搜索资源列表
LMS
- 最小均方差（LMS）滤波器时延估计算法的Matlab实现-Matlab achieve minimum mean square (LMS) filter delay estimation algorithm
ch
- 自适应滤波的ppt教程，非常经典，我们上课用的就是这个，很容易理解-Adaptive filtering ppt tutorial, very classic, we have used in this class, it is easy to understand
lms_nlms_rls_by_matlab
- 本文件包括了关于自适应滤波器matlab实现的主流模拟仿真，其中包括lms，nlms，rls等等，供交流经验-This document includes the adaptive filter on matlab simulation to achieve the mainstream, including the lms, nlms, rls, etc., for exchange of experience
AdaptiveequalizerbasedonLMSalgorithm
- 基于matlab用LMS算法实现了自适应均衡器，画出了一次实验的误差平方的收敛曲线，并给出最后设计滤波器系数。-Matlab-based algorithm using LMS adaptive equalizer, draw a square of experimental error convergence curve, and gives the final design of the filter coefficients.
RLSxiebojiance
- 以自适应线性组合器为时变谐波检测器的模型, 根据逆归最小乘自适应滤波算法较好的跟踪性能, 使之应用于时变谐波的跟踪检测。仿真表明该方法比以往的基于最小均方 自适应滤波算法的谐波幅值和相位参数的测定具有更好的跟踪效果。-Adaptive linear combiner with harmonic detector is too variable model, according to inverse normalized least square adaptive filter algorit
Designandrealizationofadaptivenoisecancellerbasedo
- 阐述了自适应噪声抵消(ANC)技术的基本原理,基于自适应滤波器的原理,设计了自适应噪声抵消器 在对自适应滤波器相关理论研究的基础上,重点研究了自适应噪声抵消器的核心———LMS自适应滤波算法。在MATLAB中的Simulink下,建立了自适应噪声抵消器的模型,并通过设置不同的参数进行仿真,结果表明系统能够有效地从噪声中恢复出原始信号。最后对系统进行了性能分析,给出了自适应噪声抵消系统在实际应用中选取参考信号的要求 -This paper elaborated the basic theory
PerformanceAnalysisoftheDeficientLengthLMSAdaptiv
- In almost all analyzes of the least mean-square (LMS) finite impulse response (FIR) adaptive algorithm, it is assumed that the length of the adaptive filter is equal to that of the unknown system impulse response. However, in many practical sit
adaptivedigitalfilters
- lms adaptive filter的块实现-block implementation of lms adaptive filter
AdaptiveLinearPredictionFilter-LMS
- Advanced Digital Signal Processing Adaptive Linear Prediction Filter
lmsalgo
- adaptive filter lms algoritms
adaptive-lms
- 有源自适应噪声的最常用算法，该算法是基于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。-Active adaptive noise most commonly used algorithm, which is based on the error between the filter output signal and the desired response minimum mean-square value.
Matlab
- 基于LMS算法自适应滤波器的Matlab仿真分析-LMS adaptive filter algorithm based on Matlab simulation analysis
LMS
- LMS filter to solve the system identification problem
adaptive-lpf1
- matlab code for adaptive lms filter
binary-lms
- designing of fir filter by adaptive algorithm like binary lms algorithm
LMS
- MATLAB实验报告，基于LMS自适应滤波器的应用仿真-MATLAB lab reports, based on LMS adaptive filter Application Simulation
A-Variable-Data-Block-Length-LMS-Algorithm-for-Se
- A Variable Data Block Length LMS Algorithm for Second-Order Volterra Filter
Normalized-LMS-adaptive-filter
- 归一化LMS自适应滤波算法的matlab仿真及DSP实现-Normalized LMS adaptive filter algorithm MATLAB simulation and DSP Implementation
Image-filter.tar
- 提出了一种基于改进 BP 神经网络和粒子群优化算法( PSO) 的图像滤波方法 。该方法利用双曲正切形式 的误差函数代替 BP 神经网络传统的最小均方误差函数( LMS),并将改进后的 BP 神经网络利用 PSO 算法优 化,用来减小图像噪声对神经网络精度的影响以及避免神经网络陷入局部极小值点,从而提高神经网络去噪能 力。实验结果表明,与传统滤波方法相比,该方法不仅能有效地滤除图像中的高斯噪声而且能很好地保护图像 细节 。- U63D0 u51FA u4E86 u4E00
adaptive filter
- 介绍了噪声抵消的原理和从强噪声背景中自适应滤波提取有用信号的方法，并对最小均 方 (LMS, Least Mean Squares) 、归一化 LMS(NLMS, Normalized Least Mean Squares) 和递推最小二乘 (RLS, Recursive Least Squares) 三种基本自适应算法进行了对比研究。计算机模拟仿真结果表明，这 几种算法都能通过有效抑制各种干扰来提高强噪声背景中的信号检测特性。相比之下， RLS 算法 具有良好的收敛性