huxiangguan

信号平滑滤波代码,用于平滑滤波处理，由Matlab编成(Signal smoothing filter code for smoothing filter processing, compiled by the Matlab)

此例程可以帮助初学者快速入门，掌握MATLAB的基本知识，熟练MATLAB的基本原理。(This example can help beginners quick start, also grasp the basic knowledge of MATLAB,the basic principle of MATLAB .)

皮肤检测的最终目标是构建一个决策规则，并以此将图像中的像素划分为肤色和非肤色两类，一般通过引入一个衡量像素点颜色与“标准肤色”的距离而实现的，该距离是由相应肤色建模的方法决定的。人脸检测MATLAB源代码关于彩色图像光照补偿(The ultimate goal of skin detection is to build a decision-making rules, and use of the image pixels into skin and non-Fuse types, usually by introducing a measure of pixel color and the " standard color" achieved the distance, the distance The corresponding color from the decision modeling approach. MATLAB source code for face detection on color image light compensation)

讲述了合成孔径雷达的基本原理，针对点目标模型进行了理论分析(Tells the story of synthetic aperture radar s basic principle, for a target model are analyzed in theory )

以捷联惯性导航系统为主，添加里程计、卫星成为组合导航的半实物仿真程序(integrated navigation)

SIFT特征（Scale-invariant feature transform，尺度不变特征转换)是一种电脑视觉的算法用来侦测与描述影像中的局部性特征，它在空间尺度中寻找极值点，并提取出其位置、尺度、旋转不变量(SIFT features (Scale-invariant feature transform, scale-invariant feature transform) is a computer vision algorithm to detect and describe the image characteristics of the locality, it scales in space to find extreme points, and extract its location , scale, rotation invariant)

kalman滤波的经典例程，对于学习和指导使用kalman滤波非常有帮助，还附有Kalman最经典的论文A New approach to Linear filtering and prediction problems以及非线性系统确定采样型滤波算法综述2012控制与决策(kalman filtering classic routines, learning and guidance for using kalman filter is very helpful, but also with Kalman most classic treatise A New approach to Linear filtering and prediction problems and nonlinear systems reviewed to determine the sample type filter algorithm 2012 Control and Decision)

图论中节点分析法计算单定压节点恒定流水力计算matlab编程(Nodes in the graph theory analysis matlab programming)

统计与自适应信号处理，对智能天线的 学习有帮助(Statistical and adaptive signal processing, the study of smart antenna help)

说明：   模拟退火算法求函数 f(x)的最小值点， 且 l <= x <= u f为待求函数，x0为初值点，l，u分别为搜索区间的上下限，kmax为最大迭代次数 q为退火因子，TolFun为函数容许误差 算法第一步根据输入变量数，将某些量设为缺省值( Simulated annealing algorithm of a function f (x) the minimum point, and l &lt = x &lt = u f is the unknown function, x0 as the initial point, l, u, respectively, lower and upper limits for the search interval, kmax is the maximum q iterations for the annealing factor, TolFun as a function of allowable error algorithm is the first step according to the number of input variables, set default values for certain amount of)