搜索资源列表
rls_lms_eq
- rls and lms equalization technique
Affine-projection-algorithm
- 在有色输入下，仿射投影算法(APA)由于具有比最小均方(LMS)算法更快的收敛速度和比递归最小二乘(RLS)算法更低的复杂度而受到青睐。-The APA better improves the convergence rate compared with the LMS-type filters, especially in the case of coloured input signals.
lmsPrls
- 基于RLS及LSM收敛方式所提出的改进方法，大大降低反馈回路的参数更新过程所带来的计算量。-Based on RLS and LMS convergence approach proposed improved method, greatly reducing the amount of calculation parameter update process feedback loop brings.
adapt_filter_arithmetic
- 自适应滤波算法，包括RLS算法和LMS算法。-Adaptive filtering algorithms, including the RLS algorithm and LMS algorithm.
LMSPRLS
- LMS算法仿真和RLS算法仿真两者算法的实现-mplement LMS algorithm and RLS algorithm simulation of both simulation algorithm
ch5
- 最小均方自适应横向型滤波器(LMS)，最小二乘自适应滤波器(RLS)，自适应对消器-Least squares adaptive transverse filter (LMS), least squares adaptive filter (RLS), adaptive canceller
matlab_up
- Channel with Intersymbol Interference , Laser Ideal, NRZ, PIN, RLS -LMS equalizer
Agapoive
- 自适应系数的过渡过程比较与分析 基于LMS和RLS算法比较-Adaptive coefficient of the transition process of comparison and analysis based on LMS and RLS algorithm is compared
opaeumdata
- 自适应系数的过渡过程比较与分析 基于LMS和RLS算法比较-Adaptive coefficient of the transition process of comparison and analysis based on LMS and RLS algorithm is compared
iigh
- 自适应作业 具有很高的学习的价值 其中包括RLS和LMS-Adaptive homework Has the very high value of learning Including the LMS and RLS
epsjf
- 自适应作业 具有很高的学习的价值 其中包括RLS和LMS-Adaptive homework Has the very high value of learning Including the LMS and RLS
tkavnrhepmachinepimmediate
- 自适应系数的过渡过程比较与分析 基于LMS和RLS算法比较-Adaptive coefficient of the transition process of comparison and analysis based on LMS and RLS algorithm is compared
lesrning
- 自适应作业 具有很高的学习的价值 其中包括RLS和LMS(Adaptive homework Has the very high value of learning Including the LMS and RLS)
ljtsdef
- 自适应系数的过渡过程比较与分析 基于LMS和RLS算法比较(Adaptive coefficient of the transition process of comparison and analysis based on LMS and RLS algorithm is compared)
自适应滤波例程
- 是基于Labview的自适应滤波例程，其中信号是模拟动态产生.仅供理解，使用需更改。(This is based on the Labview adaptive filtering routines, where the signal is analog, dynamic generation.For understanding only, using need to be changed.)
3
- 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
FFT
- 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
adaptive filters part2
- 自适应滤波器相关的matlab程序，包含LMS，RLS算法等的实现。由于太大了，所以该资源分为part1和part2两部分。此部分为part2！(matlab codes related to adaptive filters, including LMS and RLS algorithm, etc. the resource is divided to two parts (part1 + part2) cuz it is oversized.)