3 accepted papers
Sequences with good correlation and distribution properties play a central role in various areas of signal processing. In this paper, we propose an efficient computational framework for designing sequences with two key properties: (i) an impulse-like auto-correlation, and (ii) a probability distribu…
In this paper, we study the problem of low-rank matrix recovery based on the information obtained by comparing matrix entries (where each comparison is represented by one-bit) and not the entries themselves. This is highly relevant in the context of recommendation systems, due to the fact that users…
Restoration of shredded signals remains a relevant and significant challenge in archaeological and forensic efforts. In this work, we present a novel approach for reconstruction of shredded signals (including text documents and images) within a context of general multidimensional sparse signals. To…