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Description: 初学matlab，按照help指导写的一个16qam信号lms均衡的simulink。-Beginner matlab, written in accordance with the help guidance a 16qam signal lms equalizer simulink.
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Author: axuan |
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Description: 1） 借助MATLAB画出误差性能曲面和误差性能曲面的等值曲线；
2） 写出最陡下降法， LMS算法的计算公式（ ）；
3） 用MATLAB产生方差为0.05,均值为0白噪音S(n)，并画出其中一次实现的波形图；
4） 根据2）中的公式，并利用3）中产生的S(n)，在1）中的误差性能曲面的等值曲线上叠加画出采用最陡下降法， LMS法时H(n)的在叠代过程中的轨迹曲线。
5）用MATLAB计算并画出LMS法时 随时间n的变化曲线（对 应S(n)的某一次的一次实现）和e(n)波形；某一次实现的结果并不能从统计的角度反映实验的结果的正确性，为得到具有统计特性的实验结果，可用足够多次的实验结果的平均值作为实验的结果。用MATLAB计算并画出LMS法时J(n)的100次实验结果的平均值随时间n的变化曲线。
6）用MATLAB计算并在1）中的误差性能曲面的等值曲线上叠加画出LMS法时100次实验中的H(n)的平均值的轨迹曲线；
7）对以上实验结果给出一些你认为有价值的讨论。
（在实验中n=1,,…..N,N的取值根据实验情况确定，一般选取足够大以使算法达到基本收敛，本题作业以电子文档PDF格式提供）
-1) With MATLAB to draw the contours of the error performance surface and error performance surface
2) Write down the steepest descent method, the LMS algorithm formula ()
3) using MATLAB variance 0.05, mean 0 white noise S (n), and draw one to achieve the waveform diagram
4) According to the formula 2), and using 3) S (n) produced in 1), the error performance of the contours of the surfaces superimposed on draw using the steepest descent method, the LMS method is H (n) in the iterative process in the trajectory curve.
5) curve to calculate and draw the LMS method using MATLAB with time n (time corresponding to the S (n) of a first implementation) and e (n) waveform reflect a certain time to achieve results not from a statistical point of experiment the correctness of the results obtained with the experimental results of the statistical properties of the available sufficient times the average of the experimental results as a result of the experiment. Calculate and draw the LMS m
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Author: lay |
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Description: matlab平台下对人工神经网络中的LMS等算法进行的实现-the realization of artificial neural network, the LMS algorithm matlab platform
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Size: 56320 |
Author: Reed |
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Description: ADSP中的LMS算法，及其性能分析，matlab环境-ADSP LMS matlab
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Size: 1024 |
Author: 李清 |
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Description: DPD预失真算法的matlab仿真实现,其中包括了LMS,RLS,LS等自适应算法-the digital predistortion algorithm basic on matlab
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Size: 2221056 |
Author: chenmx |
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Description: LMS algorith and DE in matlab
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Size: 1024 |
Author: sekhar |
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Description: GE lms based matlab program
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Size: 1024 |
Author: sekhar |
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Description: LMS算法收敛因子不同的MATLAB的程序-matlab in LMS convergence factor
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Size: 1024 |
Author: 叶紫栀 |
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Description: 基于MATLAB软件的RLS,LMS的均衡器代码-MATLAB software RLS, LMS equalizer code
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Size: 3072 |
Author: 叶紫栀 |
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Description: 基于MATLAB软件的陷波器及另一种LMS算法程序-Notch filter based on MATLAB software and another LMS algorithm
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Size: 1024 |
Author: 叶紫栀 |
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Description: matlab 实现ADSP中LSL算法，信号处理能力优于LMS和RLS-matlab ADSP LSL algorithm, signal processing capabilities better than the LMS and RLS
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Size: 1024 |
Author: 付鼎 |
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Description: 本代码对于应用广泛的LMS和NLMS的各种性能进行了系统的比较，并MATLAB仿真分析比较了两种算法的性能。-The code for the widely used LMS and NLMS variety of performance comparison of the system and MATLAB simulation analysis and comparison of the performance of the two algorithms.
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Size: 10240 |
Author: 韩晶晶 |
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Description: Implementation of LMS-algorithm for linear regression matlab codes
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Size: 2048 |
Author: modjvi |
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Description: 基于RLS算法，NLMS和LMS的自适应滤波器的MATLAB程序-LMS and RLS algorithm performance comparisons, including the right value compared with the
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Size: 2048 |
Author: windwizard |
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Description: matlab程序设权向量初始值为W=[ 1 0 ]T，分别使用步长0.015、0.025和0.05进行 LMS算法仿真。-matlab program set the initial value of the weight vector W = [1 0] T, respectively, and 0.05 for step 0.015,0.025 LMS algorithm simulation.
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Size: 73728 |
Author: zxf |
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Description: 通过分析介绍自适应滤波器中经典算法LMS与RLS的异同，并且运用matlab进行仿真，使得初学者对于matlab在仿真过程的运用有更为直观的理解。并且对于自适应滤波有更清晰的认识。-By analyzing the introduction of classical adaptive filter algorithm LMS and RLS similarities and differences, and the use of matlab simulation, matlab for beginners makes use of the simulation process have a more intuitive understanding. And for adaptive filtering have a clearer understanding.
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Size: 522240 |
Author: crazy |
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Description: 基于Matlab产生光纤陀螺随机噪声和信号，利用固定步长和可调步长的LMS自适应滤波、最小二乘法、滑动均值三种方法进行处理，最后用阿兰方差评价降噪效果。-FOG Based on Matlab generate random noise and signal, using a fixed step size and adjustable step size LMS adaptive filtering, least squares method, the sliding average of three methods for processing, and finally with Alan variance evaluation noise reduction.
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Size: 14336 |
Author: 鲁文帅 |
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Description: 经典自适应算法lms和核自适应算法klms的matlab程序-Classical adaptive algorithm called lms and kernel adaptive algorithm called klms of matlab program
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Size: 1024 |
Author: 王仁 |
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Description: 用matlab实现自适应信号处理中的LCMV（8阵元） 和 v步LMs 算法。 -Adaptive signal processing using matlab to achieve the LCMV (8 array element) and v step LMs algorithm.
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Size: 2048 |
Author: 蒋霞 |
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Description: 传统的宽带信号中抑制正弦干扰的方法是采用陷波器(notch filter),为此需要精确知道干扰正弦的频率.然而当干扰正弦频率是缓慢变化时,且选频率特性要求十分尖锐时,则最好采用自适应噪声抵消的方法.下图是用一个二阶FIR的LMS自适应滤波器消除正弦干扰的一个方案。该代码实现了以下功能：
1) 借助MATLAB画出了滤波器的误差性能曲面和误差性能曲面的等值曲线；
2） 给出了最陡下降法以及LMS算法的计算公式；
3） 用MATLAB产生了方差为0.05, 均值为0白噪音S(n)，并画出某次采样得到的波形；
4） 根据 2）中的公式，并利用 3）中产生的S(n)，在 1）中的误差性能曲面的等值曲线上叠加画出了采用最陡下降法以及LMS法时H(n)的在叠代过程中的轨迹曲线；
5）用MATLAB计算并画出了LMS法时误差随时间n的变化曲线（对应S(n)的某一次的一次实现）和e(n)波形；
6）在 1）中的误差性能曲面的等值曲线上，叠加画出采用LMS法得到的100次实验中的H(n)的平均值的轨迹曲线；
7）最终对结果进行了分析，具体见压缩包的word文档。
-Wideband signal in the conventional sinusoidal interference suppression method is the use notch filter (notch filter), this requires precise knowledge of the frequency of a sinusoidal interference . However, when the interference frequency sinusoidal changes slowly , and the selected frequency characteristic requirements are very sharp , then best use of adaptive noise cancellation method . following figure is a second-order FIR LMS adaptive filter to eliminate a program sinusoidal interference . The code implements the following functions:
A ) draw with MATLAB error performance of the filter surface and the surface contour error performance curve
2 ) gives the steepest descent method and the LMS algorithm formula
3 ) generated using MATLAB variance of 0.05 with a mean of 0 white noise S (n), and draw a particular sampling waveform
4 ) based on 2 ) of the formula , and use 3 ) generated in S (n), in a ) the error performance curves superimposed on the surface contour pl
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Size: 313344 |
Author: 邵曈 |
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