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Description: By building a nonlinear function relationship between an d the error signal，this paper presents a no—
vel variable step size LMS(Least Mean Square)adaptive filtering algorithm．
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Size: 2944 |
Author: 上将 |
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Description: 1、本试验中未知系统采用25阶的FIR滤波器模拟。其通带边缘频率10kHz，阻带边缘频率22kHz，阻带衰减75dB，采样频率50 kHz。
2、自适应滤波器采用基本LMS算法，滤波器阶数为32，更新步长u为1/(4+xn*xn)。LMS自适应算法参见《现代信号处理》第192页。
已经在DSP2812上实现
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Size: 204843 |
Author: sunyee |
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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: 基于Volterra滤波器混沌时间序列多步预测
作者：陆振波，海军工程大学
欢迎同行来信交流与合作，更多文章与程序下载请访问我的个人主页
电子邮件：luzhenbo@sina.com
个人主页：luzhenbo.88uu.com.cn
参考文献：
1、张家树.混沌时间序列的Volterra自适应预测.物理学报.2000.03
2、Scott C.Douglas, Teresa H.-Y. Meng, Normalized Data Nonlinearities for LMS Adaptation. IEEE Trans.Sign.Proc. Vol.42 1994
文件说明：
1、original_MultiStepPred_main.m 程序主文件,直接运行此文件即可
2、original_train.m 训练函数
3、original_test.m 测试函数
4、LorenzData.dll 产生Lorenz离散序列
5、normalize_1.m 归一化
6、PhaSpaRecon.m 相空间重构
7、PhaSpa2VoltCoef.dll 构造 Volterra 自适应 FIR 滤波器的输入信号矢量 Un
8、TrainTestSample_2.m 将特征矩阵前 train_num 个为训练样本，其余为测试样本
9、FIR_NLMS.dll NLMS自适应算法-based Volterra filters chaotic time series multi-step forecast Author : bo, the Navy Engineering from the University of peer welcome exchanges and cooperation, more and download articles please visit my personal web page e-mail : luzhenbo@sina.com WEBSITE : luzhenbo.88uu.com.cn References : 1, and Zhang Shu. the chaotic time series Volterra adaptive prediction. physics reported .2000.03 2, Scott C. Douglas, H.-Y. Teresa Meng, Normalized Data for LMS Adaptation Nonlinearities. IEEE Trans.Sign.Proc . Timing 1994 document : 1, original_MultiStepPred_main.m procedures master file directly run this document can be 2, 3 original_train.m training function, the function tests original_test.m 4, LorenzData.dll have Lorenz five discrete sequence, a normalize_1.m naturalization of six, PhaSpaRecon.m
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Size: 11264 |
Author: 陆振波 |
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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: CCS调试实验文件夹下共有9个文件夹，使用时先将以下所有文件夹拷贝到ti\myprojects下。
一、Hello1 CCS使用实验
二、Volume1 CCS使用实验
三、chenfa 小数乘法实验
四、chufa 小数除法实验
五、Diir IIR滤波器实验
六、Fir FIR滤波器实验
七、Fft0 ffT程序实验
八、Sinbo 信号产生实验
九、LMS 自适应滤波器实验
-CCS debugging experimental folder there were nine folder, first use all of the following folders to copy ti \ myprojects under. 1, Hello1 two experimental use CCS, CCS Volume1 three experimental use, chenfa experimental four decimal multiplication, division chufa decimal experimental 5, Diir IIR filter experimental 6, Fir FIR filter experiment 7, Fft0 ffT eight experimental procedures, Sinbo signal experiment 9, LMS adaptive filter experiment
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Size: 339968 |
Author: |
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Description: By building a nonlinear function relationship between an d the error signal，this paper presents a no—
vel variable step size LMS(Least Mean Square)adaptive filtering algorithm．-By building a nonlinear function relationship between an d the error signal, this paper presents a no-vel variable step size LMS (Least Mean Square) adaptive filtering algorithm.
Platform: |
Size: 3072 |
Author: 上将 |
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Description: 1、本试验中未知系统采用25阶的FIR滤波器模拟。其通带边缘频率10kHz，阻带边缘频率22kHz，阻带衰减75dB，采样频率50 kHz。
2、自适应滤波器采用基本LMS算法，滤波器阶数为32，更新步长u为1/(4+xn*xn)。LMS自适应算法参见《现代信号处理》第192页。
已经在DSP2812上实现-1, the test system uses a 25 unknown band analog FIR filter. The passband edge frequency 10kHz, stopband edge frequency 22kHz, stopband attenuation 75dB, sampling frequency 50 kHz. 2, using the basic LMS adaptive filter algorithm, filter order of 32 to update the step size u for the 1/(4+ Xn* xn). LMS adaptive algorithm, see
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Size: 204800 |
Author: sunyee |
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Description: LMS滤波器示例程序，在TURBOC中运行
这是一个简单的可图形显示的C程序
输入信号是一个被噪声污染了的sin信号。 */
/* 运行后，屏幕的上方是输入信号，下方是经过LMS滤波后的输出信号
-LMS filter sample programs, run in TurboC This is a simple graphical display can process the C input signal is a noise contaminated signal sin.*//* Running, the top of the screen is the input signal, the bottom is the result after the LMS filter output signal
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Size: 4096 |
Author: 蜗牛 |
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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: 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: 均方误差最小LMS算法，s为一个wav格式的音频文件。FIR滤波器长度为5。-LMS
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Size: 51200 |
Author: FY |
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Description: 本程序利用自适应LMS算法实现FIR最佳维纳滤波器。可用于观察影响自适应LMS算法收敛性，收敛速度以及失调量的各种因素-This procedure using adaptive LMS algorithm is optimal FIR Wiener filter. Can be used to observe the impact of adaptive LMS algorithm convergence, convergence speed and the amount of imbalance in the various factors that
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Size: 1024 |
Author: yunguangmei |
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Description: 基于FIR滤波器的自适用滤波器的实现 vhDL语言-FIR LMS
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Size: 1024 |
Author: hejianhua |
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Description: 自适应滤波器是一种参数可自适应调整的有限冲激响应(FIR)数字滤波器，具有非递归结构形式。介绍了自适应滤波器的基本原理，用LMS自适应算法来仿真，得到LMS算法在自适应滤波中的收敛特性。-Adaptive filter is an adaptive adjustment of parameters can be finite impulse response (FIR) digital filter, with a non-recursive structure. Describes the basic principles of adaptive filter with LMS adaptive algorithm simulation, LMS algorithm in adaptive filtering convergence characteristics.
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Size: 47104 |
Author: Ling Li |
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Description: lms算法函数，lms算法的基本理论，实现LMS的FIR滤波-LMS algorithm function, the LMS algorithm principle, realization of LMS FIR filter
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Size: 1024 |
Author: he jia |
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Description: fir结构的lms算法，可用于噪声消除，参数估计(The LMS algorithm of fir structure can be used for noise elimination and parameter estimation)
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Size: 2048 |
Author: wjwbbc |
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