Sensitive, Signal-Modulation Strategy for Discrimination of ECL Spectra and Investigation of Mutual Interactions of Emitters.
Sign Up to like & getrecommendations! Published in 2022 at "Analytical chemistry"
DOI: 10.1021/acs.analchem.1c05217
Abstract: The intensity of electrochemiluminescence (ECL) usually changes rapidly with the progress of the electrochemical process, making it difficult to determine the ECL spectrum with a conventional photomultiplier in a wavelength scan model. Herein, a band-pass… read more here.
Keywords: ecl; strategy; bpy; self ecl ... See more keywords
Artificial Olfactory Signal Modulation for Detection in Changing Environments.
Sign Up to like & getrecommendations! Published in 2023 at "ACS sensors"
DOI: 10.1021/acssensors.2c02852
Abstract: Animals have evolved to sense in complex environments through both modulation behavior including sniffing as well as sophisticated neural processing including memory and neuromodulation. Here, we explore thermal modulation of chemically diverse sensor arrays, where… read more here.
Keywords: artificial olfactory; modulation; signal modulation; olfactory signal ... See more keywords
Fully Complex Deep Learning Classifiers for Signal Modulation Recognition in Non-Cooperative Environment
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3151980
Abstract: Deep learning (DL) classifiers have significantly outperformed traditional likelihood-based or feature-based classifiers for signal modulation recognition in non-cooperative environments. However, despite these recent improvements, the conventional DL classifiers still have an unintended problem in handling… read more here.
Keywords: learning classifiers; deep learning; modulation recognition; modulation ... See more keywords
RffAe-S: Autoencoder Based on Random Fourier Feature With Separable Loss for Unsupervised Signal Modulation Clustering
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Industrial Informatics"
DOI: 10.1109/tii.2022.3171349
Abstract: Unsupervised signal modulation clustering is becoming increasingly important due to its application in the dynamic spectrum access process of 5G wireless communication and threat detection at the physical layer of Internet of Things. The need… read more here.
Keywords: signal modulation; rffae; feature; unsupervised signal ... See more keywords
A new method to solve the problem of facing less learning samples in signal modulation recognition
Sign Up to like & getrecommendations! Published in 2020 at "EURASIP Journal on Wireless Communications and Networking"
DOI: 10.1186/s13638-019-1627-6
Abstract: In machine learning method, the number of training samples is an exceedingly important factor determining the learning system’s robustness. In our previous researches (Liu et al., J. Syst. Eng. Electron. 27.2:333–342, 2016; Liu et al.,… read more here.
Keywords: modulation; signal modulation; new method; method solve ... See more keywords