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LMS自适应均衡仿真matlab例子特征值扩散度,步长参数的学习曲线仿真-LMS adaptive equalization Matlab simulation examples eigenvalue proliferation, a step learning curve parameters Simulation
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基于LMS算法的变换域的源程序,里面给出了学习曲线,迭代后的输出曲线-LMS algorithm based on the Domain source, which is a learning curve, the output iterative curve
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基于LMS算法的滤波型算法的源代码,包含有对学习曲线的刻画。迭代后的输出曲线。-LMS algorithm based on the filtering algorithm source code contains the learning curve is given. Iterative the output curve.
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1、文件夹中包含了经典功率谱估计和自适应均衡算法两个实验的所有程序。
2、R.m、LMS.m、LMSmain.m为自适应均衡算法的程序:
R.m用来计算输入信号的自相关矩阵及其特征值;
LMS.m为时域LMS算法,用统计的方法仿真得出不同信道参数和不同步长下的学习曲线; LMSmain.m为实验主程序,按照实验要求中的具体数据得到实验结果和曲线。
3、functionx.m、fzhouqitu.m、spectrum.m、bt.m、bart_lett.m、welch.m、SPE
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本文完成qpsk信号生成,查看频谱图,学习曲线的绘制-This complete qpsk signal generation, see spectrum, LMS learning curve drawing
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LMS算法权值轨迹,学习曲线,误差曲线。MATLAB程序展示,有着良好的分析特性-LMS algorithm weight trajectory, the learning curve, the error curve. MATLAB program display, has a good analysis features
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LMS算法,有关收敛性的问题。算法画出了LMS的学习曲线-LMS algorithm, the convergence problem. LMS algorithm to draw a learning curve
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lms算法演示,自适应信号处理授课内容,画出学习曲线,MATLAB程序-lms algorithm presentation, adaptive signal processing lectures, to draw the learning curve, MATLAB program
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研究利用LMS自适应均衡器纠正存在加性白噪声的信道的畸变。讨论步长参数 和特征值扩散度 对学习曲线的影响。-To examine the use of LMS adaptive equalizer to correct the existence of additive white noise distortion channel. Discussion of step parameters and eigenvalues of the proliferation of degrees of i
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研究利用RLS算法自适应均衡器纠正存在加性白噪声的信道的畸变。讨论特征值扩散度 对学习曲线的影响。 比较RLS算法和LMS算法在不同信噪比情况下的学习曲线。
-RLS algorithm using adaptive equalizer to correct the existence of additive white noise distortion channel. Eigenvalue discussion diffusivity impact on the learning cur
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LMS自适应信道均衡程序以及学习曲线绘制,程序为matlab代码。-LMS adaptive channel equalization process and the learning curve drawing, procedures for the matlab code.
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DFE信道均衡算法及学习曲线绘制程序。程序为matlab代码。-DFE channel equalization algorithm and the learning curve drawing program. Procedures for the matlab code.
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LMS 算法源程序,绘制性能曲线图,误差性能曲线-LMS algorithm source code, rendering the performance curves, the error performance curve
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基于MATLAB实现的LMS和rls算法,通过测试,可以输出学习曲线和误差曲线-MATLAB-based implementation of the LMS and rls algorithms, testing and can output the learning curve and error curve of
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lms算法仿真,及其主要性能分析。步长的影响与学习曲线的分析。-lms algorithm simulation, and its main performance analysis. Step of the analysis and the learning curve.
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LMS算法的matlab程序,同时给出了LMS学习曲线-LMS algorithm matlab program, and gives the LMS learning curve
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FIR 滤波器的自适应模拟,通过收敛性、学习曲线等方面对RLS 算法以及LMS 算法的不同特性进行了比较-FIR Filter simulation, through the convergence of the learning curve compared with the RLS algorithm, as well as the different characteristics of the LMS algorithm
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实现基本的LMS算法和归一化LMS算法学习曲线的比较仿真-LMS algorithm and normalized LMS algorithm learning curve comparing simulation
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里面有DFE、LMS、RLS、NLMS的几种算法的学习曲线的比较,很适合学习和分析,The DFE, LMS, RLS, NLMS several algorithms learning curve comparison, it is suitable for study and analysis
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(1)LMS子程序,简单好用,编写主程序直接调用就可以
(2)实现计算二阶AR过程的理论学习曲线与实际曲线(LMS subroutine(easy to use)and realize the theoretical learning curve and actual curve for calculating the second-order AR process)
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