On the optimality of symbol-by-symbol filtering and denoising [PDF]
IEEE Transactions on Information Theory, 2004 This paper describes the optimality of symbol by symbol filtering and denoising and considers the problem of optimally recovering a discrete-time valued stochastic process from a noisy observation process. For binary Markov input process singlet filtering and denoising are optimal.
Erik Ordentlich, Tsachy Weissman
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Generalized MIMO transmit preprocessing using pilot symbol assisted rateless codes [PDF]
, 2010 In this paper, we propose a generalized multiple-input multiple-output (MIMO) transmit preprocessing system, where both the channel coding and the linear MIMO transmit precoding components exploit the knowledge of the channel. Moreover, we also propose a
Sheng Chen +8 more
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Prediction of Proteins in Cerebrospinal Fluid and Application to Glioma Biomarker Identification
Molecules, 2023 Cerebrospinal fluid (CSF) proteins are very important because they can serve as biomarkers for central nervous system diseases. Although many CSF proteins have been identified with wet experiments, the identification of CSF proteins is still a challenge.
Kai He, Yan Wang, Xuping Xie, Dan Shao
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Multiple-Symbol Differential Sphere Decoding Aided Amplify-and-Forward Differential Space-Time Modulation [PDF]
, 2011 Differential Space-Time Modulation (DSTM) employing multiple antennas provides a diversity advantage in rich scattering environments, whilst the excessive complexity of MIMO channel estimation is avoided.
Ng, Soon +7 more
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EGFAFS: A Novel Feature Selection Algorithm Based on Explosion Gravitation Field Algorithm
Entropy, 2022 Feature selection (FS) is a vital step in data mining and machine learning, especially for analyzing the data in high-dimensional feature space. Gene expression data usually consist of a few samples characterized by high-dimensional feature space.
Lan Huang, Xuemei Hu, Yan Wang, Yuan Fu
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On the Design of Turbo Trellis Coded Modulation schemes using Symbol-based EXIT Charts [PDF]
, 2006 In this paper we design bandwidth efficient parallel-concatenated Turbo Trellis Coded Modulation (TTCM) schemes for communicating over AWGN and uncorrelated Rayleigh fading channels.
Kliewer, J. +7 more
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CapsNet-SSP: multilane capsule network for predicting human saliva-secretory proteins
BMC Bioinformatics, 2020 Background Compared with disease biomarkers in blood and urine, biomarkers in saliva have distinct advantages in clinical tests, as they can be conveniently examined through noninvasive sample collection.
Wei Du +5 more
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A comprehensive psychological tendency prediction model for pregnant women based on questionnaires
Scientific Reports, 2023 More and more people are under high pressure in modern society, leading to growing mental disorders, such as antenatal depression for pregnant women. Antenatal depression can affect pregnant woman’s physical and psychological health and child outcomes ...
Xiaosong Han +6 more
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Entropy, 2023 Managed pressure drilling (MPD) is the most effective means to ensure drilling safety, and MPD is able to avoid further deterioration of complex working conditions through precise control of the wellhead back pressure.
Siqing Wei +5 more
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Overlapping Community Detection Based on Membership Degree Propagation
Entropy, 2020 A community in a complex network refers to a group of nodes that are densely connected internally but with only sparse connections to the outside. Overlapping community structures are ubiquitous in real-world networks, where each node belongs to at least
Rui Gao +4 more
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