We consider the problem of recovering a k-sparse signal (x) from hybrid (complex and real), noiseless compressive samples (y) using a mixture of complex-valued sparse and realvalued dense projections within a single matrix. The proposed Hybrid Compressed Sensing (HCS) employs the complex-sparse part of the projection matrix to divide the n-dimensional signal (x) into subsets. In turn, each subs...

We formally introduce the concept of localizing the Elliott conjecture at a given strongly self-absorbing C∗-algebra D; we also explain how the known classification theorems for nuclear C∗-algebras fit into this concept. As a new result in this direction, we employ recent results of Lin to show that (under a mild K-theoretic condition) the class of separable, unital, simple C∗-algebras with loc...