Description: In 1960, R.E. Kalman published his famous paper describing a recursive solution
to the discrete-data linear filtering problem. Since that time, due in large part to advances
in digital computing, the Kalman filter has been the subject of extensive research
and application, particularly in the area of autonomous or assisted
navigation.-In 1960, R. E. Kalman published his famous paper describ ing a recursive solution to the discrete-data l inear filtering problem. Since that time, due in large part to advances in digital computi Vi, the Kalman filter has been the subject of extens ive research and application. particularly in the area of autonomous or assis ted navigation. Platform: |
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Author:上将 |
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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 Platform: |
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Author:邵曈 |
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Description: RLS_LMS code the Least Mean Squares (LMS) and the Recursive Least. Squares (RLS) algorithms realize the design and simulation of adaptive algorithms in noise canceling, and ... of two algorithms .The adaptive filter with MATLAB are simulated and the . Platform: |
Size: 2048 |
Author:metal |
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Description: 在MATLAB中，使用LMS算法实现自适应均衡器，通过改变收敛因子和滤波器阶数就可以仿真均衡器的收敛速度和精度，其程序代码如下：-In MATLAB, using the LMS algorithm with adaptive equalizer convergence factor and by changing the order of the filter can be simulated on the equalizer convergence speed and precision, the program code is as follows: Platform: |
Size: 1024 |
Author:yhr |
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Description: 以matlab開發各種適應性演算法，代碼包含DSANC、FFTANC、LMS、N-LMS、RVSS及測試main檔。適應性濾波器本案例以兩種farvoice及nearvoice測試通過，表示可濾除各種echo雜訊可能。-To develop a variety of adaptive algorithm matlab code contains DSANC, FFTANC, LMS, N-LMS, RVSS and testing main gear. Adaptive filter in this case two farvoice and nearvoice tested, indicating that can filter out various echo noise possible. Platform: |
Size: 366592 |
Author: |
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