Synthetic aperture radar (SAR) for ocean: A review
Oceans cover approximately 71% of the Earth's surface and provide numerous services to
the environment and humans. Precise, real-time, and large-scale monitoring of the …
the environment and humans. Precise, real-time, and large-scale monitoring of the …
Complex-valued end-to-end deep network with coherency preservation for complex-valued sar data reconstruction and classification
Deep learning models have achieved remarkable success in many different fields and
attracted many interests. Several researchers attempted to apply deep learning models to …
attracted many interests. Several researchers attempted to apply deep learning models to …
Robust beamforming based on complex-valued convolutional neural networks for sensor arrays
S Mohammadzadeh, VH Nascimento… - IEEE Signal …, 2022 - ieeexplore.ieee.org
Robust adaptive beamforming (RAB) plays a vital role in modern communications by
ensuring the reception of high-quality signals. This article proposes a deep learning …
ensuring the reception of high-quality signals. This article proposes a deep learning …
Cosmic topology. Part IVa. Classification of manifolds using machine learning: a case study with small toroidal universes
A Tamosiunas, F Cornet-Gomez… - … of Cosmology and …, 2024 - iopscience.iop.org
Non-trivial spatial topology of the Universe may give rise to potentially measurable
signatures in the cosmic microwave background. We explore different machine learning …
signatures in the cosmic microwave background. We explore different machine learning …
Channel estimation based on complex-valued neural networks in IM/DD FBMC/OQAM transmission system
J Chu, M Gao, X Liu, M Bi, H Huang… - Journal of Lightwave …, 2022 - opg.optica.org
Filter bank multicarrier with offset quadrature amplitude modulation (FBMC/OQAM) is a
promising candidate for 5G mobile fronthaul system. Due to the inherent imaginary …
promising candidate for 5G mobile fronthaul system. Due to the inherent imaginary …
[HTML][HTML] RosenPy: An open source python framework for complex-valued neural networks
AA Cruz, KS Mayer, DS Arantes - SoftwareX, 2024 - Elsevier
Deep learning is an essential artificial intelligence tool broadly used in engineering, physics,
data science, biology, healthcare, agribusiness, finance, and many other areas. Current …
data science, biology, healthcare, agribusiness, finance, and many other areas. Current …
CoShNet: A Hybrid Complex Valued Neural Network using Shearlets
M Ko, UK Panchal, H Andrade-Loarca… - arXiv preprint arXiv …, 2022 - arxiv.org
In a hybrid neural network, the expensive convolutional layers are replaced by a non-
trainable fixed transform with a great reduction in parameters. In previous works, good …
trainable fixed transform with a great reduction in parameters. In previous works, good …
Complex-Valued Neural Network Based Federated Learning for Multi-User Indoor Positioning Performance Optimization
In this article, the use of channel state information (CSI) for indoor positioning is studied. In
the considered model, a server equipped with several antennas sends pilot signals to users …
the considered model, a server equipped with several antennas sends pilot signals to users …
Optimal approximation using complex-valued neural networks
P Geuchen, F Voigtlaender - Advances in Neural …, 2024 - proceedings.neurips.cc
Complex-valued neural networks (CVNNs) have recently shown promising empirical
success, for instance for increasing the stability of recurrent neural networks and for …
success, for instance for increasing the stability of recurrent neural networks and for …
Comparison between equivalent architectures of complex-valued and real-valued neural networks-Application on polarimetric SAR image segmentation
JA Barrachina, C Ren, C Morisseau, G Vieillard… - Journal of Signal …, 2023 - Springer
We present an in-depth statistical comparison among several Complex-Valued Neural
Network (CVNN) models on the Oberpfaffenhofen Polarimetric Synthetic Aperture Radar …
Network (CVNN) models on the Oberpfaffenhofen Polarimetric Synthetic Aperture Radar …