Clustering-of-bayesian-

说明：  电力能源预测，一个很好的模拟程序，可以供参考(electrical energy projections, a very good simulation program, to be available for reference)

simple cfar algorithm for matlab

MATLAB模型：HMIPv6&MIPv6的延迟(MATLAB model: HMIPv6 & MIPv6 delay)

本程序实现2维TM波FDTD仿真 此程序用PML设置吸收边界条件 FDTD_2D_PML 仅含有Ez,Hx,Hy分量 (The procedure to achieve 2-D TM wave FDTD simulation of this process with the PML absorbing boundary condition FDTD_2D_PML set contains only Ez, Hx, Hy component)

defining a fucntion and using it in other files

evolutionary algorithm to optimize of fitness functions

说明：  遗传算法是计算数学中用于解决最佳化的搜索算法，是进化算法的一种。进化算法最初是借鉴了进化生物学中的一些现象而发展起来的，这些现象包括遗传、突变、自然选择以及杂交等。遗传算法通常实现方式为一种计算机模拟。对于一个最优化问题，一定数量的候选解（称为个体）的抽象表示（称为染色体）的种群向更好的解进化。传统上，解用二进制表示（即0和1的串），但也可以用其他表示方法。进化从完全随机个体的种群开始，之后一代一代发生。在每一代中，整个种群的适应度被评价，从当前种群中随机地选择多个个体（基于它们的适应度），通过自然选择和突变产生新的生命种群，该种群在算法的下一次迭代中成为当前种群。(Genetic algorithm (GA) is a search algorithm used to solve optimization in computational mathematics. It is one of evolutionary algorithms. Evolutionary algorithms were originally developed by borrowing phenomena in evolutionary biology, such as heredity, mutation, natural selection and hybridization. Genetic algorithms are usually implemented as a computer simulation. For an optimization problem, an abstract representation of a certain number of candidate solutions (called individuals) (called chromosomes) evolves towards a better solution. Traditionally, solutions are represented in binary (that is, strings of zeros and ones), but other representations are possible. Evolution begins with a population of completely random individuals, and it happens from generation to generation.)

主要包含Matlab7.0的课后习题解答和实例程序，为大家提供方便。(Consists mainly of Matlab7.0 answers and examples of after-school exercise program for you convenience.)

人脸表情识别中的2DPCA方法，非特定人识别。(Facial Expression Recognition in 2DPCA method, non-specific Recognition.)

双站SAR成像的例子，里面解决了非线性问题(an example of bisar,in order to deal with the nonlinear problem)