Entropy power inequality for the Rényi entropy Page 1 1 Entropy power inequality for the Rényi
entropy Sergey G. Bobkov and Gennadiy P. Chistyakov Abstract—The classical entropy power …

This paper gives improved Rényi entropy power inequalities (R-EPIs). Consider a sum S n=
Σ k= 1 n X k of n independent continuous random vectors taking values on ℝ d, and let …

The multivariate survival function of a random vector X is used to define a broad class of
entropy measures. Several properties of the proposed class are studied and explicit …

Blind deconvolution of linear channels is a fundamental signal processing problem that has
immediate extensions to multiple-channel applications. In this paper, we investigate the …

The Information Bottleneck principle offers both a mechanism to explain how deep neural
networks train and generalize, as well as a regularized objective with which to train models …

In this paper, we address the problem of the blind extraction of a subset of “interesting”
independent signals from a linear mixture. We present a novel criterion for the extraction of …

The problem of blind source separation (BSS) of convolved acoustic signals is of great
interest for many classes of applications. Due to the convolutive mixing process, the source …

Recently, some researchers have suggested Renyi's entropy in its general form as a blind
source separation (BSS) objective function. This was motivated by two arguments:(1) …

This paper deals with the problem of Blind Source Separation. Contrary to the vast majority
of works, we do not assume the statistical independence between the sources and explicitly …

Abstract The Information Bottleneck principle offers both a mechanism to explain how deep
neural networks train and generalize, as well as a regularized objective with which to train …