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Discrete|input two|dimensional Gaussian channels with memory ...


Discrete-Input Two-Dimensional Gaussian Channels With Memory ...

Discrete-Input Two-Dimensional Gaussian Channels With Memory: Estimation and Information Rates Via Graphical Models and Statistical Mechanics. Abstract: ...

Discrete-Input Two-Dimensional Gaussian Channels With Memory

Our approach is also described from the perspective of statistical mechanics, as the graphical model and inference algorithm have their analogues in physics.

Discrete-input two-dimensional Gaussian channels with memory

Abstract. Discrete-input two-dimensional (2-D) Gaussian channels with memory represent an important class of systems, which appears extensively in ...

[PDF] Discrete-Input Two-Dimensional Gaussian Channels With ...

Discrete-Input Two-Dimensional Gaussian Channels With Memory: Estimation and Information Rates Via Graphical Models and Statistical Mechanics · 55 Citations · 63 ...

Discrete-Input Two-Dimensional Gaussian Channels With Memory

PDF | Discrete-input two-dimensional (2D) Gaussian channels with memory represent an important class of systems, which appears extensively in.

Discrete-Input Two-Dimensional Gaussian Channels with Memory

Discrete-Input Two-Dimensional Gaussian. Channels with Memory: Estimation and. Information Rates via Graphical Models and. Statistical Mechanics. Ori Shental ...

Discrete-input two-dimensional Gaussian channels with memory ...

Discrete-input two-dimensional Gaussian channels with memory: Estimation and information rates via graphical models and statistical mechanics. Ori Shental ...

Discrete-input two-dimensional Gaussian channels with memory ...

Discrete-input two-dimensional Gaussian channels with memory: Estimation and information rates via graphical models and statistical mechanics · Tel Aviv ...

Discrete-input two-dimensional Gaussian channels with memory ...

Discrete-input two-dimensional Gaussian channels with memory: Estimation and information rates via graphical models and statistical mechanics · Overview ...

On the Capacity of Gaussian MIMO Channels with Memory - arXiv

An explicit closed-form expression for the optimal input power spectral density matrix is also given. The obtained result is further extended to ...

Capacity of the Gaussian Channel With Memory: The Multivariate ...

A formula is derived for the capacity of a multi-input, multi-output linear channel with memory, and with additive Gaussian noise.

Gaussian channel, Parallel channels and Rate-distortion theory

Remark: The rigorous proof, which we will not give here, differs from the discrete case we saw last time in two main points (for details refer to Thomas-Cover ...

Discrete Inputs in Gaussian Interference Networks - UIC Indigo

Therefore, this work develops a theoretical framework and tools for establishing the performance of non-Gaussian/discrete input codes in Gaussian multi-user ...

The Two-Tap Input-Erasure Gaussian Channel and Its Application to ...

Moreover, even if the erasures have memory, the latter result holds [3] [4]. However, adding memory to the discrete channel changes the picture considerably ...

Lecture 18: March 26 18.1 Review of Gaussian Channel 18.2 ...

In above examples, our input channels have independent noise with same variance. If our noise is still independent on each channel, but with different variance, ...

(PDF) Feedback capacity of Gaussian channels with memory

We consider the feedback capacity of a MIMO channel whose channel output is given by a linear state-space model driven by the channel inputs and ...

Gaussian Input - an overview | ScienceDirect Topics

We use the system identification problem in Section 2.3.1 to simulate the set-membership partial-update NLMS algorithm. The input signal x ( k ) ...

Achieving The Stationary Feedback Capacity For Gaussian Channels

Markov property of the optimal input distribution for Gaussian channels with memory and ... the encoder dimension needs not be higher than the channel dimension ...

Gaussian capacity of the quantum bosonic memory channel with ...

The algorithm, restricted to Gaussian input states, is applicable to all channels with noise correlations obeying certain conditions and ...

arXiv:1003.2393v2 [quant-ph] 17 May 2010

We address the question of optimality of entangled input states in quantum Gaussian memory channels. ... n) if the two Gaussian quantum ...