activity
20072020
most citedOn Capacity Regions of Discrete Asynchronous Multiple Access Channels

5 citations · 12 across the 8 of their papers we have counts for

collaborators

8 papers

cs.IT2020★ 1 cited

Trellis Code Error Exponent From Results for Asynchronous Multiple Access Channels

Lóránt Farkas

An asynchronous multiple access error exponent result implicates a new result for time invariant trellis codes of memory 1.

cs.IT2019★ 3 cited

Error Exponents for Asynchronous Multiple Access Channels. Controlled Asynchronism may Outperform Synchronism

Lóránt Farkas, Tamás Kói

Exponential error bounds achievable by universal coding and decoding are derived for frame-asynchronous discrete memoryless %asynchronous multiple access channels with two senders,…

cs.IT2016

Universal Random Access Error Exponents for Codebooks of Different Word-Lengths

Lóránt Farkas, Tamás Kói

Csiszár's channel coding theorem for multiple codebooks is generalized allowing the codeword lenghts differ across codebooks. Also in this case, for each codebook an error exponent…

cs.DC2014

Building Block Components to Control a Data Rate in the Apache Hadoop Compute Platform

Tien Van Do, Binh T. Vu, Nam H. Do +3

Resource management is one of the most indispensable components of cluster-level infrastructure layers. Users of such systems should be able to specify their job requirements as a…

cs.IT2013★ 1 cited

Random Access and Source-Channel Coding Error Exponents for Multiple Access Channels

Lóránt Farkas, Tamás Kói

A new universal coding/decoding scheme for random access with collision detection is given in the case of two senders. The result is used to give an achievable joint source-channel…

cs.IT2012★ 5 cited

On Capacity Regions of Discrete Asynchronous Multiple Access Channels

Lóránt Farkas, Tamás Kói

A general formalization is given for asynchronous multiple access channels which admits different assumptions on delays. This general framework allows the analysis of so far unexpl…

cs.IT2008★ 1 cited

Blind decoding of Linear Gaussian channels with ISI, capacity, error exponent, universality

Lóránt Farkas

A new straightforward universal blind detection algorithm for linear Gaussian channel with ISI is given. A new error exponent is derived, which is better than Gallager's random cod…

quant-ph2007★ 1 cited

Reaching the Holevo Capacity via von Neumann measurement, and its use

L. Farkas

In this article we show that the Holevo capacity of a classical quantum channel, can be reached not only by a POVM but by von Neumann measurement too. Furthermore we show two use o…