Convolutional Neural Filtering for Intelligent Communications Signal Processing in Harsh Environments

Sun, Zhuo; Li, Jingjing; Fan, Jinpo

doi:10.1109/access.2021.3049950

Cited by 3 publications

(2 citation statements)

References 12 publications

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“…Once a group of elements are merged, the subsequent operations are performed on the newly generated clusters, and the results of the processing are not allowed to be deleted, resulting in the inability to exchange objects between the classes, and the satisfactory clustering effect will not be achieved [ 24 ]). Generate random solutions by executing ( 10 ):

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Section: Good Life and Coordinated Development Research Methods Based On Intelligent Communication And K -Means Algorimentioning

confidence: 99%

Research on a Good Life and Coordinated Development Based on Intelligent Communication and k-Means Algorithm

2022

Journal of Healthcare Engineering

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Due to the rapid development of society and economy, people have more and more urgent needs for a better life and coordinated development between regions. However, research on people’s good life and coordinated development based on new era technologies such as intelligent communication is not sufficient. The future of smart communications technology will be all over the place, from television to mobile phones and the Internet, and ICT is making the world look new, helping hundreds of millions of people to live, work, and play in the most creative ways. At the same time, ICT is managing cities in innovative ways, especially in an increasingly integrated information society, exchanging information knowledge and communicating on the move. In order to understand the impact of intelligent communication on people’s good life and coordinated development research, this paper uses intelligent communication and k-means algorithm-based methods to study people’s good life and coordinated development and conducts questionnaire surveys and constructs corresponding evaluation indicators analysis. The results showed that 36% of the respondents were satisfied with the housing environment, 24% were relatively satisfied, 76% were satisfied with the greening environment, and 13% were relatively satisfied. 41% of people are satisfied with their health, and 32% are satisfied with their work status. This shows that people’s good life and coordinated development are inseparable from rapid economic development, but rapid economic development alone is far from enough because rapid economic development can improve people’s material living conditions, but not necessarily promote people’s life coordination in the spiritual world. Therefore, for people’s good life and coordinated development, the improvement of material economy and the construction of spiritual level are indispensable.

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Section: Good Life and Coordinated Development Research Methods Based On Intelligent Communication And K -Means Algorimentioning

confidence: 99%

Research on a Good Life and Coordinated Development Based on Intelligent Communication and k-Means Algorithm

2022

Journal of Healthcare Engineering

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“…Compared with machine learning algorithm, the deep learning model has better ability of feature extraction and adaptive learning for complex and dynamic data distribution. It has made great progress in the field of wireless communications [5,6]. These valuable researches provide some references for communication signal enhancement.…”

Section: Introductionmentioning

confidence: 99%

A Novel Approach Based on Generative Adversarial Network for Signal Enhancement in Wireless Communications

Zhu

Yao

et al. 2022

Wireless Communications and Mobile Computing

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Wireless communication signals are often affected by noise and interference in the channel during transmission, which makes it difficult for the receiver to analyze. The signal enhancement technology can suppress the noise and interference in the signal, so as to improve the communication quality. It is one of the main research directions of signal processing. Classical enhancement methods separate the signals through separable transform domain. Artificial construction of the corresponding separable transform domain requires prior information of noise and interference, but they have the characteristics of randomness. Further, these methods usually use high-level features and rely on statistics, so they can only deal with specific noise conditions. At present, deep learning is increasingly applied in the field of wireless communications due to its powerful feature extraction ability for large sample sets. In this paper, a communication signal enhancement model based on generative adversarial network (GAN) is proposed. Compared with classical methods, the signal is operated directly and the model is trained end-to-end. It can adapt to different noise conditions and avoid the above problems. An independent and invisible test set is used to evaluate several comparative methods. The experimental results confirm the effectiveness of the proposed model.

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Convolution Filter Equivariance/Invariance in Convolutional Neural Networks: A Survey

Habte,

Ibenthal,

Bekele

et al. 2023

Communications in Computer and Information Science

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Convolutional Neural Filtering for Intelligent Communications Signal Processing in Harsh Environments

Cited by 3 publications

References 12 publications

Research on a Good Life and Coordinated Development Based on Intelligent Communication and k-Means Algorithm

Research on a Good Life and Coordinated Development Based on Intelligent Communication and k-Means Algorithm

A Novel Approach Based on Generative Adversarial Network for Signal Enhancement in Wireless Communications

Convolution Filter Equivariance/Invariance in Convolutional Neural Networks: A Survey

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