A unified algorithmic framework for distributed adaptive signal and feature fusion problems—part I: Algorithm derivation
CA Musluoglu, A Bertrand - IEEE Transactions on Signal …, 2023 - ieeexplore.ieee.org
In this article, we describe a general algorithmic framework for solving linear signal or
feature fusion optimization problems in a distributed setting, for example in a wireless sensor …
feature fusion optimization problems in a distributed setting, for example in a wireless sensor …
Dual-channel hybrid neural network for modulation recognition
M Lu, T Peng, G Yue, B Ma, X Liao - IEEE Access, 2021 - ieeexplore.ieee.org
In the blind recognition of wireless communication modulation based on deep learning, how
to further improve the recognition accuracy has become a key research issue. In this work …
to further improve the recognition accuracy has become a key research issue. In this work …
A data-driven spike sorting feature map for resolving spike overlap in the feature space
J Wouters, F Kloosterman… - Journal of Neural …, 2021 - iopscience.iop.org
Objective. Spike sorting is the process of extracting neuronal action potentials, or spikes,
from an extracellular brain recording, and assigning each spike to its putative source …
from an extracellular brain recording, and assigning each spike to its putative source …
Adversarial perturbation attacks on nested dichotomies classification systems
The study of robustness of deep classifiers has exposed their vulnerability to perturbation
attacks. Prior work has largely focused on adversarial attacks targeting one-stage-classifiers …
attacks. Prior work has largely focused on adversarial attacks targeting one-stage-classifiers …
Finite impulse response design based on two‐level transpose Vedic multiplier for medical image noise reduction
Medical signal processing requires noise and interference‐free inputs for precise
segregation and classification operations. However, sensing and transmitting wireless …
segregation and classification operations. However, sensing and transmitting wireless …
基于DropBlock 双模态混合神经网络的无线通信调制识别
高岩, 石坚, 马圣雨, 马柏林, 乐光学 - 电信科学, 2022 - infocomm-journal.com
自动调制识别作为信号检测和解调的中间步骤, 在无线通信系统中起着至关重要的作用.
针对现有自动调制识别方法识别精度低的问题, 提出了一种双模态混合神经网络(bimodal hybrid …
针对现有自动调制识别方法识别精度低的问题, 提出了一种双模态混合神经网络(bimodal hybrid …
Windowed State Space Filters for Peak Interference Suppression in Neural Spike Sorting
C Baeriswyl, A Bertrand… - 2022 30th European …, 2022 - ieeexplore.ieee.org
Signal-to-peak-interference ratio (SPIR) optimal fil-ters are template matching filters with
peak interference suppression properties. Such max-SPIR filters are used in multi-pattern …
peak interference suppression properties. Such max-SPIR filters are used in multi-pattern …