matlabchuxue

MATLAB数值积分与应用的一个简短介绍，主要对于初学者应用。(MATLAB numerical integration and application of a brief introduction, the main application for beginners.)

粒子群算法的寻优算法，非线性函数极值寻优，MATLAB的经典算法(Particle swarm optimization algorithm, nonlinear function optimization extreme, MATLAB classical algorithm)

该代码实现的功能为检测指纹图像中的奇异点，特点为速度快，实现简单。(The code implements the function of detecting singular points in fingerprint images, characterized with efficiency and ease to implement.)

说明：  把激光陀螺捷联惯导系统和GNSS接收机固联于实验车实验仓中，接收机天线固联在实验车实验仓上方，车载计算机实时接收和采集惯导系统、卫星导航接收机的原始数据，在郊外开阔公路进行车载实验。 通过matlab编程实现卫星导航伪距单点定位、INS/GPS松组合导航的全过程。 1）卫星导航单点定位测速：利用采集得到的接收机时间、伪距、多普勒频移数据，要求进行单点定位、测速解算，输出接收机的位置、速度随时间的变化曲线，并给出位置、速度误差曲线； 2）松组合导航：结合惯导解算和卫星接收机单点定位测速，要求采用Kalman滤波器实现惯导/卫星位置、速度组合导航解算，滤波器维数至少包括惯导的位置、速度、姿态角9维。将组合导航后的姿态角与纯惯导的姿态角进行对比分析，给出位置、速度误差曲线。(The laser gyro strapdown inertial navigation system and GNSS receiver are fixed in the experimental compartment of the experimental vehicle. The antenna of the receiver is fixed above the experimental compartment of the experimental vehicle. The on-board computer receives and collects the original data of the inertial navigation system and satellite navigation receiver in real time, and carries out on-board experiments on the suburban open highway.)

Aplicaç ã o MySQL estúdio musical

这是GP算法进行遗传规划，里面代码齐全，是matla代码(This is the GP algorithm for genetic programming, which is code complete, the code is matla)

针对基于可见光视频图像处理的水上弱小目标检测中存在的问题， 综述目前该领域的国内外研究进展， 从动态背景建模 前景目标检测和跟踪等方面分析各种方法 算法的优势和不足， 指出目前需要解决的问题， 并展望该领域的研究前景(In view of the problems existing in small and weak target detection on the sea surface based on visible light video image processing，the research advances at home and abroad in this field are summa- rized. The advantages and limitations existing in the methods and algorithms are analyzed from several aspects including dynamic background modeling，foreground target detection and tracking. Problems which need to be solved at present are pointed out，and promising research directions in this field are proposed.)

广义神经网络在预测中有广泛的应用，参数设置简单，值得学习。(Generalized neural network is widely used in the forecast, the parameter setting is simple, it is worth learning.)

基于非参数概率密度估计的盲源分离算法（NpICA），使用matlab编程，有可视界面。(Non-parametric probability density estimation-based blind source separation algorithm (NpICA), using the Matlab programming, visual interface.)

说明：  很好的学习资料~~skyline 很是适合初学者~打开直接运行(Good learning information ~ ~ skyline it is suitable for beginners ~ to open a direct operation)