tuifeng_V5.2

matlab code for ss.USE THESE FOR CR

adaptive volterra LMS filter for system idetification

create random points in 3d

用LBM方法模拟圆柱绕流，模拟的结果和真实的结果很接近，LBM可以很好的模拟圆柱绕流问题(LBM simulation with the flow around a cylinder, the simulation results and actual results are close, LBM can be a good simulation of flow around a cylinder)

2D双向PCA(2D2PCA),二维主成分分析(2DPCA)的实质是对图像矩阵按行进行图像压缩抽取特征,消除了图像列的相关性.(2D bidirectional PCA (2D2PCA), two-dimensional principal component analysis (2DPCA) real image matrix row the Image Compression extraction characteristics to eliminate the correlation of the image column.)

This file compares three different versions of the Kalman filter. The Kalman filter is used for recursive parameter estimation. The Kalman filter can handle noisy measurements. The first implemented filter (fcn_KF) is the Kalman filter with standard update of the covariance matrix P. The covariance matrix reflects the uncertainties of the predictions. To improve the numerical stability Potter developed a square root update (fcn_KF_SRP) of the covariance matrix P. Another version is the square root covariance update via triangularization (fcn_KF_SRT). This file generates a model. Then the three Kalman filters perform an estimation of the model parameter. At the end the results are compared. Sources: Simon, D. (2006): Optimal state estimation Kaminski, P. (1971): Discrete Square Root Filtering: A Survey of Current Techniques Golub, G. (1996): Matrix Computations

本例用五点差分法求解一个二阶偏微分方程，其间用SOR迭代求解(This example uses a five-point difference method for solving second order partial differential equations, with the SOR iterative solution during)

时间序列ARMA建模实例，包含对数据的平稳性检验、白噪声检验及依据ARMA模型的预测。(ARMA time series modeling examples, including the data stationary test, white noise testing and forecasting based on ARMA model.)

说明：  关于PCM的编码程序，通过输入量化电平，给出经过A律13折线压缩的8位二进制码元，已经经过本人翻译。(On the PCM coding process, by entering the quantization level, is given through the law of 13 Line A compressed 8-bit binary code yuan, has been translated himself.)

说明：  这是一篇关于图象中眼睛和嘴巴的检测与定位的文章(This is an image in the eyes and mouth on the detection and location of the article)