gprmax2d_readprofile

里面有对img格式文件的读取方式，还有对图像进行低通和高通滤波的方法。(There is on img file format, and read the image low-pass and high-pass filter method.)

这是一个彩色图片转换为弧度图片转换的程序。可将灰度图片进行任意部分的存储，并存储在给定位置。(This is a process of changing color image into gray image. In the sanmetime ,it can srore any part of the gray image into the given place.)

CLSPSO：用混沌粒子群优化算法求解无约束优化问题 (CLSPSO: Chaos particle swarm optimization algorithm for solving unconstrained optimization problems)

说明：  svm多分类器，包括多分类和GA算法和PSO算法优化的SVM(SVM multi-classifier, including multi-classification and GA algorithm and PSO algorithm optimized SVM)

图论，最小生成树，一种数学建模的实用方法，对你的比赛，和应用很有帮助(Graph theory, the minimum spanning tree，A good mathematical modeling tool, It is very helpful to your study MATLAB)

paper on A Novel Control Strategy for a Variable-Speed Wind Turbine With a Permanent-Magnet Synchronous Generator

用模糊预测混沌时间序列预测方法的matlab程序，很好用(Mackey-Glass Time Series Forecasting using Method 1 Single Stage Fuzzy Forecaster)

说明：  Jafarkhani的差分空时分组码matlab程序，在不同信噪比下，比较了系统SER和BER。采用2发1收，瑞利衰落信道(Jafarkhani differential STBC matlab procedure, at different signal to noise ratio, the system compares the SER and BER. The use of 2-fat one admission, Rayleigh fading channel)

Matlab关于三相全控桥式整流电路的仿真模拟(Matlab simulation on fully controlled three-phase bridge rectifier circuit)

MIT--航空航天工程中的计算方法_最优化方案 MIT公开课程--航空航天工程中的计算方法 这门课程适用于在航空和航天工程中出现的计算方法的入门学习。其应用是从航空宇宙结构，空气动力学，动力学和控制，和航空宇宙系统选出的。其技术包括：常微分方程系统的数值积分；偏微分方程式的有限差分,有限体积, 和有限元的离散化；数值线性代数；本征值问题和带有约束的最优化。 (MIT- Aerospace engineering calculations _ MIT open course program optimization- Aerospace engineering calculation methods for this course in aviation and aerospace engineering calculations appear in an introduction. The application is from aerospace structures, aerodynamics, dynamics and control, and aerospace systems selected. The technologies include: numerical integration of ordinary differential equations systems partial differential equations of finite difference, finite volume, and finite element discretization numerical linear algebra eigenvalue problems with constraints and optimization.)