Stokes Space Modulation Format Identification for Optical Signals Using Probabilistic Neural Network
A Stokes space modulation format identification (MFI) method using probabilistic neural network (PNN) is proposed for coherent optical receivers. According to amplitude histograms obtained by the distribution of Stokes vectors on the s1 axis, the ...
Ming Hao +6 more
doaj +1 more source
A Density Clustering Algorithm for Simultaneous Modulation Format Identification and OSNR Estimation
In this work, we propose a combined method to implement both modulation format identification (MFI) and optical signal-to-noise ratio (OSNR) estimation, a method based on density-based spatial clustering of applications with a noise (DBSCAN) algorithm ...
Zhao Zhao +3 more
doaj +1 more source
Machine Learning Applications for Short Reach Optical Communication
With the rapid development of optical communication systems, more advanced techniques conventionally used in long-haul transmissions have gradually entered systems covering shorter distances below 100 km, where higher-speed connections are required in ...
Yapeng Xie +3 more
doaj +1 more source
Functional Genomics for the Identification of Modulators of Platelet-Dependent Thrombus Formation [PDF]
AbstractDespite the absence of the genome in platelets, transcription profiling provides important insights into platelet function and can help clarify abnormalities in platelet disorders. The Bloodomics Consortium performed whole-genome expression analysis comparing in vitro–differentiated megakaryocytes (MKs) with in vitro–differentiated ...
Vermeersch, Elien +6 more
openaire +3 more sources
Machine Learning-Aided Optical Performance Monitoring Techniques: A Review
Future communication systems are faced with increased demand for high capacity, dynamic bandwidth, reliability and heterogeneous traffic. To meet these requirements, networks have become more complex and thus require new design methods and monitoring ...
Dativa K. Tizikara +2 more
doaj +1 more source
Intelligent optical performance monitor using multi-task learning based artificial neural network
An intelligent optical performance monitor using multi-task learning based artificial neural network (MTL-ANN) is designed for simultaneous OSNR monitoring and modulation format identification (MFI).
Shu, * Liang +5 more
core +1 more source
Is the algorithm used to process heart rate variability data clinically relevant? Analysis in male adolescents [PDF]
OBJECTIVE: To analyze whether the algorithm used for the heart rate variability assessment (fast Fourier transform versus autoregressive methods) influenced its association with cardiovascular risk factors in male adolescents.
Bastos-Filho, Carmelo José Albanez +7 more
core +3 more sources
Method of Non-Data-Aided Carrier Recovery with Modulation Identification [PDF]
A non-data aided carrier recovery technique using digital modulation format identification called multi-mode PLL (Phase Locked Loop) is proposed. This technique can be interpreted as a modulation identification method that is robust against static phase ...
Kohno, Ryuji +2 more
core +1 more source
Function‐driven design of a surrogate interleukin‐2 receptor ligand
Interleukin (IL)‐2 signaling can be achieved and precisely fine‐tuned through the affinity, distance, and orientation of the heterodimeric receptors with their ligands. We designed a biased IL‐2 surrogate ligand that selectively promotes effector T and natural killer cell activation and differentiation. Interleukin (IL) receptors play a pivotal role in
Ziwei Tang +9 more
wiley +1 more source
Electrophysiological Signatures of Numerosity Encoding in a Delayed Match-to-Sample Task
The number of elements in a small set of items is appraised in a fast and exact manner, a phenomenon called subitizing. In contrast, humans provide imprecise responses when comparing larger numerosities, with decreasing precision as the number of ...
Wanlu Fu +6 more
doaj +1 more source

