gatbx

MATLAB教程，很好的一本书，而且是WORD格式很好用(err)

matlab PBGBand 主要研究光子晶体能带结构(matlab PBGBand main photonic crystal band structure)

L4_1.m: SVD轉換(程式) L4_2.m: 影像轉換的能量集中能力(程式) L4_3a.m: 小波轉換之多重解析架構(程式) L4_3b.m: 小波轉換係數與影像的方向性(程式) energy.m: 能量集中(函式) L4_1.bmp: 影像檔 L4_2.bmp: 影像檔 L4_3b.bmp: 影像檔 woman.mat: Matlab的矩陣變數檔 (L4_1.m: SVD conversion (program) L4_2.m: image conversion of energy to focus capacity (program) L4_3a.m: the multi-resolution wavelet transform architecture (program) L4_3b.m: wavelet transform coefficient and the direction of the image (the program) energy.m: energy concentration (function) L4_1.bmp: image file L4_2.bmp: image file L4_3b.bmp: image file woman.mat: Matlab matrix variable file)

MACHINE SIMULINK WITH MATLAB

说明：  利用自然梯度算法，仿真盲信号分离过程，并给出学习收敛曲线(Use of natural gradient algorithm, simulation blind signal separation process, and gives the convergence curve of learning)

说明：  这里总结了一些光子晶体的重要概念，对学习光子晶体初学者有很大的帮助(Summarized some of the important concepts of photonic crystals, photonic crystals for learning very helpful for beginners)

用matlab分析由n个单胞组成的桁架在受到最外节点处的集中力是的位移及应力应变，并对整个结构进行优化设计。(Matlab analysis by single cell formed by the n truss subjected to the most outside the nodes in the concentration of power is the displacement, stress and strain, and the entire structure is optimized.)

功能描述：测试Levinson-Durbin算法 文件名：L_D_sim.m 测试用例： (1)x(n)+0.81*x(n-2)=u(n)，u(n)为高斯白噪声 (2)x(n)=u(n)+u(n-1)+u(n-2),u(n)为高斯白噪声 文件输出：两种测试用例情况下的功率谱 调用函数：function [A,E] = Levinson_Durbin_Algo(R,P) 被调用：无 作者：mingcheng 编写时间：2009-11-13 修改时间：2009-11-13 版本：V1.0 ( Function Description: Test Levinson-Durbin algorithm file name: L_D_sim.m test case: (1) x (n)+0.81* x (n-2) = u (n), u (n) is Gaussian white noise (2) x (n) = u (n)+ u (n-1)+ u (n-2), u (n) is Gaussian white noise file output: two tests use case in case of power spectrum call the function: function [A, E] = Levinson_Durbin_Algo (R, P) is called: No of: mingcheng write time :2009-11-13 modified :2009-11-13 version: V1.0 )

用matlab编写的关于层次分析法如何应用的代码(AHP)

利用粒子群优化算法求解100个城市的路径优化问题(Particle swarm optimization algorithm is used to solve the routing problem of 100 cities)