搜索资源列表
多用户检测器的性能
- 比较LMS，RLS, 和Kalman滤波器多用户检测器的性能-LMS comparison, RLS, and the Kalman filter multi-user detector performance
matlab_algorithms.tar
- 学习通信的人都知道，要进行信号处理的话，算法的编程非常繁琐，这里有一些自适应信号处理的算法，LMS,RLS，MMSE等的算法，希望大家喜欢。-learning communications are aware, the need for signal processing, programming algorithm is very complicated, there is some adaptive signal processing algorithms, LMS, RLS, the MM
zuoye.doc
- 自适应作业 具有很高的学习的价值 其中包括RLS和LMS-adaptive operations with a high learning value including RLS and LMS
jigeshili
- 几个matlab的实力，包括： 非线性微分方程的求解.doc RLS,Demonstration of Wiener filter,LMS filter,Steep-descent algorithm.doc matlab下gabor滤波算法,可以提取图象纹理特征.doc-several Matlab strength, including : non-linear differential equation solving. Doc RLS. Demonstration of Wi
LMS-a-RLS--PGM.docx
- The code uploaded is for LMS/RMS algorithm using matlab
LMS-and-RLs
- 上传RLS和LMS算法仿真案例，对于研究自适应迭代的同学有参考价值-Upload RLS and LMS algorithm simulation cases, for the study of adaptive iterative students have reference value
matlab_up
- Channel with Intersymbol Interference , Laser Ideal, NRZ, PIN, RLS -LMS equalizer
LMS-RLS-
- lms rls回声消除自适应滤波的介绍与说明自适应滤波存在于信号处理、控制、图像处理等许多不同领域，它是一种智能更有针对性的滤波方法，通常用于去噪。-lms rls
代码
- rls算法和lms算法的MATLAB实现，可以直接运行(Rls algorithm and lms algorithm MATLAB implementation, you can run directly)
rls&lsm
- LMS algorithm and RLS algorithm set routines
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.)
LRS
- 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
1
- FLMS Kalman RLS adaptive LMS
FIR_RLS
- RLS滤波算法即递推最小二乘法，其又称为最小二乘法，是最小二乘算法的一类快速算法，递归最小二乘自适应滤波器是对一组已知数据的最佳滤波器,处理过程中没有对输入序列的统计特性做出假定,而是纯决定性的最小化问题。相对于LMS自适应横向滤波器具有更好的性能。(RLS filtering algorithm)
LRSs
- 递归最小二乘(RLS)是一种自适应滤波算法，它可以递归地找到最小化加权线性最小二乘代价函数与输入信号相关的系数。这种方法与其他算法相比较，例如最小均方(LMS)，旨在减少均方误差。在RLS的推导中，输入信号被认为是确定性的，而对于LMS和类似的算法，它们被认为是随机的。(Recursive least squares (RLS) is an adaptive filter algorithm that recursively finds the coefficients that minimiz
Desktop
- 数字预失真中matlab中LMS和RLS算法(LMS and RLS algorithms for MATLAB in digital predistortion)
DBF
- MATLAB采用LMS,MMSE,RLS,SINR,SMI算法实现波束形成(MATLAB uses LMS, MMSE, RLS, SINR and SMI algorithm to realize beamforming.)
(答案与代码)
- 基于lms和rls的自适应滤波器仿真设计源代码(LMS and RLS based adaptive filter simulation design source code.)
源代码
- 基于lms的自适应滤波器仿真设计,已测试可用(Simulation design of adaptive filter based on LMS)
lms
- 亲测好用的基本的自适应波束形成，LMS和RLS，可以在此基础上改进(Adaptive beamforming, LMS and RLS)