MVDR和RLS实现了单波束形成

无线传感实验代码 用IAR直接打开，就可使用-Zigbee test

Matlab表情识别，特征脸[1 ]作为面部表情分类的方法。首先，利用训练图像创建低维人脸空间（pca）。这是通过训练图像集主成分分析（PCA）及图片主成分分析（即具有较大特征值的特征向量）获得的。 结果，所有的测试图像以所选择的主成分表示，计算投影图像与所有投影列车图像的欧几里得距离，选择最小值以找出与试验图像最相似的训练图像。(The feature face [1] is used as a facial expression classification method. Firstly, a low-dimensional face space (pca) is created using training images. This is obtained by training principal component analysis (PCA) of image set and principal component analysis of image (i.e. eigenvectors with larger eigenvalues). As a result, all the test images are represented by the selected principal components, the Euclidean distance between the projected image and all the projected train images is calculated, and the minimum value is selected to find the training image most similar to the test image.)

2D Savitzky-Golay Smoothing Differentiation Filter(2-D Savitzky-Golay (SG) Smoothing and Differentiation Filter. The filter coefficients are calculated from the decomposation property of the 2-D SG filters. In addition, the filter coefficients for mixed partial derivative can be obtained by this function. h=sgsdf_2d3(x,y,nx,ny,d,flag_coupling)x = x data point, e.g.,-3:3 (both odd-length)

说明：  libsvm的svmtrain与svmpredict的各个参数的含义(The meaning of libsvm's svmtrain and svmpredict's parameters)

该Simulink仿真模型基于锂电池的二阶RC模型，采用扩展卡尔曼滤波算法实现锂电池的SOC估计。(The Simulink simulation model is based on the second-order RC model of lithium batteries, and the extended Kalman filter algorithm is used to estimate the SOC of lithium batteries.)

说明：  一款非常简洁的浮动标签提交表单用户界面设计效果(A very simple floating label submission form user interface design effect)

实现小球移动随机移动，设置背景。完成小程序(rqt study you are fist qtstudy)

计算球顶圆锥的RCS程序，输入频率和角度，球锥的外形尺寸等，得到其RCS。这个程序是俺老师给的，只供参考-calculated cone-top RCS procedures input frequency and angle of the cone-shape size, to be its RCS. The program is the teacher I have for the use of reference

OPC DA Server 2.0的实现，实现了异步及订阅的方式(The implementation of OPC DA Server 2 implements asynchronous and subscription methods)

SPI_Master_verilog_code