搜索资源列表
2LMSE最小均方误差算法
- 模式识别中关于 LMSE最小均方误差算法 一中算法-pattern recognition on the wan minimum mean square error algorithm an algorithm
基于LMS(最小均方误差算法)的自适应滤波的源程序
- 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
最小均方误差算法
- 这是智能天线的最小均方误差算法程序，非常好用，使在matlab中实现的。
基于LMS(最小均方误差算法)的自适应滤波的源程序
- 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
2LMSE最小均方误差算法
- 模式识别中关于 LMSE最小均方误差算法 一中算法-pattern recognition on the wan minimum mean square error algorithm an algorithm
OFDMMMSE
- 在ofdm系统中采用MMSE(最小均方误差)均衡的源代码-in OFDM systems using MMSE (MMSE) balanced source code
minimumvar
- 基于最小均方误差准则的LMS算法对淹没在噪声中的信号进行的有效的提取.-based on the minimum mean square error criteria LMS algorithm drowned in the noise signal the effective extraction.
LMS_matlab
- 自适应最小均方（LMS）算法（基于matlab平台）-adaptive minimum mean square (LMS) algorithm (based on Matlab platform)
ls_mmse_chestimation_ofdm
- 最小二乘，最小均方误差的OFDM信道估计MATLAB代码-least squares, the minimum mean square error of OFDM channel estimation MATLAB code
matlablms
- 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
LSAgai
- 对数谱最小均方误差语音增强算法（LSA-MMSE），对加入有音无音判决进一步提高信噪比，消噪效果非常好。适合各种平稳噪声。-right spectrum minimum mean square error speech enhancement algorithm (LSA- MMSE). sound right to a sound judgment without further improve signal-to-noise rat
kalman
- 卡尔曼滤波的源程序，卡尔曼滤波是以最小均方误差为估计的最佳准则，来寻求一套递推估计的算法。它适合于实时处理和计算机运算。 -Kalman filtering of source code, Kalman filter based on minimum mean square error for estimating the best criteria to search for a recursive estimation algo
square_approach
- 最小均方逼近函数，本程序实现了《数值计算A》中第三章中有关最小均方逼近仿真-Minimum mean-square approximation function, the procedures for the realization of the numerical calculation A in the third chapter on the least mean square approximation simulation
lr_lmmse_estimation
- 基于最小均方误差的方法LMMMSE，对信道参数进行估计。-MMSE-based method LMMMSE, on the estimated channel parameters.
wiener_ch2
- 求解出在最小均方误差滤波器单位冲激函数h(n)。求解过程需要通过利用循环嵌套的编程思想，比较在逐次增加滤波器阶数的过程中得到的最小均方误差与最初设定的最小均方误差的阈值，当达到要求时，可以进一步确定滤波器的阶数。-how to use this function: [hx,hy]=wiener_ch2(w,N)
adaptivefilter
- 归一化最小均方（NLMS）和递归最小二乘法（RLS）解决自适应滤波器的MATLAB源码-Adaptive Filter implementation using nlms & rls algorithms.
LMS
- 用于计算最小均方误差的代码，包含了归一化的uniform函数-Used to calculate the minimum mean square error of the code, including the normalization of the uniform function
chennl
- 最全的信道估计仿真，包括最小二乘法，最小均方误差法，变换域法。-The most complete simulation of channel estimation, including least squares, minimum mean square error method, transform domain methods.
二维最小均方误差TDLMS（主要用于小目标跟踪）
- 二维最小均方误差背景预测算法TDLMS，常用于目标检测，经实测，效果较好(Two dimensional minimum mean square error background prediction algorithm TDLMS, commonly used in target detection, measured, the effect is better)