LPFquan

对数据集breast_cancer，用LR，NB算法对其进行操作(On the data set breast_cancer, with LR, NB algorithms manipulate)

说明：  详细讲解如何使用matlab绘图及GUI平台制作前台(Explain in detail how to use the matlab GUI platform for graphics and production prospects)

数字信号的处理，正弦函数与余弦函数的结合(digital signal prozessing sin cos function)

利用matlab来进行画门函数的频谱图和能量谱密度图(Use matlab to draw gate function spectrum and energy spectrum density map)

这是一个GMM模型的语音识别代码 非常详细 而且实用。(This is a GMM model for speech recognition is very detailed and useful code.)

matlab宝典，编程使用，可以有效提高程度得效率(matlab，improve the code )

说明：  粒子群算法（PSO）是一种基于群体的随机优化技术。与其它基于群体的进化算法相比，它们均初始化为一组随机解，通过迭代搜寻最优解。不同的是：进化计算遵循适者生存原则，而PSO模拟社会。将每个可能产生的解表述为群中的一个微粒，每个微粒都具有自己的位置向量和速度向量，以及一个由目标函数决定的适应度。所有微粒在搜索空间中以一定速度飞行，通过追随当前搜索到的最优值来寻找全局最优值。 PSO模拟社会采用了以下三条简单规则对粒子个体进行操作：①飞离最近的个体，以避免碰撞。②飞向目标。③飞向群体的中心。这是粒子群算法的基本概念之一。 粒子群算法其基本思想是受许多鸟类的群体行为进行建模与仿真研究结果的启发(Particle swarm optimization (PSO) is a population based stochastic optimization techniques. Based on evolutionary algorithms compared with other groups, they are initialized to a random solution, iterative search through optimal solution. The difference is: the principle of survival of the fittest evolutionary computation to follow, while PSO simulation community. The potential of each solution expressed as a group of particles, each particle has its own position vector and the velocity vector, and a fitness determined by the objective function. All particles in the search space at a constant speed flight, by following the current search to find the optimal values ​ ​ of the global optimum. PSO simulation community has adopted the following three simple rules for the operation of individual particles: ① recently departed individuals, in order to avoid collisions. ② to the target. ③ fly to center groups. This is one of the basic concepts of particle swarm algorithm. PSO algori)

this is a file pdf for photonic crystal fibers

an algoritm for identification of system

Code to process leaf disease detection