed description of the document, the program Notes also very detailed
Update : 2025-04-04 Size : 133kb Publisher : liushen
[Software Engineering] RLS-with-forgetting-factor DL : 0: the RLS algorithm with forgetting factor
Update : 2025-04-04 Size : 1kb Publisher : arash
[matlab] RLS DL : 0: 锂离子电池内部参数辨识，带有遗忘因子的最小二乘算法(Internal parameter identification of lithium ion battery and least square algorithm with forgetting factor)
Update : 2025-04-04 Size : 256kb Publisher : 投入后一天