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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 Amp , Rtificial Neural Networks , Bayes Methods , Bayesian Inference , Factor Graphs , Ardware Imperfections , Iq Imbalance , Message Passing , Imo Communication , Ultiple Input Multiple Output Mimo , Eural Networks Nns , Ower Amplifier Nonlinearity , Signal 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 Survey , Avian Ecology , Bayesian Inference , Dry 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 Data , Technical Advisory Group , Global Initiative , Sharing All Influenza Data , Bayesian Inference , Bayes Factor , Discovery Industry Focus , Bayesian Skyline Model , Skyline Plot , Coronavirus Disease Covid 19 , Ars Cov 2 , Evere Acute Respiratory , Evere 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 States , Lehigh County , Erie County , Allegheny County , John Curiel , Aseem Shukla , Marian Schneider , Supreme Court , Us Supreme Court , Ohio Northern University , Pennsylvania Supreme Court , Us Third Circuit Court , Election Day , Rights Act , Circuit Court , Pennsylvania Department , Civil Rights Act , Bayesian Inference ,

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 States , Lehigh County , Erie County , Allegheny County , John Curiel , Carter Walker , Aseem Shukla , Marian Schneider , Supreme Court , Us Supreme Court , Ohio Northern University , Pennsylvania Supreme Court , Us Third Circuit Court , Election Day , Pennsylvania Department , Rights Act , Circuit Court , Civil Rights Act , Bayesian Inference ,