lihaoyu

搜集到的麻省理工学院的 matlab教程 感觉讲的很不错(Collected MIT matlab tutorial speak very good feeling)

说明：  对标准卡尔曼滤波方法中野值对其滤波精度的影响，提出了基于M估计的野值 处理方法。这种方法不仅可以去除单个野值的影响，而且在野值成片出现时还能很好地保持滤波 稳定性。通过仿真验证了该方法的有效性。(Their filtering accuracy on the standard Kalman filtering method outliers, outliers based on M-estimation approach. This method can not only remove the impact of individual outliers, and opposition values ​ ​ into the film appears to keep the filter can be very stability. The effectiveness of the method is verified by simulation.)

Contrast Stretching with Matlab. Example matlab code and result images.

基于MUSIC算法的DOA估计，利用MUSIC算法进行DOA估计(DOA estimate with MUSIC arithmetic)

压缩感知源代码，观测矩阵采用哈达吗变换。很好的入门代码(Compressed sensing the source code, you transform observation matrix using Hada. Good entry code)

k-means clustring clusters through a fully vectorized algorithm

讲述在移动通信方面的信道估计的原理及研究(Described in the mobile communications channel estimation principle and Research)

粗糙集课件。里面有覆盖粗糙集模型和 Ziarko变精度粗糙集模型以及粗糙集程序(courseware. There are covering rough set model and Ziarko model)

matlab 批量载入数据(matlab load data )

灰度拉伸的小仿真，用了多种尝试，希望对大家有帮助(simulation of Gray stretch, i hope it is usefull to you.)