SVD的应用，奇异值超平面正交投影证明 A中每个向量xi在随机阵B上的正交投影之和的最小值-Application of SVD, singular value hyperplane orthogonal projection proves A vector xi for each B in a random array of the orthogonal projection and the minimum

应用正交匹配追踪求解等式y=Ax,要求： 待求x是稀疏向量，A为高斯随机矩阵 调用形式：x = myomp(A,y,err) A -线性投影矩阵； y -投影向量 err -所需精度-apply Orthogonal matching pursuit to solve the equation y = Ax, requirements: the unknown x is sparse vector, A is a Gaussian random. ca

文件中是OLPP(正交保持投影)的MATLAB代码.-File is OLPP (orthogonal projection holding) MATLAB code.

此文件是对KOLPP（核正交保持投影）的MATLAB实现-This file is KOLP (holding nuclear orthogonal projection) MATLAB implementation