ICA_isolate_single

帮助新手规范C程序书写格式 帮助老手纠正错误的书写习惯 使程序效率更高(C program written to help novice standard format to help veterans to correct the wrong writing habits to make programs more efficient)

说明：  介绍SIMULINK的电子文档，很实用，内容很详细，对于利用SIMULINK搭建模型仿真的同学很实用(Introduction SIMULINK electronic documents, it is practical, the content is very detailed model for simulation using SIMULINK to build the students very practical)

In this i attached matlab code for indoor localization using WIFI and FM signal features classified by KNN classifier to predict the fingure print of the building structure.

Changing Color Planes

用PIC24F128GA006 制作驱动HT1261显示功能 C语言(Production driver HT1261 with PIC24F128GA006 display C-)

一种适合入门者的EMD程序，能画出频谱图和IMF的时频图(an easy EMD program )

image compression with threshoulding

包括了基本的卡尔曼滤波和自适应滤波，实现语音去噪(Including the basic Calman filter and adaptive filter, speech denoising)

A small Fourier transform tutorial

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)