LMS_adaptive_filter11

说明：  采用卡尔曼滤波方法，对移动目标的状态进行估计(Kalman filter method is used to estimate the state of moving targets.)

利用K近邻法实现数字识别算法。误差小，识别效率高，网络训练速度快。(K-nearest neighbor algorithm, digital identification algorithm. Error is small, high recognition efficiency and speed of network training.)

运用最小一次范数法对含粗差的实验数据进行抗差估计(Using a minimum norm method with experimental data for gross errors in Robust Estimation)

he files in this package comprise the Matlab implementation of a foreground segmentation algorithm based upon graph cuts, described in: Better Foreground Segmentation Through Graph Cuts, N. Howe & A. Deschamps. Tech report, http://arxiv.org/abs/cs.CV/0401017. The file extractForeground.m contains a sample function that will perform a complete foreground segmentation for static camera video. It uses a number of parameters, which are described in the documentation. An attempt was made to choose sensible default values, but they may need to be adjusted for some videos. More generally, the implementation in extractForeground.m is only a suggestion of how the graph-based segmentation might be used. The same approach can be applied with other (perhaps time-adaptive) background models. The key step is at line 113 of the code, once the deviation array has been created. The graph-cut segmentation can be applied similarly to a deviation matrix computed in any other way.

说明：  仿真LMS均衡器 采用三径叠加信道，PSK调制，并计算误码性能(LMS equalizer simulation using three-path channel superimposed, PSK modulation, and calculate the BER)

Local binary patterns for images

it is about kmedoid clustering

this license manager support forMATLAB R2014a Tool

扭秤法测微小磁场，实验模型需要自己设计。(you can translate chinese into English )

基于纹理特征的LBP 编码， 采用MATLAB语言开发完成。(LBP CODING!)