chapter3

pca（主成分分析）matlab实现，可以有效的提取数据的主元成分，降低数据矩阵的维数。(pca (Principal Component Analysis) Matlab implementation, can effectively extract data in the main ingredients, reduce the dimension of the data matrix.)

用基于内点法的截断牛顿法来求出lasso问题(The truncated Newton method based on interior point method is used to solve the lasso problem)

三次样条插值函数的三弯矩法，精度较高，值得一看(Cubic spline interpolation function of the three moment method, high accuracy, see)

说明：  支持向量机的matlab具体用法，很好的一篇文档(Support vector machine matlab specific usage)

三维数据矩阵的中值滤波方法，采用快速实现算法(Three-dimensional data matrix median filtering method, using fast algorithm)

it describes about the functionality of MAC layer in wimax implementation

卡尔曼滤波程序，并附有具体的实例，对初学者希望有用(Kalman filtering process, together with specific examples, hope helpful for beginners)

dafx required for many files

satellite image 21213213

非常好的粒子滤波程序:扩展卡尔曼模型下的序列追踪(very good particle filter : Extended Kalman model tracing the sequence)