2009/04/01 by Magalí Anastasio, Anastasio, Magalí, Carlos Cabrelli +1
Computer Science · Engineering · Mathematics · #94A08 #94A12 #94A20 #Classical Analysis and ODEs (math.CA) #FOS: Mathematics #Image and Signal Denoising Methods #Mathematical Analysis and Transform Methods #Sparse and Compressive Sensing Techniques
paper · pdf · doi:10.48550/arxiv.0904.0270
openalex publication_date 2009/04/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
A new paradigm in Sampling theory has been developed recently by Lu and Do. In this new approach the classical linear model is replaced by a non-linear, but structured model consisting of a union of subspaces. This is the natural approach for the new theory of compressed sampling, representation of sparse signals and signals with finite rate of innovation. In this article we extend the theory of Lu and Do, for the case that the subspaces in the union are shift-invariant spaces. We describe the subspaces by means of frame generators instead of orthonormal bases. We show that, the one to one and stability conditions for the sampling operator, are valid for this more general case.