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Description: 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
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Author: py528977 |
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Description: 一个matlab实现IIR、FIR、LMS、NLMS等算法的m代码-a Matlab IIR, FIR, LMS, NLMS algorithm code m
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Size: 129879 |
Author: 郑良德 |
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Description: 一个matlab实现IIR、FIR、LMS、NLMS等算法的m代码
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Size: 129883 |
Author: lby4599 |
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Description: 利用自适应LMS 算法,实现FIR最佳维纳滤波器。-using adaptive LMS algorithm to achieve the best Wiener FIR filter.
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Size: 4096 |
Author: 开心 |
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Description: 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
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Size: 760832 |
Author: py528977 |
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Description: 一个matlab实现IIR、FIR、LMS、NLMS等算法的m代码-a Matlab IIR, FIR, LMS, NLMS algorithm code m
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Size: 130048 |
Author: 郑良德 |
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Description: 此程序为本人编写的神经网络法设计1型FIR滤波器的程序，读者读此程序后，可以很深刻地理解如何用BP网络和LMS算法来设计滤波器。
只需更改程序中的H值，即可生成各种低通，高通，带通，带阻滤波器。程序运行结果可得到滤波器系数，幅频曲线和衰减曲线。
可通过更改迭代步长和误差极限来调整滤波器特性。-I prepared for this procedure the neural network type 1 FIR filter design procedures, the reader after reading this program, it is a profound understanding of how to use BP network and the LMS algorithm to design filters. Just change the procedures in H values, to generate a variety of low-pass, high pass, band-pass, band stop filter. Program is running the results of available filter coefficients, amplitude-frequency curve and the attenuation curve. Can change the iteration step size and error to adjust the filter characteristics of the limit.
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Size: 1024 |
Author: 黄翔东 |
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Description: Fir滤波器，Matlab程序，使用切比雪夫算法。-Fir filter, Matlab, the use of Chebyshev algorithm.
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Size: 21504 |
Author: liwei |
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Description: ％％ Active Noise Control Using a Filtered-X LMS FIR Adaptive Filter
％ This demonstration illustrates the application of adaptive filters to the
％ attenuation of acoustic noise via active noise control.
- Active Noise Control Using a Filtered-X LMS FIR Adaptive Filter This demonstration illustrates the application of adaptive filters to the attenuation of acoustic noise via active noise control.
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Size: 3072 |
Author: 呙涛 |
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Description: 自适应滤波器。自适应滤波器为11个权系数的FIR结构。（1）不同的方差σ2（2）LMS算法画出一次实验的误差平方收敛曲线，训练长度为500，给出滤波器系数；进行20次独立实验，给出平均收敛曲线。不同步长值的比较。（3）RLS算法，LMS和RLS算法的比较
-Adaptive filter. Adaptive filter weights for 11 of the FIR structure. (1) different variance σ2 (2) LMS algorithm for an experiment to draw square error convergence curve, the training length is 500, given filter coefficient conduct 20 independent experiments, given the average convergence curve. Are not synchronized long value comparison. (3) RLS algorithm, LMS and RLS Algorithms
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Size: 5120 |
Author: 梁上泉 |
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Description: 采用一种快速收敛变步长LMS（Least mean square ） 自适应最小均方算法matlab源程序，其中算法所做的工作是用FIR 滤波器的预测系统，对IIR系统进行预测，如果阶数越高越能逼近被预测系统。-Using a fast convergence of variable step size LMS (Least mean square) adaptive least mean square algorithm matlab source, one of algorithm is the work done by FIR prediction filter systems, prediction of IIR systems, if the higher order the more it can be prediction system approximation.
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Size: 1024 |
Author: 杨思科 |
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Description: Active Noise Control Using a Filtered-X LMS FIR Adaptive Filter.
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Size: 817152 |
Author: chrispin |
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Description: 一个实现LMS的自适应FIR滤波器的代码-An implementation of the LMS adaptive FIR filter code
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Size: 1024 |
Author: 叶海 |
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Description: 用matlab实现LMS自适应算法，20阶的fir滤波器，自适应效果非常好。-Matlab LMS adaptive algorithm, two order of fir filter, the adaptive effect is very good.
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Size: 1024 |
Author: 王岩 |
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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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Author: 邵曈 |
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Description: 1、系统仅处于训练状态。训练序列为2cos(2π×f1×n/fs)，
干扰为sin(2π×f2×n/fs)；序列长度为100个样点。
其中n=0…99，f1=1kHz，f2=2kHz，fs=8kHz。
2、采用LMS算法，均衡器输入为训练序列加上干扰，均衡器阶数为21阶，步长因子β=0.01。
3、在Matlab中编写浮点LMS算法，绘制均衡器的输出波形，并与训练序列进行对比。
-1, the system only in the training status. The training sequence is 2cos (2πf1n/fs), interference sin (2πf2n/fs) sequence length of 100 samples. Where n = 0 ... 99, f1 = 1kHz, f2 = 2kHz, fs = 8kHz. 2, using LMS algorithm, the input to the equalizer training sequence plus interference equalizer order is 21 bands, step factor β = 0.01. 3, the preparation of the floating-point LMS algorithm in Matlab, draw the output waveform equalizer, and with the training sequence comparison.
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Author: 老三 |
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Description: 一个matlab实现IIR,FIR,LMS,NLMS等算法的m代码 不错的-A matlab IIR and FIR, LMS, NLMS algorithm such as m code is good
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Size: 94208 |
Author: Warwer |
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Description: 一个matlab实现IIR,FIR,LMS,NLMS等算法的m代码 不错的-A matlab IIR and FIR, LMS, NLMS algorithm such as m code is good
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Size: 94208 |
Author: requesg |
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Description: 一个matlab实现IIR,FIR,LMS,NLMS等算法的m代码 不错的(A matlab IIR and FIR, LMS, NLMS algorithm such as m code is good)
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Size: 94208 |
Author: MB%2D14558
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