5 citations · 11 across the 6 of their papers we have counts for
6 papers
Non-Adaptive Distributed Compression in Networks
Mahdy Nabaee, Fabrice Labeau
In this paper, we discuss non-adaptive distributed compression of inter-node correlated real-valued messages. To do so, we discuss the performance of conventional packet forwarding…
Wyner-Ziv Coding in the Real Field Based on BCH-DFT Codes
Mojtaba Vaezi, Fabrice Labeau
We show how real-number codes can be used to compress correlated sources and establish a new framework for distributed lossy source coding, in which we quantize compressed sources…
Quantized Network Coding for Correlated Sources
Mahdy Nabaee, Fabrice Labeau
Non-adaptive joint source network coding of correlated sources is discussed in this paper. By studying the information flow in the network, we propose quantized network coding as a…
Improved Modeling of the Correlation Between Continuous-Valued Sources in LDPC-Based DSC
Mojtaba Vaezi, Fabrice Labeau
Accurate modeling of the correlation between the sources plays a crucial role in the efficiency of distributed source coding (DSC) systems. This correlation is commonly modeled in…
One-Step Quantized Network Coding for Near Sparse Gaussian Messages
Mahdy nabaee, Fabrice Labeau
In this paper, mathematical bases for non-adaptive joint source network coding of correlated messages in a Bayesian scenario are studied. Specifically, we introduce one-step Quanti…
Bayesian Quantized Network Coding via Belief Propagation
Mahdy Nabaee, Fabrice Labeau
In this paper, we propose an alternative for routing based packet forwarding, which uses network coding to increase transmission efficiency, in terms of both compression and error…