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
UAV Signal Modulation Recognition Algorithm Based on Joint Features
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Access"
DOI: 10.1109/access.2025.3526194
Abstract: The precise identification of drone modulation schemes serves as a fundamental basis for achieving intelligent drone recognition. To address the limitations of existing algorithms that overly rely on single features, resulting in low recognition rates… read more here.
Keywords: modulation recognition; signal modulation; recognition algorithm; recognition ... See more keywords
Exploration of Analog Signal Modulation With Complementary Field-Effect Transistor (CFET)
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Electron Device Letters"
DOI: 10.1109/led.2025.3614511
Abstract: This work leverages the unique nature of CFETs for superior ambipolar conduction characteristics and explores CFET-based designs for frequency doubling, phase following, and phase reversal operations. The results highlight the advantages of CFETs for analog… read more here.
Keywords: signal modulation; exploration analog; modulation complementary; analog signal ... See more keywords
DCMNet: A Supervised Learning Framework for Radar Signal Modulation Recognition
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2025.3578289
Abstract: Traditional radar signal modulation recognition (RSMR) methods struggle to achieve the required accuracy under low signal-to-noise ratio (SNR) conditions. To address this issue, a hybrid network architecture integrating deformable convolution and mamba (DCMNet) is proposed.… read more here.
Keywords: radar signal; recognition; signal modulation; modulation recognition ... See more keywords
Fine-Grained Transductive Prototypical Network Based Few-Shot Signal Modulation Classification Using Coarse Labels
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Cognitive Communications and Networking"
DOI: 10.1109/tccn.2025.3594331
Abstract: Signal modulation classification (SMC), a key analytical process that decodes the modulation patterns in signal transmissions, is essential for cognitive radio (CR) systems to enhance communication efficiency and security. In the face of the extensive… read more here.
Keywords: signal modulation; modulation classification; transductive prototypical; fine grained ... 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
Clustering Diffusion Model with Frequency-Signal Modulation for Variational Graph Autoencoders.
Sign Up to like & getrecommendations! Published in 2025 at "IEEE transactions on pattern analysis and machine intelligence"
DOI: 10.1109/tpami.2025.3614385
Abstract: Variational autoencoders (VAEs) have been widely used for node clustering, with existing methods mainly focusing on enhancing the expressiveness of their latent space. Recently, the integration of diffusion models with VAEs has provided new opportunities… read more here.
Keywords: signal modulation; diffusion; diffusion model; graph ... 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