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LMS和RLS自适应算法性能比较-The comparation of LMS and RLS in adapinve signal processing
Update : 2025-02-17 Size : 1kb Publisher : 熊模昌

LMS toolbox LMS的工具箱。 内有多个有关LMS和RLS的m文件!-the toolbox. There are a number of LMS and RLS m documents!
Update : 2025-02-17 Size : 14kb Publisher : 高永博

数字信号处理(机械工业出版社)的源码,7章介绍IIR滤波器设计和matlab源码,8章介绍FIR滤波器设计和matlab源码,9章介绍自适应(LMS,NLMS,RLS,LMS的快速算法)滤波器设计和matlab源码,希望帮助有需要的朋友-digital signal processing (Machinery Industry Press), the source, Chapter 7 IIR filter design and Matlab source, Chapter 8 FIR filter design and Matlab source, adaptive Chapter 9 (LMS, NLMS, RLS, the fast algorithm LMS) filter design and Matlab source, in order to help a friend in need
Update : 2025-02-17 Size : 743kb Publisher : py528977

考虑一个线性自适应均衡器的原理方框图如《现代数字信号处理导论》p.275自适应均衡器应用示意图。用LMS算法实现这个自适应均衡器,画出一次实验的误差平方的收敛曲线,给出最后设计滤波器系数。一次实验的训练序列长度为500。进行20次独立实验,画出误差平方的收敛曲线。给出3个步长值的比较。-consider a linear adaptive equalizer block diagram as the principle of "modern digital signal processing" Introduction to the p.275 adaptive equalizer application schema. LMS algorithm with the adaptive equalizer, painted a square experimental error of convergence curve, given final design filter coefficients. Experimental a length of the training sequence to 500. Conduct 20 separate experiments, painted square error of the convergence curve. Given three step-value comparisons.
Update : 2025-02-17 Size : 4kb Publisher : lidong

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 comparison and analysis (based on the LMS and RLS algorithm).
Update : 2025-02-17 Size : 8kb Publisher : 张文

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用于自适应LMS滤波器的设计以及自适应RLS滤波器的设计-LMS adaptive filter for the design of RLS Adaptive Filter Design
Update : 2025-02-17 Size : 1kb Publisher : liruiyuxia

matlab 自适应滤波 lms很好的-Matlab adaptive filtering lms good!
Update : 2025-02-17 Size : 1kb Publisher :

使用MATLAB工具利用RLS与LMS算法对信道进行均衡-using MATLAB tool use RLS and LMS algorithm in the channel for balance
Update : 2025-02-17 Size : 1kb Publisher : 老何

一篇关于LMS和RLS算法应用于噪声抵消的matalb仿真论文,值得一看。-An article on the LMS and RLS algorithm is applied to noise cancellation of matalb simulation papers, worth a visit.
Update : 2025-02-17 Size : 81kb Publisher : niu

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lms/rls的自适应均衡算法仿真源代码,两个函数打包-lms/rls adaptive equalization algorithm simulation source code, two functions are packaged
Update : 2025-02-17 Size : 2kb Publisher : 袁峰

一个完整的基于LMS和RLS改进算法的语音增强MATLAB程序,包括了输入输出序列和读取数据,自适应增强算法的程序-Based on a complete LMS and RLS algorithms to improve speech enhancement MATLAB procedures, including the input and output sequences and read data, adaptive enhancement algorithm procedure
Update : 2025-02-17 Size : 102kb Publisher : 陈峰

智能天线波束形成的LMS、SMI、RLS算法的程序-Smart antenna beamforming of LMS, SMI, RLS algorithm procedure
Update : 2025-02-17 Size : 1kb Publisher : 王小惠

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RLS和LMS算法仿真,学通信的基础算法,已经运行过~
Update : 2025-02-17 Size : 2kb Publisher : matlab

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rls and kalman comparison with giving input and with a channel
Update : 2025-02-17 Size : 1kb Publisher : yasir

给出了kalman、RLS、LMS三种自适应滤波器的仿真程序,三种滤波器都采用了80次迭代,将仿真值与理论值进行了比较-Given kalman, RLS, LMS adaptive filter simulation program of three, three types of filters are used 80 iterations, the simulated values were compared with the theoretical value
Update : 2025-02-17 Size : 1kb Publisher : 草莓布丁

包括自适应信道均衡器的三种算法和它们的对比:LMS,NLMS,RLS -adaptive channel equalization :LMS,NLMS,RLS
Update : 2025-02-17 Size : 3kb Publisher : allan

rls和LMS的MATLAB仿真程序,供大家参考-rls and LMS in the MATLAB simulation program, for your reference
Update : 2025-02-17 Size : 6kb Publisher : 张福生

比较LMS,RLS, 和Kalman滤波器多用户检测器的性能,包括信干比性能,剩余能量输出性能。-More LMS, RLS, and Kalman filter performance multi-user detector, including the signal to interference ratio performance, the remaining energy output performance.
Update : 2025-02-17 Size : 8kb Publisher : 高维廷

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包含用MATLAB编写的LMS算法和RLS算法的比较程序,运行正确-Contains LMS algorithm using MATLAB and the RLS algorithm comparison, the running correctly
Update : 2025-02-17 Size : 1kb Publisher : liaojiawen

capon波束成形的MVDR响应matlab仿真文件,采用RLS算法(capon beamforming, MVDR, RLS algorithm interation)
Update : 2025-02-17 Size : 1kb Publisher : Gavin野
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