149 citations · 258 across the 21 of their papers we have counts for
4 papers · 1 filter
Almost lossless analog signal separation and probabilistic uncertainty relations
David Stotz, Erwin Riegler, Eirikur Agustsson +1
We propose an information-theoretic framework for analog signal separation. Specifically, we consider the problem of recovering two analog signals, modeled as general random vector…
Entropy and Source Coding for Integer-Dimensional Singular Random Variables
Günther Koliander, Georg Pichler, Erwin Riegler +1
Entropy and differential entropy are important quantities in information theory. A tractable extension to singular random variables-which are neither discrete nor continuous-has no…
Almost Lossless Analog Compression without Phase Information
Erwin Riegler, Georg Tauböck
We propose an information-theoretic framework for phase retrieval. Specifically, we consider the problem of recovering an unknown n-dimensional vector x up to an overall sign facto…
Information-Theoretic Limits of Matrix Completion
Erwin Riegler, David Stotz, Helmut Bölcskei
We propose an information-theoretic framework for matrix completion. The theory goes beyond the low-rank structure and applies to general matrices of "low description complexity".…