97658215dsisoftv5

detection des rectangles avec la transformée de hough

Arrays list Classification

matlab从零到进阶的程序文件,按章节分类(matlab from zero to advanced program files)

multipath_chann.m 多径信道仿真(multipath_chann.m multipath_chann.m)

最经典的分簇路由LEACH，用matlab实现( a classic clustering routing for wireless sensor networks)

arps说明文档，使用教程以及相关代码说明(arps users guide)

迭代加权最小二乘法（IRLS），用以恢复压缩采样后的信号(Iteratively Reweighted Least Squares Minimizaion for Sparse Recovery)

In statistics, an expectation-maximization (EM) algorithm is a method for finding maximum likelihood or maximum a posteriori (MAP) estimates of parameters in statistical models, where the model depends on unobserved latent variables. EM is an iterative method which alternates between performing an expectation (E) step, which computes the expectation of the log-likelihood evaluated using the current estimate for the latent variables, and a maximization (M) step, which computes parameters maximizing the expected log-likelihood found on the E step. These parameter-estimates are then used to determine the distribution of the latent variables in the next E step.

气象通量处理程序，里面有坐标旋转,能量谱分析等代码(Meteorological flux handler coordinate rotation energy spectrum analysis code)

捷联惯导仿真，对于初学捷联惯导的人有很大的帮助(SINS simulation SINS for the beginner who has a lot of help)