CGSVD Compact generalized SVD of a matrix pair in regularization problems. sm = cgsvd(A,L) [U,sm,X,V] = cgsvd(A,L) , sm = [sigma,mu] Computes the generalized SVD of the matrix pair (A,L): [ A ] = [ U 0 ]*[ diag(sigma) 0 ]*inv

利用移位寄存器的原理生成测量矩阵，用于图像的压缩感知。可以避免传递过大的测量矩阵。-a kind of CS using a apecial sensing Matrix

Compressive sensing (CS) has been proposed for signals with sparsity in a linear transform domain. We explore a signal dependent unknown linear transform, namely the impulse response matrix operating on a sparse excitation, as in the linear mod

Compressive sensing (CS) has been proposed for signals with sparsity in a linear transform domain. We explore a signal dependent unknown linear transform, namely the impulse response matrix operating on a sparse excitation, as in the linear model of