Mihai-Alin Badiu | DeepAI

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∙ 09/18/2023

On Random Tree Structures, Their Entropy, and Compression

Measuring the complexity of tree structures can be beneficial in areas t...

0 Amirmohammad Farzaneh, et al. ∙

∙ 11/17/2022

LEAST: a Low-Energy Adaptive Scalable Tree-based routing protocol for Wireless Sensor Networks

Routing is one of the critical and ongoing challenges in Wireless Sensor...

0 Amirmohammad Farzaneh, et al. ∙

∙ 07/12/2022

TreeExplorer: a coding algorithm for rooted trees with application to wireless and ad hoc routing

Routing tables in ad hoc and wireless routing protocols can be represent...

0 Amirmohammad Farzaneh, et al. ∙

∙ 12/21/2021

Performance Analysis of IOS-Assisted NOMA System with Channel Correlation and Phase Errors

In this paper, we investigate the performance of an intelligent omni-sur...

0 Tianxiong Wang, et al. ∙

∙ 07/28/2021

Structural Complexity of One-Dimensional Random Geometric Graphs

We study the richness of the ensemble of graphical structures (i.e., unl...

0 Mihai-Alin Badiu, et al. ∙

∙ 05/14/2021

BernoulliZip: a Compression Algorithm for Bernoulli Processes and Erdos-Renyi Graphs

A novel compression scheme for compressing the outcome of n independent ...

0 Amirmohammad Farzaneh, et al. ∙

∙ 02/17/2021

A Framework for Characterising the Value of Information in Hidden Markov Models

In this paper, a general framework is formalised to characterise the val...

0 Zijing Wang, et al. ∙

∙ 08/20/2020

A Value of Information Framework for Latent Variable Models

In this paper, a general value of information (VoI) framework is formali...

0 Zijing Wang, et al. ∙

∙ 12/20/2019

Statistical Properties of Transmissions Subject to Rayleigh Fading and Ornstein-Uhlenbeck Mobility

In this paper, we derive closed-form expressions for significant statist...

0 Arta Cika, et al. ∙

∙ 07/22/2019

Expectation Propagation Line Spectral Estimation

Line spectral estimation (LSE) is a fundamental problem in signal proces...

0 Jiang Zhu, et al. ∙

∙ 06/25/2019

Communication Through a Large Reflecting Surface With Phase Errors

Assume the communication between a source and a destination is supported...

0 Mihai-Alin Badiu, et al. ∙

∙ 01/07/2019

Binary-Tree Encoding for Uniform Binary Sources in Index Modulation Systems

The problem of designing bit-to-pattern mappings and power allocation sc...

0 Justin P. Coon, et al. ∙

∙ 11/08/2018

Quantifying Link Stability in Ad Hoc Wireless Networks Subject to Ornstein-Uhlenbeck Mobility

The performance of mobile ad hoc networks in general and that of the rou...

0 Arta Cika, et al. ∙

∙ 11/07/2018

Entropy Rate of Time-Varying Wireless Networks

In this paper, we present a detailed framework to analyze the evolution ...

0 Arta Cika, et al. ∙

∙ 08/10/2018

Self-Organization Scheme for Balanced Routing in Large-Scale Multi-Hop Networks

We propose a self-organization scheme for cost-effective and load-balanc...

0 Mihai-Alin Badiu, et al. ∙

∙ 03/17/2018

Variational Bayesian Inference of Line Spectral Estimation with Multiple Measurement Vectors

In this paper, the line spectral estimation (LSE) problem with multiple ...

0 Qi Zhang, et al. ∙

∙ 01/15/2018

On the Distribution of Random Geometric Graphs

Random geometric graphs (RGGs) are commonly used to model networked syst...

0 Mihai-Alin Badiu, et al. ∙

∙ 04/13/2016

Variational Bayesian Inference of Line Spectra

In this paper, we address the fundamental problem of line spectral estim...

0 Mihai-Alin Badiu, et al. ∙

∙ 04/17/2012

Distributed Iterative Processing for Interference Channels with Receiver Cooperation

We propose a framework for the derivation and evaluation of distributed ...

0 Mihai-Alin Badiu, et al. ∙

∙ 02/07/2012

Message-Passing Algorithms for Channel Estimation and Decoding Using Approximate Inference

We design iterative receiver schemes for a generic wireless communicatio...

0 Mihai-Alin Badiu, et al. ∙

∙ 12/02/2011

Merging Belief Propagation and the Mean Field Approximation: A Free Energy Approach

We present a joint message passing approach that combines belief propaga...

0 Erwin Riegler, et al. ∙

∙ 08/22/2011

Sparse Estimation using Bayesian Hierarchical Prior Modeling for Real and Complex Linear Models

In sparse Bayesian learning (SBL), Gaussian scale mixtures (GSMs) have b...

0 Niels Lovmand Pedersen, et al. ∙

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