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一个基于H.264标准的4位图像预测压缩程序，使用MATLAB设计，对图像有着较好的预测处理效果(A standards-based H.264 compression 4 image projections, the use of MATLAB design, has a better prediction of the image processing effect)

说明：  CRC校验码的MATLAB实现 生成多项式【1 1 0 0 1 1】 结果正确 可以直接使用(CRCcheck.m)

多点特征向量的遗传埃尔曼神经网络工具箱，用于时间模式对空间模式的识别。(Eigenvectors of the genetic Elman neural network toolbox)

详细的压缩传感（Compressive sensing）代码，Matlab实现(Codes of Matlab for Compressive sensing)

说明：  一阶动态滑模控制，设计切换函数s，使切换函数与系统控制输入的一阶导数有关(S first order dynamic sliding mode control, design the switch function, make the switch function is associated with the first derivative of system control input)

基于matlab的XYZ坐标转换YBC坐标的代码(XYZ conversion YBC)

用Matlab实现Huffman编码，解决对文本的压缩解压(Huffman coding with Matlab realize and solve the text compression decompression)

计算用于双目视觉的基本矩阵，以此进行三维重构和坐标点测量(calculate F)

介绍的是对于钙信号传导的某种简化模型的模拟(Described the simulation of a simplified model for calcium signaling)

说明：  这本书描述了MATLAB遗传算法的特性和直接搜索工具箱,编程原理和使用方法。这本书分为九章。第一章到第四章介绍了遗传算法的基本知识,包括遗传算法的基本原理、编码、选择、交叉、变异、适应度函数、控制参数、约束处理,模式定理,改进遗传算法早熟收敛问题及其预防等等。第五章到第七章介绍MATLAB遗传算法工具箱英格兰谢菲尔德谢菲尔德大学,和使用方法,如何编写这个函数的一个示例使用遗传算法工具箱解决实际优化问题的MATLAB程序。(The book describes the characteristics of MATLAB genetic algorithm and direct search toolbox, programming principle and method of use. The book is divided into nine chapters. The first chapter to the fourth chapter introduces the basic knowledge of the genetic algorithm, including the basic principle of genetic algorithm, coding, selection, crossover, mutation, fitness function, control parameters, constraints, processing, schema theorem, improved genetic algorithm premature convergence problem and its prevention and so on. Fifth chapter to the seventh chapter introduces MATLAB genetic algorithm toolbox Sheffield in England at the university of Sheffield, and use a method, an example of how to write this function using MATLAB genetic algorithm toolbox to solve practical optimization problem.)