level_fuzzy

求解线性规划问题，简单的求解以及多远线性规划的求解，(To solve the linear programming problem solving and simple, how far solution of linear planning )

模拟光在二维介质中传输，用FDTD方法，Matlab程序编写．(in a two-dimensional simulation of optical transmission medium, using the FDTD method, Matlab programming.)

说明：  采用S函数设计神经网络PID控制器，该算法控制器应用于Simulink控制中，对初学者或其他算法的常规比较有较好的效果。(The neural network PID controller is designed in S-function, and the algorithm controller is used in Simulink control, which has a better effect for beginners or other algorithm routine comparison.)

说明：  刚刚接触图像检索的同学，对基于特征的图像检索还没有什么概念，利用这个小的程序（里面附有图像和实例）感受一下过程，对于继续研究很有帮助。(Contact with students just image retrieval, the feature-based image retrieval has no concept of, take advantage of this little program (inside with images and examples) feel the process and continue to study for the useful.)

程序展示了使用EM algorithm来训练GMM(Gaussian Mixture Model)来进行binary classification。(Program demonstrates the use of EM algorithm to train the GMM (Gaussian Mixture Model) for binary classification.)

这是我学习《MATLAB程序设计与应用》刘卫国、陈昭平　 一书时第一章和第二章的课后习题 目录 exponential_e.m exsub.m fheritage.m initialise.m matrix.m matrix2.m matrixm.m matrix_c.m matrix_mul.m mult.m mywork1201.dll mywork1201.m normcdf_.m p41_4.m p41_5.asv p41_5.m p41_6.m p41_7.m p41_8.m p64_1.m p64_2.m p64_3.m p64_4.m p64_5.m p65_10_1.m p65_10_2.m p65_10_3.m p65_6.m p65_8.m(This is my learning "MATLAB design and application procedures," Liu Weiguo, Chenzhaobeng a first book chapters I and II of the after-school catalog exponential_e.m exsu Exercises b.m fheritage.m initialise.m matrix.m matrix 2.m matrixm.m matrix_c.m matrix_mul.m mult.m mywork1201.dll mywork1201.m normcdf_.m p41_ 4.m p41_5.asv p41_5.m p41_6.m p41_7.m p41_8.m p64_1.m p64_2.m p64_3.m p64_4.m p64_5.m p65_1 0_1.m p65_10_2.m p65_10_3.m p65_6.m p65_8.m)

OFDM的64QAM调制，包含fft 星座映射 还有解调(OFDM-64QAM modulation, demodulation still contain fft constellation mapping)

通过对匹配滤波器的了解，使用matlab编程实现匹配滤波器滤波(By understanding the matched filter, matched filter using matlab programming filtering)

Lambert制导问题的优化算法，通过改变初值的计算方法减少了一半以上的运算量。(Optimization of Lambert Guidance problem )

说明：  机器人路径规划，利用MATLAB编写代码仿真实现(Robot path planning, using matlab code simulation)