Spectral Convolution Feature-Based SPD Matrix Representation for Signal Detection Using a Deep Neural Network

Spectral Convolution Feature-Based SPD Matrix Representation for Signal Detection Using a Deep Neural Network

Convolutional neural networks have powerful performances in many visual tasks because of their hierarchical structures and powerful feature extraction capabilities. SPD (symmetric positive definition) matrix is paid attention to in visual classification, because it has excellent ability to learn pro...

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Bibliographic Details
Main Authors: Jiangyi Wang, Min Liu, Xinwu Zeng, Xiaoqiang Hua
Format: Article
Language:English
Published: MDPI AG 2020-08-01
Series:Entropy
Subjects:
SPD matrix learning
local features
deep neural networks
signal detection
Online Access:https://www.mdpi.com/1099-4300/22/9/949

Internet

https://www.mdpi.com/1099-4300/22/9/949

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