opencart-v1.5.6.x-chinese-manual

test file for matlab kalman filter

说明：  LDA的matlab程序，简单易用，速度快。比其他LDA方法好(Matlab source code for LDA. Fast, and easy to use. Better than other LDA source codes)

说明：  一是讲述MATLAB正常运行所必须具备的基础条件；二是简明系统地介绍高度集成的Desktop操作桌面的功能和使用方法。(One is about the normal operation of the MATLAB must have the basic conditions Second concise introduction to a highly integrated system Desktop operating desktop features and applications.)

it gives some importance abt fast ica using negentropy

本程序特别适合于弹道计算等方面使用。比ODE45函数的速度加快了很多，且程序充分展示了Matlab向量运算的强大功能，以及编程的简单快捷。(The program is especially suitable for ballistic calculation such as the use of. Than the ODE45 function more quickly, and it shows the powerful function of Matlab vector operations, and programming is simple and quick.)

自适应区域生长算法MATLAB实现。可以较好完成单种子点的区域生长工作(Adaptive region growing algorithm MATLAB. Can better complete a single seed point region growing work)

MPSK的simulink仿真，纯手工制作(MPSK the simulate simulation，by oneself)

Statistical Signal Processing

matlab的模式识别toolbox，将它解压缩，拷贝到matlab目录下的toolbox下，声明：请不要将这个工具箱应用到商业用途上，仅作学术参考。(pattern recognition tool box. Please unzip, copy it under the directory of matlab toolbox. Announcement: Don t apply it to commercial usage, just for research reference.)

说明：  用基本遗传算法求解一维无约束优化问题 用顺序选择遗传算法求解一维无约束优化问题 用动态线性标定适应值的遗传算法求解一维无约束优化问题 用大变异遗传算法求解一维无约束优化问题 用自适应遗传算法求解一维无约束优化问题 用双切点遗传优化求解一维无约束优化问题 用多变异位自适应遗传优化求解一维无约束优化问题 (The basic genetic algorithm with one-dimensional sequence of unconstrained optimization problems using genetic algorithm selected one-dimensional non-linear constrained optimization problem of dynamic calibration of genetic algorithm to adapt to the value of one-dimensional unconstrained optimization genetic algorithm with a large variation of one-dimensional unconstrained adaptive genetic algorithm for optimization problem solving unconstrained optimization problems one-dimensional cut by two-dimensional point of GA for solving a problem of unconstrained optimization adaptive genetic optimization with variable ectopic solving one-dimensional unconstrained optimization problem)