Learning to Remove Wrinkled Transparent Film with Polarized Prior

J Tang, R Wu, X Xu, S Hu… - Proceedings of the IEEE …, 2024 - openaccess.thecvf.com
In this paper we study a new problem Film Removal (FR) which attempts to remove the
interference of wrinkled transparent films and reconstruct the original information under films …

End-to-end underwater acoustic communication based on autoencoder with dense convolution

F Xie, Y Zhu, B Wang, W Wang, P Jin - Electronics, 2023 - mdpi.com
To address the problems of the high complexity and poor bit error rate (BER) performance of
traditional communication systems in underwater acoustic environments, this paper …

ELM‐based timing synchronization for OFDM systems by exploiting computer‐aided training strategy

M Zhang, S Tang, C Qing, N Yang, X Cai… - IET …, 2023 - Wiley Online Library
Due to the implementation bottleneck of training data collection in realistic wireless
communications systems, supervised learning‐based timing synchronization (TS) is …

Ultrasonic Through-Metal Communication Based on Deep-Learning-Assisted Echo Cancellation

J Zhang, M Jiang, J Zhang, M Gu, Z Cao - Sensors, 2024 - mdpi.com
Ultrasound is extremely efficient for wireless signal transmission through metal barriers due
to no limit of the Faraday shielding effect. Echoing in the ultrasonic channel is one of the …

Blind recognition of channel codes based on a multiscale dilated convolution neural network

K Liu, Y Cao, Y Lv - Physical Communication, 2024 - Elsevier
Channel coding is an essential part of communication. In a non-cooperative communication
system, the receiver has to recover the signal without any priori knowledge. Therefore, it is …

Blind detection and identification of polar codes based on the parity check conformity

Q Liu, H Zhang, P Yu - IEEE Communications Letters, 2022 - ieeexplore.ieee.org
Polar code is an emerging error-correcting code. The blind detection and identification of
polar codes are less studied. This letter proposes an algorithm to determine whether a …

Blind identification of channel codes under awgn and fading conditions via deep learning

H Peng, C Cao, Y Sun, H Li… - … Conference on Networking …, 2022 - ieeexplore.ieee.org
Blind identification of channel codes is crucial in intelligent communication and non-
cooperative signal processing, and it plays a significant role in wireless physical layer …

Blind Recognition of RS Codes Based on Channel Condition Determination

Y Wang, W Zhang, L Shi, Y Chang… - IEEE Communications …, 2024 - ieeexplore.ieee.org
In this letter, a blind recognition method of Reed-Solomon (RS) codes is proposed based on
channel condition determination. Existing methods based on Galois field Fourier transform …

[PDF][PDF] Blindness Detection Using Machine Learning Approaches

MJ Iqbal, M Nasir, M Umar, A Asif - … )/J Jilin Univ (Eng Technol Edn …, 2022 - researchgate.net
Vision impairment and blindness are chronic diseases where blindness is a complete or
partial loss of vision. Blindness occurs suddenly or over a period. The primary reasons for …

基于深层神经网络的信道编码类型盲识别.

杨宗方, 张天骐, 马焜然, 邹涵 - Systems Engineering & …, 2024 - search.ebscohost.com
为了解决当前识别算法只能识别一种或者两种码字类型以及人工提取特征复杂的问题,
提出了两种基于深层神经网络模型的信道编码类型识别器, 即卷积神经网络 …