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Fading evaluation in the mm-wave band
TRR Marins, AA Dos Anjos… - IEEE Transactions …, 2019 - ieeexplore.ieee.org
A thorough millimeter-wave measurement campaign is carried out in an indoor environment
with an aim at characterizing the short-term fading channel behavior. The measurements are …
with an aim at characterizing the short-term fading channel behavior. The measurements are …
Suitability of α-μ for Composite Fading Modeling
This work compares the statistical fitting performance of the fading models-, Nakagami-
Lognormal, Generalized-K, and Fisher–Snedecor, to field measurements conducted at 1.8 …
Lognormal, Generalized-K, and Fisher–Snedecor, to field measurements conducted at 1.8 …
Higher order statistics in a mmWave propagation environment
AA Dos Anjos, TRR Marins, CRN Da Silva… - IEEE …, 2019 - ieeexplore.ieee.org
A thorough measurement campaign in an indoor environment at the millimeter-wave band is
carried out with an aim at characterizing the short-term fading channel in terms of its higher …
carried out with an aim at characterizing the short-term fading channel in terms of its higher …
Joining sound event detection and localization through spatial segregation
Identification and localization of sounds are both integral parts of computational auditory
scene analysis. Although each can be solved separately, the goal of forming coherent …
scene analysis. Although each can be solved separately, the goal of forming coherent …
Bayesian model comparison with the g-prior
Model comparison and selection is an important problem in many model-based signal
processing applications. Often, very simple information criteria such as the Akaike …
processing applications. Often, very simple information criteria such as the Akaike …
On Bayesian exponentially embedded family for model order selection
In this paper, we derive a Bayesian model order selection rule by using the exponentially
embedded family (EEF) method, termed Bayesian EEF. It shows that the Bayesian EEF can …
embedded family (EEF) method, termed Bayesian EEF. It shows that the Bayesian EEF can …
High SNR consistent linear model order selection and subset selection
High SNR consistency of model order selection criteria in linear regression models has
attracted a lot of attention in the signal processing community recently. It is now known that …
attracted a lot of attention in the signal processing community recently. It is now known that …
Assessing Precinct Consolidation Strategies Through Simulation Optimization
The Supreme Court ruling on Shelby County v. Holder, 570 US 529 (2013) provided states
and local jurisdictions with increased discretion when operating elections. Since this …
and local jurisdictions with increased discretion when operating elections. Since this …
Parametric modeling for two-dimensional harmonic signals with missing harmonics
The problem of parametric modeling for the two-dimensional (2-D) harmonic signals with
missing harmonics is addressed. The modeling process consists of two parts. First, we …
missing harmonics is addressed. The modeling process consists of two parts. First, we …
To bind or not to bind: diagnosing false positives for 1: 1 binding to G-Protein
AE Baker, MN Hoogstra, NJ Pehrson… - Supramolecular …, 2025 - Taylor & Francis
Binding studies are ubiquitous in chemistry, but their extensive usefulness is undermined by
false positive and false negative results. Centering on the G-protein mini-Gs, we present a …
false positive and false negative results. Centering on the G-protein mini-Gs, we present a …