Software Requirements Specification (SRS): Elevator Controller for low-rise building elevator system Specification Version: Completed SRS 1.1 Prepared for Daniel M. Berry University of Waterloo CS846 (Fall 2005) Prepared by: Joel So (j2so

标准压缩感知（CS）理论决定了可靠的信号恢复是可能给M= O（KLOG（N / K））的测量。我们证明了它可以通过利用超越简单的稀疏性和可压缩性由包括价值观和信号系数的位置之间的依赖关系更加逼真信号模型大大降低Mwithout牺牲的鲁棒性。-The standard compressive sensing (CS) theory dictates that robust signal recovery is  possible from  M=O(Klog(N/K)) 

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

压缩感知重构算法的matlab源代码，包括多种重构算法的m文件-CS reconsitution code