在雷达成像中脉冲压缩技术使非常重要的一部分，去斜处理的方法是最常使用的

It will allow you to configure camera

A Guide to MATLAB for Beginners and Experienced Users - Hunt Lipsman & Rosenberg

对于蒸发冷凝的相变UDF，给与大家参考,希望与大家多多交流(For evaporation condensation phase transition UDF, give your reference)

北京航空航天大学出版的matlab从零进阶的原程序代码第1章案例21.2源代码(Beijing University of Aeronautics and Astronautics from zero Advanced matlab published the original program code in Chapter 1 Case 21.2 source code)

模糊C均值算法的m文件带自己的解释，希望能给大家一点学习上的帮助。 (fuzzy c-means algorithm m document with its own interpretation, in the hope of giving the public a little bit of learning assistance.)

说明：  对彩色图像进行K均值的图像分割，可用于模式识别(K on the mean color image segmentation, can be used for pattern recognition)

基于图和半监督的学习方法 graph-based and semi-supervised learnign(graph-based and semi-supervised learning)

matlab与HFSS接口例程,适用于matlab中建立模型，在HFSS中仿真模型的电磁特性(matlab and HFSS interface routines for matlab in modeling, simulation model in HFSS electromagnetic properties in)

多种数学迭代方法，包括雅克比法、高斯-赛德尔迭代法、和广义理查德森迭代法。(A variety of mathematical iterative methods, including Jacobi method, Gauss- Seidel iterative method, and the generalized Richardson iterative methods.)

Returns weighted percentiles of a sample given the weight vector w ％ The idea is to give more emphasis in some examples of data as compared to ％ others by giving more weight. For example, we could give lower weights to ％ the outliers. ％ The motivation to write this function is to compute percentiles for Monte ％ Carlos simulations where some simulations are very bad (in terms of goodness ％ of fit between simulated and actual value) than the others and to give ％ the lower weights based on some goodness of fit criteria.(Returns weighted percentiles of a sample given the weight vector w The idea is to give more emphasis in some examples of data as compared to others by giving more weight. For example, we could give lower weights to the outliers. The motivation to write this function is to compute percentiles for Monte Carlos simulations where some simulations are very bad (in terms of goodness of fit between simulated and actual value) than the others and to give the lower weights based on some goodness of fit criteria .)