PSO_PID

辨识所使用的数据长度保持不变，每增加一个新数据就抛掉一个老数据，使参数估计值始终只依赖于有限个新数据所提供的新消息，克服了遗忘因子法不管多老的数据都在起作用的缺点，因此该算法更能有效的克服数据饱和现象。(Identify the use of data length remain the same, every time you add a new data will throw away an old data, make the parameter estimate always depends on just co., LTD., a new data provided by the new news, overcome the forgetting factor method no matter how old data are in action shortcomings, so the algorithm can effectively overcome the more data saturation phenomenon.)

根据推导的公式仿真中重LFM信号的回波及处理过程,单个脉冲的回波（距离模糊情况下）为一行向量, 本程序专门用于对比不同处理情况下的积累效果(Long accumulation of compensation)

时分复用仿真两路波形，先十分复用，再时分解复用(Time-division multiplexing simulation of two waveforms, first very complex, and then when the decomposition of complex)

alpha稳定分布概率密度函数产生，应用于水声环境中混响噪声信号概率密度的建模，以便于研究水下信号传输(alpha stable distribution probability density function generator, used in underwater acoustic environment reverberation noise signal probability density modeling, in order to study the underwater signal transmission)

欢迎大家下载学习，用MATLAB实现的压缩传感，Relief计算分类权重，包括最小二乘法、SVM、神经网络、1_k近邻法,研究生时的现代信号处理的作业，在MATLAB中求图像纹理特征。(Welcome to download the study, Using MATLAB compressed sensing, Relief computing classification weight, Including the least squares method, the SVM, neural networks, 1 _k neighbor method, Modern signal processing jobs when the graduate, In the MATLAB image texture feature.)

运用打靶法求解非线性常微分方程，简单实用(Shooting method used to solve ordinary differential equation, simple and practical)

用matlab编写的比较全面的关于非线性光纤中孤子演化的程序(Matlab prepared with a more comprehensive on the nonlinear optical soliton evolution in the process)

说明：  最优化学习的Matlab程序:包括最速下降法,黄金分割法,曲线拟合等.(Matlab optimization learning process: including the steepest descent method, golden section method, such as curve fitting.)

1-32是：图形应用篇 33-66是：界面设计篇 67-84是：图形处理篇 85-100是：数值分析篇 (1-32 is: graphic article 33-66 is: interface design article 67-84: graphics article 85-100: numerical analysis report )

说明：  遗传算法（Genetic Algorithm，GA）最早是由美国的 John holland于20世纪70年代提出,该算法是根据大自然中生物体进化规律而设计提出的。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。该算法通过数学的方式,利用计算机仿真运算,将问题的求解过程转换成类似生物进化中的染色体基因的交叉、变异等过程。在求解较为复杂的组合优化问题时,相对一些常规的优化算法,通常能够较快地获得较好的优化结果。遗传算法已被人们广泛地应用于组合优化、机器学习、信号处理、自适应控制和人工生命等领域。(Genetic algorithm (GA) was first proposed by John Holland of the United States in the 1970s. It is designed and proposed according to the evolution law of organisms in nature. It is a computational model of biological evolution process simulating natural selection and genetic mechanism of Darwin's biological evolution theory. It is a method to search the optimal solution by simulating natural evolution process. The algorithm transforms the solving process of the problem into a process similar to the crossover and mutation of chromosome genes in biological evolution by means of mathematical method and computer simulation. When solving complex combinatorial optimization problems, compared with some conventional optimization algorithms, it usually can get better optimization results quickly. Genetic algorithm has been widely used in combinatorial optimization, machine learning, signal processing, adaptive control and artificial life.)