Optimal-Decision-Boundaries

小波模极大值用于边缘提取，分析对象：woman图像。连线的工作没有做。(Wavelet Modulus Maxima for edge detection, analysis of the object: woman image. Connection does not do the work.)

消噪滤波的程序。。。。。。。。。。.....(De-noising filter procedures. . . . . . . . . ......)

KPCA经典程序，是KPCA的创始人写的，为学习KPCA提供了模板。(Classic KPCA procedures, is the founder of KPCA wrote, KPCA provides templates for learning.)

说明：  坐标转换：已知n个点在a,b两坐标系中的坐标值，采用优化方法求转换关系（标准的7参数转换关系，x,y,z的移动，x,y,z的旋转，以及缩放系数）ps:附带空间旋转公式。input: points in A and B。 output：transfer relationship （u,v,w: shit of x,y,z。 a,b,g: rotate of x,y,z 。k：zoom）(Coordinate Transfer:A,B are tow coordinates. This program using optimal method to find the transfer relationship of A and B. input: points in A and B。 output：transfer relationship （u,v,w: shit of x,y,z。 a,b,g: rotate of x,y,z 。k：zoom） )

求解曲线或者光谱等等的峰值，matlab完整程序。(Solving the curve or spectral peak Matlab complete program.)

说明：  无迹卡尔曼滤波在目标跟踪中的应用MATLAB仿真(Application of untracked Calman filter in target tracking)

MMSE Receiver for DS-SS in AWGN Channel，这是一个完整的系统仿真程序(MMSE Receiver for DS-SS in AWGN Channel, this is a complete system simulation program)

计算puma560手臂雅可比矩阵，对初学者很有帮助(Calculate puma560 arm Jacobian matrix)

实现地图匹配算法，对地图路径进行准确定位。(The realization of the map-matching algorithm, the exact path of the location map.)

The main features of the considered identification problem are that there is no an a priori separation of the variables into inputs and outputs and the approximation criterion, called misfit, does not depend on the model representation. The misfit is defined as the minimum of the l2-norm between the given time series and a time series that is consistent with the approximate model. The misfit is equal to zero if and only if the model is exact and the smaller the misfit is (by definition) the more accurate the model is. The considered model class consists of all linear time-invariant systems of bounded complexity and the complexity is specified by the number of inputs and the smallest number of lags in a difference equation representation. We present a Matlab function for approximate identification based on misfit minimization. Although the problem formulation is representation independent, we use input/state/output representations of the system in order (The main features of the considered identification problem are that there is no an a priori separation of the variables into inputs and outputs and the approximation criterion, called misfit, does not depend on the model representation. The misfit is defined as the minimum of the l2-norm between the given time series and a time series that is consistent with the approximate model. The misfit is equal to zero if and only if the model is exact and the smaller the misfit is (by definition) the more accurate the model is. The considered model class consists of all linear time-invariant systems of bounded complexity and the complexity is specified by the number of inputs and the smallest number of lags in a difference equation representation. We present a Matlab function for approximate identification based on misfit minimization. Although the problem formulation is representation independent, we use input/state/output representations of the system in order)