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Signal Detection in MIMO Systems with Hardware Imperfections: Message by Dawei Gao, Qinghua Guo et al

We investigate signal detection in multiple-input-multiple-output (MIMO) communication systems with hardware impairments, such as power amplifier nonlinearity and in-phase/quadrature imbalance. To deal with the complex combined effects of hardware imperfections, neural network (NN) techniques, in particular deep neural networks (DNNs), have been studied to directly compensate for the impact of hardware impairments. However, it is difficult to train a DNN with limited pilot signals, hindering its practical application. In this work, we investigate how to achieve efficient Bayesian signal detection in MIMO systems with hardware imperfections. Characterizing combined hardware imperfections often leads to complicated signal models, making Bayesian signal detection challenging. To address this issue, we first train an NN to ‘model’ the MIMO system with hardware imperfections and then perform Bayesian inference based on the trained NN. Modelling the MIMO system with NN enables the design

Approximate message passing ampRtificial neural networksBayes methodsBayesian inferenceFactor graphsArdware imperfectionsIq imbalanceMessage passingImo communicationUltiple input multiple output mimoEural networks nnsOwer amplifier nonlinearitySignal detection

Avian responses to fire regimes in montane dry sclerophyll forests of by Michael John Macquarie Franklin

Wildfires are becoming larger and more frequent in forests under climate change, with corresponding increases in area burnt recently and at high-severity. Australian fire regimes are changing rapidly, but the implications for fauna are poorly understood. The first of two overarching aims of this research was to increase understanding of the mechanisms and processes that underpin avian responses to fire regimes in montane dry sclerophyll forests of south-eastern Australia. The second was to investigate the implications of altered fire regimes for birds through evaluation of their responses where fire activity is currently high.

Acoustic surveyAvian ecologyBayesian inferenceDry sclerophyll forest

A genome-based comparison of SARS-CoV-2 XBB recombinant and its parental lineage

In a recent study posted to the bioRxiv preprint server, researchers in Italy performed a genome-based comparison of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) XBB recombinant with its parental lineages.

Global initiative on sharing all influenza dataTechnical advisory groupGlobal initiativeSharing all influenza dataBayesian inferenceBayes factorDiscovery industry focusBayesian skyline modelSkyline plotCoronavirus disease covid 19Ars cov 2Evere acute respiratoryEvere acute respiratory syndrome

Rejecting undated mail ballots disproportionately impacts communities of color in Pa , data shows

Rejecting undated mail ballots disproportionately impacts communities of color in Pa , data shows
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United statesLehigh countyErie countyAllegheny countyJohn curielAseem shuklaMarian schneiderSupreme courtUs supreme courtOhio northern universityPennsylvania supreme courtUs third circuit courtElection dayRights actCircuit courtPennsylvania department

PA elections: Rejecting undated mail ballots affects minorities

An analysis of these lists released by Philadelphia, Allegheny, and Erie counties found that the 3,571 voters submitting flawed ballots were more likely to come from minority communities.

United statesLehigh countyErie countyAllegheny countyJohn curielCarter walkerAseem shuklaMarian schneiderSupreme courtUs supreme courtOhio northern universityPennsylvania supreme courtUs third circuit courtElection dayPennsylvania departmentRights act