Suchergebnisse - "unsupervised sparse‐autoencoder‐based deep neural network"

Robust approach for AMC in frequency selective fading scenarios using unsupervised sparse‐autoencoder‐based deep neural network

Autoren: Maqsood Hussain Shah Xiaoyu Dang

Quelle: IET Communications. 13:423-432

Schlagwörter: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Zugangs-URL: https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/iet-com.2018.5688
https://ieeexplore.ieee.org/document/8648840
https://doi.org/10.1049/iet-com.2018.5688
https://dblp.uni-trier.de/db/journals/iet-com/iet-com13.html#ShahD19
https://digital-library.theiet.org/content/journals/10.1049/iet-com.2018.5688
https://ietresearch.onlinelibrary.wiley.com/doi/10.1049/iet-com.2018.5688

Robust approach for AMC in frequency selective fading scenarios using unsupervised sparse‐autoencoder‐based deep neural network.

Autoren: Shah, Maqsood Hussain Dang, Xiaoyu

Quelle: IET Communications (Wiley-Blackwell); Mar2019, Vol. 13 Issue 4, p423-432, 10p

Schlagwörter: ARTIFICIAL neural networks, ARTIFICIAL intelligence, DEEP learning, ORDER statistics, SIGNAL classification

An electromagnetic signal classification method inspired by the visual characteristics of biological dual-channel.

Autoren: Dai, Shaogang Zhou, Huaji

Quelle: Wireless Networks (10220038); Feb2024, Vol. 30 Issue 2, p909-921, 13p

Schlagwörter: SIGNAL classification, LATERAL geniculate body, VISUAL cortex, VISUAL pathways, CONVOLUTIONAL neural networks, DEEP learning

Automatic Modulation Classification for MASK, MPSK, and MQAM Signals Based on Hierarchical Self-Organizing Map.

Autoren: Li, Zerun Wang, Qinglin Zhu, Yufei et al.

Quelle: Sensors (14248220); Sep2022, Vol. 22 Issue 17, p6449, 19p

Schlagwörter: SELF-organizing maps, AUTOMATIC classification, TELECOMMUNICATION systems, CUMULANTS, CLUSTER sampling

Construction of Home Product Design System Based on Self-Encoder Depth Neural Network.

Autoren: Lu, Guangpu

Quelle: Computational Intelligence & Neuroscience; 4/21/2022, p1-12, 12p

Schlagwörter: DWELLING design & construction, DEEP learning, DOMESTIC architecture, FURNITURE design, COMPUTER vision, ALGORITHMS

Practical AMC model based on SAE with various optimisation methods under different noise environments.

Autoren: Li, Zerun Wang, Qinglin Liu, Weisong et al.

Quelle: IET Communications (Wiley-Blackwell); Dec2020, Vol. 14 Issue 22, p4081-4088, 8p

Practical AMC model based on SAE with various optimisation methods under different noise environments.

Autoren: Li, Zerun Wang, Qinglin Liu, Weisong et al.

Quelle: IET Communications (Wiley-Blackwell); Dec2020, Vol. 14 Issue 22, p4081-4088, 8p