Description: 一些数学处理函数,包括:用窗函数方法设计线性相位FIR数字滤波器、归一化最小均方(LMS)算法的自适应数字滤波器-Deal with some mathematical functions, including: window function designed with linear phase FIR digital filter, normalized least mean square (LMS) algorithm for adaptive digital filter Platform: |
Size: 4096 |
Author:chenjie |
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Description: 一些数学处理函数,包括:用频域最小误差平方方法设计线性相位FIR低通数字滤波器、最小均方(LMS)算法的自适应数字滤波、离散小波变化函数-Deal with some mathematical functions, including: use of frequency domain methods of design of the smallest square error linear phase FIR low-pass digital filter, least mean square (LMS) algorithm for adaptive digital filtering, discrete wavelet function changes Platform: |
Size: 3072 |
Author:chenjie |
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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 Platform: |
Size: 4096 |
Author:蜗牛 |
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Description: 如何设计和制造最佳的或最优的滤波器。最佳滤波器是指能够根据某一最佳准则进行滤波的滤波器。
维纳滤波器最小均方误差准则
(滤波器的输出信号与需要信号之差的均方值最小)
最大输出信噪比准则最佳滤波器最小二乘准则最佳滤波器统计检测准则最佳滤波器在一定条件下,这些最佳滤波器与维纳滤波器是等价的。
-How to design and create the best or the best filter. The best filter is the best according to a filter filtering criteria. Wiener filter MMSE criteria (filter output signal with the need to signal the difference between the mean square value of the minimum) the maximum output signal-to-noise criteria for the best filter criteria for the best least-squares statistical detection filter the best filter criteria in certain conditions, these best filter and Wiener filter are equivalent. Platform: |
Size: 1688576 |
Author:宋 |
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Description: LMS算法MatLab实现
LMS自适应滤波器是使滤波器的输出信号与期望响应之间的误差的均方值为最小,因此称为最小均方(LMS)自适应滤波器。-MatLab realize LMS algorithm LMS adaptive filter is to filter the output signal in response to and expectations of the error between the mean square value of the smallest, so called the least mean square (LMS) adaptive filter. Platform: |
Size: 158720 |
Author:jj |
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Description: LMS自适应滤波器是使滤波器的输出信号与期望响应之间的误差的均方值为最小,因此称为最小均方(LMS)自适应滤波器。-LMS adaptive filter is to filter the output signal in response to and expectations of the error between the mean square value of the smallest, so called the least mean square (LMS) adaptive filter. Platform: |
Size: 47104 |
Author:jj |
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Description: 递归式最小均方(RLS)算法的基本思想是力图使在每个时刻对所有已输入信号而言重估的平方误差的加权和最小,这使得RLS算法对非平稳信号的适应性要好。与LMS算法相比,RLS算法采用时间平均,因此,所得出的最优滤波器依赖于用于计算平均值的样本数,而LMS(NLMS)算法是基于集平均而设计的,因此稳定环境下LMS(NLMS)算法在不同计算条件下的结果是一致的-Recursive least-mean-square (RLS) algorithm for the basic idea is to try to make in every moment of all the input signal in terms of re-evaluation of the weighted squared error and the smallest, which allows non-stationary RLS algorithm for adaptive signal better. Compared with the LMS algorithm, RLS algorithm uses the average time, therefore, the resulting optimal filter depends on the used to calculate the average number of samples, and the LMS (NLMS) algorithm is designed based on set average, and therefore a stable environment LMS (NLMS) algorithm in different conditions, the results of the calculation is consistent Platform: |
Size: 3072 |
Author:闫丰 |
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Description: 归一化最小均方(LMS)自适应数字滤波,带测试主程序。-Normalized least mean square (LMS) adaptive digital filter with the test main program. Platform: |
Size: 1024 |
Author:chenlili |
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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. Platform: |
Size: 1024 |
Author:杨思科 |
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Description: 本文件介绍采用最小均方算法的自适应横向滤波器,pdf文件内含有相应的MATLAB程序及仿真结果等。-This document describes the use of least mean square adaptive transversal filter algorithm, pdf file containing the appropriate procedures and simulation results of MATLAB. Platform: |
Size: 91136 |
Author:mutestome |
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Description: Adaptive Echo Canceller Using a Modified LMS Algorithm
Abstract –– In this paper, an echo canceller is presented, using an adaptive filter with a modified LMS (Least Mean Square) algorithm, where this modification is achieved coding error on conventional LMS algorithm. simulation results, show a better convergence speed than conventional LMS algorithm, furthermore, Coded Error algorithm presents lesscomplexity for digital adaptive filters design, due to reduction of floating point operations.
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Size: 1024 |
Author:venkat |
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Description: 本程序为将最小均方自适应算法用于二阶横向滤波器,实现权向量分析-This program is the least mean square adaptive algorithm for second-order transversal filter to achieve the right of vector analysis Platform: |
Size: 1024 |
Author:轻扬 |
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Description: this program tells about the least mean square filter and its performance in minimizing the noise. Platform: |
Size: 2048 |
Author:shivakumar |
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Description: It has adaptive fiter algorithms such as Least mean Square algorithm and Recursive least mean square algorithm matlab codes. Platform: |
Size: 6144 |
Author:hari |
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Description: MATLAB codes for adaptive filtering using least mean square, nominal LMS and Wiener filter using forward linear prediction and backward linear prediction. Platform: |
Size: 176128 |
Author:MHQ
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