当前位置：
首页 资源下载
搜索资源 - Adaptive minimum mean square error
搜索资源列表
-
2下载：
基于LMS(最小均方误差算法)的自适应滤波 基于LMS(最小均方误差算法)的自适应滤波-based on the LMS (MMSE) algorithm based on the LMS adaptive filtering (minimum mean square error algorithm) the adaptive filtering based on the LMS (minimum mean square error algorithm) Adaptive Filter
-
-
0下载：
LMS软件是用来进行自适应滤波的最小均方误差算法，稍加修改就可以用于自适应噪声对信号分离自适应陷波等。-LMS software is used for adaptive filtering the minimum mean square error algorithm, slight modifications can be used for adaptive noise signal separation Adaptive Notch so.
-
-
0下载：
LMS软件是用来进行自适应滤波的最小均方误差算法，稍加修改就可以用于自适应噪声对消，自适应信号分离、自适应陷波等。-LMS software is used for adaptive filtering the minimum mean square error algorithm, slight modifications can be used for adaptive noise cancellation and adaptive signal separation, such as Ad
-
-
0下载：
LMS软件是用来进行自适应滤波的最小均方误差算法，稍加修改就可以用于自适应噪声对消，自适应信号分离、自适应陷波等。-LMS software is used for adaptive filtering the minimum mean square error algorithm, slight modifications can be used for adaptive noise cancellation and adaptive signal separation, such as Ad
-
-
0下载：
LMS软件是用来进行自适应滤波的最小均方误差算法，稍加修改就可以用于自适应噪声对消，自适应信号分离、自适应陷波等。-LMS software is used for adaptive filtering the minimum mean square error algorithm, slight modifications can be used for adaptive noise cancellation and adaptive signal separation, such as Ad
-
-
0下载：
基于最小均方误差算法的自适应滤波器在仿真源程序-based on the minimum mean square error of the adaptive filter algorithm for the simulation source
-
-
5下载：
基于LMS(最小均方误差算法)的自适应滤波的源程序，基于matlab-based on the LMS (minimum mean square error algorithm) adaptive filtering of the source, based on Matlab
-
-
3下载：
使用C语言实现LMS最小均方误差的自适应滤波器-Using the C language to achieve the minimum mean square error LMS adaptive filter
-
-
0下载：
采用最小均方准则误差的自适应滤波器，根据输入信号的统计特性自动调整其结构参数，以满足某种最佳准则的要求。-Guidelines for use of minimum mean-square error of the adaptive filter, according to statistical characteristics of the input signal automatically adjusting its structural parameters, in order to m
-
-
0下载：
自适应滤波器--最小均方误差法LMS滤波自编程--简明易懂附有注释-Adaptive filter- the minimum mean-square error method LMS filter self-programming- easy to understand annotated
-
-
1下载：
mmse与snr的算法仿真，最小均方误差和最大信噪比，获得自适应算法的最优权，实现抗干扰-mmse snr algorithm and simulation, the minimum mean square error and maximum signal to noise ratio, the right of access to optimal adaptive algorithm to achieve anti-jamming
-
-
0下载：
matlab的各种自适应仿真分析。。自适应信息处理的算法、方案繁多，究其实质可归纳为遵循最小均方误差(Least Mean Square，LMS)准则及最小二乘(Least Square，LS)准则两大类，其他算法大多是这两种算法的演进。-matlab simulation analysis of various adaptive. . Adaptive information processing algorithms, a variety of plans, their essence ca
-
-
3下载：
。本文研究了SC-FDE系统中的最小均方误差判决反馈
均衡（MMSE-DFE）和基于LMS准则的自适应均衡算法，
MATLAB仿真表明，由于LMS自适应均衡算法能有效的跟
踪信道变化并更新均衡器的抽头系数，其性能略优于最小
均方误差判决反馈均衡算法。-. In this paper, the SC-FDE system, the minimum mean square error decision feedback
Equalization (MMSE-DFE) and
-
-
0下载：
自适应滤波中的最小均方误差算法（LMS)仿真程序，可以绘制梯度曲线.-Adaptive filtering in the minimum mean square error algorithm (LMS) simulation program, you can draw the gradient curve.
-
-
0下载：
这是一个自编的最小均方误差的自适应滤波器的程序-This is a self of the minimum mean square error of the adaptive filter procedures
-
-
0下载：
项目采用matlab对强迫零均衡器、最小均方误差均衡器、自适应线性均衡器进行了编程实现，并给出了计算机的仿真结果以及对仿真结果的分析，最后，给出递归最小二乘准则下的均衡器仿真予以比较。-Forced to zero on the project using matlab equalizer, minimum mean square error equalizer, adaptive linear equalizer is programmed to achieve, and gives the
-
-
0下载：
数字信号处理 一阶自适应最小均方误差预测滤波器-Digital signal processing first-order adaptive minimum mean square error of prediction filter
-
-
1下载：
研究了自适应参数谱估计的基本原理，提出了基于最小均方误差(MMSE)准则的LMS格型滤波算法实
现自适应参数谱估计的方法。通过对仿真测试信号和线性调频信号的计算表明，该方法能够在改善谱分辨率的
同时提高运算效率，满足遥测速变信号的处理和分析计算的要求-This paper discusses the principle of adaptive parametric spectrum estimation．It provides an approach to es—
timate po
-
-
0下载：
自适应滤波算法（最小均方误差算法）matlab源码程序-Adaptive filtering algorithm Matlab source program (minimum mean square error algorithm)
-
-
0下载：
自适应最小均方误差滤波器的推导,正则方程,均方误差性能函数的几何意义,梯度法,LMS算法-Derivation of Adaptive Minimum Mean Square Error Filter, Canonical Equation, Geometric Meaning of Mean Square Error Performance Function, Gradient Method, LMS Algorithm
-
