Complex-Valued Convolutional Neural Network With Learnable Activation Function for Frequency-Domain Radar Signal Processing

Συγγραφείς: Chakraborty, Mainak, Author, Daneshtalab, Masoud, Author

Συνεισφορές: Chakraborty, Mainak, Author, Daneshtalab, Masoud, Author

Πηγή: IEEE Transactions on Aerospace and Electronic Systems. 62:3044-3059

Θεματικοί όροι: Deep learning, frequency-domain complex-valued convolutional neural networks, frequency-domain complex-valued learnable activation function, radar signal processing, synthetic aperture radar, Activation analysis, Antennas, Chemical activation, Classification (of information), Complex networks, Computational complexity, Continuous wave radar, Convolution, Convolutional neural networks, Deep neural networks, Frequency domain analysis, Land use, Open systems, Radar target recognition, Radioactivity logging, Tensors, Unmanned aerial vehicles (UAV), Activation functions, Complex-valued, Convolutional neural network, Domain complexes, Frequency domains, Frequency-domain complex-valued convolutional neural network, Radar signals, Signal-processing

Περιγραφή αρχείου: print

Σύνδεσμος πρόσβασης: https://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-75339
https://doi.org/10.1109/TAES.2025.3646567

Complex-Valued Convolutional Neural Network With Learnable Activation Function for Frequency-Domain Radar Signal Processing

Συγγραφείς: Chakraborty, Mainak, Daneshtalab, Masoud

Όροι ευρετηρίου: Deep learning, frequency-domain complex-valued convolutional neural networks, frequency-domain complex-valued learnable activation function, radar signal processing, synthetic aperture radar, Activation analysis, Antennas, Chemical activation, Classification (of information), Complex networks, Computational complexity, Continuous wave radar, Convolution, Convolutional neural networks, Deep neural networks, Frequency domain analysis, Land use, Open systems, Radar target recognition, Radioactivity logging, Tensors, Unmanned aerial vehicles (UAV), Activation functions, Complex-valued, Convolutional neural network, Domain complexes, Frequency domains, Frequency-domain complex-valued convolutional neural network, Radar signals, Signal-processing, Signal Processing, Signalbehandling, Article in journal, info:eu-repo/semantics/article, text

Σύνδεσμος: http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-75339
IEEE Transactions on Aerospace and Electronic Systems, 0018-9251, 2026, 62, s. 3044-3059

Hybrid real- and complex-valued neural network architecture.

Συγγραφείς: Young, Alex, Fiorio, Luan Vinícius, Yang, Bo, Karanov, Boris, van Houtum, Wim, Aarts, Ronald M.

Πηγή: Journal on Audio, Speech & Music Processsing; 4/9/2026, Vol. 2026 Issue 1, p1-22, 22p

WCCN: An Efficient and Stable Neural Network Architecture for Complex-Valued Deep Learning.

Συγγραφείς: Chen, Bing-Zhou, Zheng, Hai-Ying, Wang, Ao-Wen, Xia, Ke-Lei, Fan, Li-Feng, Wang, Zhong-Yi, Huang, Lan

Πηγή: Computers, Materials & Continua; 2026, Vol. 88 Issue 1, p1-35, 35p

Θεματικοί όροι: Artificial neural networks, Feature extraction, Pattern perception, Deep learning, Optimization algorithms

Quasi-conformal Convolution: A Learnable Convolution for Deep Learning on Simply Connected Open Surfaces.

Συγγραφείς: Zhang, Han, Ip, Tsz Lok, Lui, Lok Ming

Πηγή: SIAM Journal on Imaging Sciences; 2026, Vol. 19 Issue 1, p555-583, 29p

Spectral-DETR: Learnable Frequency Decomposition with Adaptive Contrastive Regularization for Robust Underground Mine Detection.

Συγγραφείς: Song, Yuexin, Dai, Lukang, Xu, Xinqi, Yang, Jun

Πηγή: Journal of Imaging; Sep2026, Vol. 12 Issue 9, p401, 24p

SurReal: Complex-Valued Learning as Principled Transformations on a Scaling and Rotation Manifold.

Συγγραφείς: Chakraborty, Rudrasis, Xing, Yifei, Yu, Stella X.

Πηγή: IEEE Transactions on Neural Networks & Learning Systems; Mar2022, Vol. 33 Issue 3, p940-951, 12p

Θεματικοί όροι: Deep learning, Rotational motion, Geometric approach, Signal processing, Biological neural networks, Complex numbers

Retinopathy grading with deep learning and wavelet hyper-analytic activations.

Συγγραφείς: Chandrasekaran, Raja, Loganathan, Balaji

Πηγή: Visual Computer; Jul2023, Vol. 39 Issue 7, p2741-2756, 16p

Θεματικοί όροι: Deep learning, Convolutional neural networks, Digital preservation, Diabetic retinopathy

Time–frequency embedding with contrastive pre-training allows sub-second seizure detection.

Συγγραφείς: Merker, Helena A, Dalla Betta, Isabella, Wilson, Matthew A, Flores, Francisco J, Brown, Emery N

Πηγή: Journal of Neural Engineering; 2026, Vol. 23 Issue 5, p1-13, 13p

FSSM: Frequency-Enhanced State Space Modeling with FFT-Based Two-Sided Non-Causal Convolution for Image Dehazing.

Συγγραφείς: Zeng, Li, Huang, Yinqing

Πηγή: Journal of Imaging; Jun2026, Vol. 12 Issue 6, p260, 22p

KAN-ResNet-Enhanced Radio Frequency Fingerprint Identification with Zero-Forcing Equalization.

Συγγραφείς: Chen, Hongbo, Zhou, Ruohua, Yuan, Qingsheng, Guo, Ziye, Fu, Wei

Πηγή: Sensors (14248220); Apr2025, Vol. 25 Issue 7, p2222, 31p

Θεματικοί όροι: Radio frequency identification systems, Internet security, Internet of things, Error rates, Wireless Internet

Dual-Stream Complex-Valued Convolutional Network for Authentic Dehazed Image Quality Assessment.

Συγγραφείς: Guan, Tuxin, Li, Chaofeng, Zheng, Yuhui, Wu, Xiaojun, Bovik, Alan C.

Πηγή: IEEE Transactions on Image Processing; 2024, Vol. 33, p466-478, 13p

Cardio-Dense: Diagnosis of Cardiac Abnormalities Based on Phonocardiogram Using Improved Swin Transformer Through Lightweight Dense Blocks.

Συγγραφείς: Ahmed, Alaa E. S., Ibrahim, Mostafa E. A., Daadaa, Yassine

Πηγή: Diagnostics (2075-4418); May2026, Vol. 16 Issue 10, p1421, 27p

Θεματικοί όροι: Heart valve diseases, Diagnosis, Transformer models, Cardiovascular diseases, Deep learning, Feature extraction, Signal processing, Heart sounds

Towards NeuroAI: introducing neuronal diversity into artificial neural networks.

Συγγραφείς: Fan, Feng-Lei, Li, Yingxin, Zeng, Tieyong, Wang, Fei, Peng, Hanchuan

Πηγή: Med-X; 1/9/2025, Vol. 3 Issue 1, p1-21, 21p

Event-Based Video Reconstruction With Deep Spatial-Frequency Unfolding Network.

Συγγραφείς: Ge, Chengjie, Fu, Xueyang, Wang, Kunyu, Zha, Zheng-Jun

Πηγή: IEEE Transactions on Image Processing; 2025, Vol. 34, p1779-1794, 16p

Quantitative prediction of intracellular dynamics and synaptic currents in a small neural circuit.

Συγγραφείς: Burghi, Thiago B., Schapiro, Kyra, Ivanova, Maria, Wang, Huaxinyu, Marder, Eve, O'Leary, Timothy

Πηγή: Frontiers in Computational Neuroscience; 2025, p1-19, 19p

Θεματικοί όροι: Central pattern generators, Deep learning, Prediction models, Ganglia, Neural circuitry, Cell communication, Membrane potential

A unified deep learning framework for estimating acoustic context parameters from first order ambisonic speech recordings.

Συγγραφείς: Meng, Hanyu, Breebaart, Jeroen, Stoddard, Jeremy, Sethu, Vidhyasaharan, Ambikairajah, Eliathamby

Πηγή: Journal on Audio, Speech & Music Processsing; 1/13/2026, Vol. 2026 Issue 1, p1-19, 19p

Graph Fourier Deep Learning for Spatiotemporal and Hydrogeological Interpretation of Groundwater Levels in the Yellow River Basin.

Συγγραφείς: Wu, Zhenjiang, Yao, Yingying, Guo, Shuitao, Yang, Shuai, He, Xin, Lancia, Michele, Zheng, Chunmiao

Πηγή: Water Resources Research; Nov2025, Vol. 61 Issue 11, p1-20, 20p

Θεματικοί όροι: Hydrogeology, Water table, Deep learning, Watersheds, Spatiotemporal processes, Climate change, Prediction models

Γεωγραφικοί όροι: Yellow River (China), China

Unveiling the Power of Kolmogorov-Arnold Network for Lithology Identification Based on Well Logs

Συγγραφείς: Jiang, Fujie^{Aff1, Aff2, Aff3, Aff4, IDs11053026107099_cor1}, Zhang, Zitong^{Aff3, Aff4, IDs11053026107099_cor2}, Zhou, Chunxu^{Aff3, Aff4}, Ma, Qiaoyu^Aff5

Πηγή: Natural Resources Research: Official Journal of the International Association for Mathematical Geosciences. :1-22

Part-Wise Graph Fourier Learning for Skeleton-Based Continuous Sign Language Recognition.

Συγγραφείς: Wei, Dong, Hu, Hongxiang, Ma, Gang-Feng

Πηγή: Journal of Imaging; Aug2025, Vol. 11 Issue 8, p286, 18p