CFD

example of matlab,optimization method which is used with different model.it will be useful for whom they want to learn Matlab by themselves8

数字信号处理及其MATLAB实现，详细介绍了数字信号处理的原理和过程，并给出详细的MATLAB实现程序。(Digital signal processing and MATLAB realization of digital signal processing described in detail the principles and processes, and gives a detailed implementation program MATLAB.)

sinX函数，一个输入对应一个输出，最后在matlab上显示sin函数图形(SinX function, an input corresponding to an output, the sine function is displayed in the matlab graphics )

DC dynamic braking is obtained when the stator of an induction motor running at a speed is connected to a dc supply.dc current flowing through the stator produces a stationary magnetic field.Motion of rotor in this field induces voltage in the rotor winding.Machine therefore works as a generator.Generated energy is dissipated in the rotor circuit resistance,thus giving dynamic braking.

说明：  遗传算法（Genetic Algorithm）是模拟达尔文生物进化论的自然选择和遗传学机理的生物进化过程的计算模型，是一种通过模拟自然进化过程搜索最优解的方法，它最初由美国Michigan大学J.Holland教授于1975年首先提出来的，并出版了颇有影响的专著《Adaptation in Natural and Artificial Systems》，GA这个名称才逐渐为人所知，J.Holland教授所提出的GA通常为简单遗传算法（SGA）。(GA (Genetic Algorithm) is a simulation of Darwinian theory of evolution by natural selection and genetic mechanism of biological evolution of the computing model is a natural evolutionary process by simulating the optimal solution search method, which originally developed by the University of Michigan J.Holland Professor in 1975 first proposed and published an influential monograph "Adaptation in Natural and Artificial Systems", GA this name was gradually known, J.Holland raised by Professor GA is usually simple genetic algorithm (SGA ).)

对eeg的五个波段进行提取, 脑电信号数据原始采集的脑电，输出5个不同波段幅值，(extract 5 wave bands of eeg signals)

最大信噪比的独立分量分析算法，包含CV、CA、Single、当前、恒转弯速率、转弯模型，可以实现模式识别领域的数据的分类及回归。( SNR largest independent component analysis algorithm, It contains CV, CA, Single, current, constant turn rate, turning model, You can achieve data classification and regression pattern recognition.)

基于标量量化的图像多描述编码（MDSQ）是提高信息传输质量的一种有效方法,本程序利用Matlab 工具在处理矩阵上的灵活性,实现了MDSQ 算法, 并通过解码后的图像证明该方法良好的多描述性能。(Scalar quantization-based image multiple description coding (MDSQ) is to improve the quality of information transmission of an effective method, the procedures for the use of Matlab tool flexibility matrix treatment, realized MDSQ algorithm, and through decoded images show that the method good performance of multiple description.)

说明：  sift提取特征点、描述子、最后进行匹配。(sift ：feature point，descriptor， matching。)

使用Matlab实现，包括一维特征最小错误率bayes分类器；二维特征最小错误率bayes分类器；二维特征最小风险bayes分类器以及使用的数据集合。(Using the Matlab implementation, including the minimum error rate of one-dimensional characteristics of bayes classifier two-dimensional characteristics of the minimum error rate bayes classifier two-dimensional characteristics of the minimum risk bayes classifier and the use of data collection.)