Results 281 to 290 of about 9,828,805 (358)
The Dyson equalizer: adaptive noise stabilization for low-rank signal detection and recovery. [PDF]
Inf inferenceLanda B, Kluger Y.
europepmc +1 more source
R-wave detection algorithms using adult and fetal ECG signals
, 2013 Iris Sigurdardottir
openalex +1 more source
Some of the next articles are maybe not open access.
Related searches:
Related searches:
Encyclopedia of Wireless Networks, 2018
In Chapter 13 we considered hypothesis testing in the context of random variables. The detector resulting in the minimum probability of error corresponds to the MAP test as developed in section 13.2.1 or equivalently the likelihood ratio test in section ...
James B. Elsner, A. Tsonis
openaire +2 more sources
In Chapter 13 we considered hypothesis testing in the context of random variables. The detector resulting in the minimum probability of error corresponds to the MAP test as developed in section 13.2.1 or equivalently the likelihood ratio test in section ...
James B. Elsner, A. Tsonis
openaire +2 more sources
Multichannel adaptive signal detection: basic theory and literature review
Science China Information Sciences, 2021Multichannel adaptive signal detection uses test and training data jointly to form an adaptive detector to determine whether a target exists. The resulting adaptive detectors typically possess constant false alarm rate (CFAR) properties; thus, no ...
Weijian Liu +4 more
semanticscholar +1 more source
A Signal Detection Approach to Understanding the Identification of Fake News
Perspectives on Psychological Science, 2021Researchers across many disciplines seek to understand how misinformation spreads with a view toward limiting its impact. One important question in this research is how people determine whether a given piece of news is real or fake.
C. Batailler +3 more
semanticscholar +1 more source
Deep Expectation-Maximization for Joint MIMO Channel Estimation and Signal Detection
IEEE Transactions on Signal Processing, 2022To overcome the influence of channel estimation error on signal detection, this paper presents a model-driven deep learning method for joint channel estimation and signal detection in multiple-input multiple-output (MIMO) wireless communication systems ...
Yiqing Zhang +4 more
semanticscholar +1 more source
SignalP 5.0 improves signal peptide predictions using deep neural networks
Nature Biotechnology, 2019Jose Juan Almagro Armenteros +2 more
exaly +2 more sources
The forgotten history of signal detection theory.
Journal of Experimental Psychology. Learning, Memory and Cognition, 2020Signal detection theory is one of psychology's most well-known and influential theoretical frameworks. However, the conceptual hurdles that had to be overcome before the theory could finally emerge in its modern form in the early 1950s seem to have been ...
J. Wixted
semanticscholar +1 more source