SVM算法工具箱

坐标转换（四参数） [row col]=size(source) for i=1:row u(i)=source(i,2) v(i)=source(i,3) x(i)=source(i,4) y(i)=source(i,5) B(2*i-1,1)=1 B(2*i-1,2)=0 B(2*i-1,3)=u(i) B(2*i-1,4)=-v(i) B(2*i,1)=0 B(2*i,2)=1 B(2*i,3)=v(i) B(2*i,4)=u(i) L(2*i-1,1)=x(i) L(2*i,1)=y(i) end X=inv(B *B)*(B *L) Txy=[X(1) X(2)] xzjz(1,1)=X(3) xzjz(1,2)=-X(4) xzjz(2,1)=X(4) xzjz(2,2)=X(3) [row1 col1]=size(target) for i=1:row1 u1(i)=target(i,2) v1(i)=target(i,3) d=[u1(i) v1(i)] md=Txy+xzjz*d end end (Coordinate conversion： [row col]=size(source) for i=1:row u(i)=source(i,2) v(i)=source(i,3) x(i)=source(i,4) y(i)=source(i,5) B(2*i-1,1)=1 B(2*i-1,2)=0 B(2*i-1,3)=u(i) B(2*i-1,4)=-v(i) B(2*i,1)=0 B(2*i,2)=1 B(2*i,3)=v(i) B(2*i,4)=u(i) L(2*i-1,1)=x(i) L(2*i,1)=y(i) end X=inv(B *B)*(B *L) Txy=[X(1) X(2)] xzjz(1,1)=X(3) xzjz(1,2)=-X(4) xzjz(2,1)=X(4) xzjz(2,2)=X(3) [row1 col1]=size(target) for i=1:row1 u1(i)=target(i,2) v1(i)=target(i,3) d=[u1(i) v1(i)] md=Txy+xzjz*d end end )

bch编码译码程序、很好的东西只得收藏。。。。。。。。(BCH coding decoding process........)

Input data set for data classication MATLAB NN

its the matlab coding for pattern recoganization in image processing using genetic algorithm

实现数据的预测 通过建立模型 训练模型 从而生成arma模型 达到预测(make prediction)

color segmentation matlab code source

对场景分类和语义特征稀疏化的高层图像表示(Object Bank: A High-Level Image Representation for Scene Classification & Semantic Feature Sparsification)

波束域 MUSIC 算法跟经典MUSIC 算法相比，具有更小的分辨信噪比门限(Beamspace MUSIC algorithm compared to the classic MUSIC algorithm, with smaller resolution and signal to noise ratio limit)

模拟在住不同条件下长周期光纤光栅的传输谱，给出了各个不同条件下传输谱的变化(Simulation under different conditions in living long period fiber grating transmission spectrum, gives the transmission spectrum under different conditions, changes in)

说明：  实现二维路径规划,包含遗传算法,rrt算法，a星(Realize two-dimensional path planning)