EL Centro

粒子滤波的Matlab例程，可实现基本的例子滤波算法(Matlab routines particle filter can be realized example of the basic filtering algorithm)

前人提出的众多发酵动力学模型的基础上，结合工业乙醇连续发酵的实际情况，首先对经典的流加半经验半理论模型进行动态和稳态仿真，之后为了与实际生产过程联系更加紧密，逐步将温度，气体排放等因素考虑到模型中去，进行综合性仿真。最后再结合GUI技术，以动力学模型为核心，以人机界面友好为目标，制作乙醇连续发酵仿真软件，将脚本语言编程技术和模块化仿真技术结合起来，建立起工业乙醇发酵的仿真平台。(Made numerous predecessors fermentation kinetics model based on the combination of industrial ethanol continuous fermentation of the actual situation, the first of the classic semi-fed semi-empirical model for dynamic and steady-state simulation, after which the actual production process for closer ties, gradual temperature, gas emissions and other factors into the model to carry out a comprehensive simulation. Finally, combining GUI technology to kinetic model as the core, friendly interface for the target, producing continuous ethanol fermentation simulation software, the script language programming techniques and modular simulation technology combine to build industrial ethanol fermentation simulation platform.)

提取目标位置参考点和目标匹配模板；使用基于区域特征的运动目标跟踪算法获取目标位置（像素) (Extraction of target location and target reference points match template use region-based feature tracking algorithm for moving object target location (pixels))

以 Hilbert 轉換及內含模組函數(Intrinsic Mode Function)解析能譜分佈在時間歷程之變化附錄EMD解析程式(Hilbert transform and embedded modules to function (Intrinsic Mode Function) analysis of the energy spectrum of variation in the time course of EMD resolver Appendix)

说明：  MATLAB7的关于遗传算法的所有源程序祥解(MATLAB7.1 genetic algorithm on all the source code Explained)

说明：  一个用于生产汉明窗的，小程序，希望对新手有帮助(A Hamming window for the production of small programs, want to help novice)

Simplified arithamatic computation with logical operations

Matlab的经典入门级教材。很适合初学者入门学习使用(Matlab' s classic entry-level teaching. Very suitable for beginners learning to use Getting Started)

matlAB中的simulink工具，具有可视化的特点，仿真易操作，简单可行(MATLAB大全- 宜配网的SIMULINK工具，具有可视化的特点，仿真易操作，简单可行)

利用Hopfield神经网络模型，可以快速找到最优的一条路线。(Hopfield neural network model, can be used to quickly find the optimal route.)