Jul 10, 2017 · Abstract—We derive bounds on mutual information for arbitrary estimation problems in additive noise, modeled using. Gaussian mixtures.

Jun 27, 2017 · Abstract: We derive bounds on mutual information for arbitrary estimation problems in additive noise, modeled using Gaussian mixtures.

PDF | We derive bounds on mutual information for arbitrary estimation problems in additive noise, modeled using Gaussian mixtures. Previous work.

Previous work exploiting the I-minimum-mean-squared-error (MMSE) formula to formulate a bridge between bounds on the MMSE for Gaussian mixture model estimation ...

Previous work exploiting the I-minimum-mean-squared-error (MMSE) formula to formulate a bridge between bounds on the MMSE for Gaussian mixture model estimation ...

A method is derived to bound the mutual information between a noisy and noiseless measurement exploiting the I-MMSE estimation and information theory ...

Dive into the research topics of 'Bridging Mixture Model Estimation and Information Bounds Using I-MMSE'. Together they form a unique fingerprint. Sort by ...

Bridging mixture model estimation and information bounds using I-MMSE. B Paul ... Bounds on the information capacity of a broadcast channel with quantizing ...

Estimation information bounds using the I-MMSE formula and Gaussian mixture models ... Bridging Mixture Model Estimation and Information Bounds Using I-MMSE.

Block diagram depicting I-MMSE bridge for cross-domain bound results. The arbitrarily distributed source vector, x, is first modeled by a Gaussian mixture ...