Eurasip Journal on Advances in Signal Processing最新文献

Modified receiver architecture in software-defined radio for real-time modulation classification 软件定义无线电中用于实时调制分类的改进型接收器架构

IF 1.7 4区工程技术

Eurasip Journal on Advances in Signal Processing Pub Date : 2024-07-16 DOI: 10.1186/s13634-024-01176-6

Quoc Nam Le, Tan Quoc Huynh, H. Ta, Phuoc Vo Tan, Lap Luat Nguyen

引用次数: 0

Frame-based block sparse compressed sensing via $$l_2/l_1$$ l 2 / l 通过 $$l_2/l_1$$ l 2 / l 实现基于帧的块稀疏压缩传感

IF 1.7 4区工程技术

Eurasip Journal on Advances in Signal Processing Pub Date : 2024-07-16 DOI: 10.1186/s13634-024-01175-7

Fengong Wu, Penghong Zhong, Huasong Xiao, Chunmei Miao

引用次数: 0

Wavelet analysis on a generalized helix space curves and its examples 广义螺旋空间曲线的小波分析及其示例

IF 1.9 4区工程技术

Eurasip Journal on Advances in Signal Processing Pub Date : 2024-06-14 DOI: 10.1186/s13634-024-01164-w

Xiaohui Zhou

引用次数: 0

Kalman filter for radio source power and direction of arrival estimation 卡尔曼滤波器用于无线电源功率和到达方向估计

IF 1.9 4区工程技术

Eurasip Journal on Advances in Signal Processing Pub Date : 2024-05-23 DOI: 10.1186/s13634-024-01147-x

Cyril Cano, Nawel Arab, É. Chaumette, Pascal Larzabal, Mohammed Nabil El Korso, Isabelle Vin

引用次数: 0

An enhanced video compression approach through RLAH encoding and KDENN algorithms 通过 RLAH 编码和 KDENN 算法改进视频压缩方法

IF 1.9 4区工程技术

Eurasip Journal on Advances in Signal Processing Pub Date : 2024-01-22 DOI: 10.1186/s13634-024-01109-3

D. V. Manjunatha, Dattathreya, Umair Khan, G. K. Siddesh, S. V. Prabhakar, B. R. Sreenivasa, Taseer Muhammad, Ahmed M. Hassan

引用次数: 0

Air–ground integrated artificial intelligence of things with cognition-enhanced interference management 具有认知增强干扰管理功能的空地一体化人工智能物联网

IF 1.9 4区工程技术

Eurasip Journal on Advances in Signal Processing Pub Date : 2024-01-13 DOI: 10.1186/s13634-023-01100-4

Chao Ren, Jiayin Song, Mengxuan Qiu, Yingqi Li, Xianmei Wang

引用次数: 0

Multi-user communications for line-of-sight large intelligent surface systems 视距大型智能地面系统的多用户通信

IF 1.9 4区工程技术

Eurasip Journal on Advances in Signal Processing Pub Date : 2023-12-01 DOI: 10.1186/s13634-023-01084-1

Jiayi Chen

引用次数: 0

High-precision reconstruction method based on MTS-GAN for electromagnetic environment data in SAGIoT 基于 MTS-GAN 的 SAGIoT 电磁环境数据高精度重构方法

IF 1.9 4区工程技术

Eurasip Journal on Advances in Signal Processing Pub Date : 2023-12-01 DOI: 10.1186/s13634-023-01085-0

Lantu Guo, Yuchao Liu, Yuqian Li, Kai Yang

引用次数: 0

Model-based optimal action selection for Dyna-Q reverberation suppression cognitive sonar 基于模型的Dyna-Q混响抑制认知声纳最优动作选择

4区工程技术

Eurasip Journal on Advances in Signal Processing Pub Date : 2023-11-14 DOI: 10.1186/s13634-023-01054-7

Yubin Fu, Xiaochuan Ma, Chao Feng, Xingxuan Pei, Pengzhuo Li

{"title":"Model-based optimal action selection for Dyna-Q reverberation suppression cognitive sonar","authors":"Yubin Fu, Xiaochuan Ma, Chao Feng, Xingxuan Pei, Pengzhuo Li","doi":"10.1186/s13634-023-01054-7","DOIUrl":"https://doi.org/10.1186/s13634-023-01054-7","url":null,"abstract":"Abstract The Doppler shift of low-speed targets is frequently disturbed by the reverberation Doppler spread clutter under the shallow sea. The clutter is generated by underwater scatterers, which increases the difficulty of Doppler estimation. To solve this problem, a reverberation target resolution function based on the Doppler spread clutter statistical model is proposed in this paper. Through the width of reverberation Doppler clutter, this function adjusts the waveform parameters by determining whether the target is discriminable. In addition, the reverberation Doppler spread clutter is time-spatial varying and affected by grazing angle, waves, wind speed, fish and other effects. Thus, the sonar waveform parameters need to be adjusted constantly. Therefore, this paper combines the cognitive sonar based on reinforcement learning with the reverberation target resolution function to evaluate different waveforms in different environments. Consequently, the sonar can adjust the waveform parameters in real-time and obtain the optimal waveform in different environments. Meanwhile, in this paper, the action selection strategy of Dyna-Q reinforcement learning is optimized, and the model-based maximum action selection Dyna-Q algorithm (Dyna-Q-Max-Action) is proposed. Compared with the traditional Dyna-Q and Q-learning algorithms, the proposed algorithm needs fewer episodes. Finally, numerical simulation verified the effectiveness of the proposed algorithm.","PeriodicalId":49203,"journal":{"name":"Eurasip Journal on Advances in Signal Processing","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134953428","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Fairness resource allocation based on blockchain for secure communication in integrated IoT 基于区块链的集成物联网安全通信公平资源分配

4区工程技术

Eurasip Journal on Advances in Signal Processing Pub Date : 2023-11-09 DOI: 10.1186/s13634-023-01075-2

Wei Liang, Jun Zhao, Yan Liu, Yan Liang, Jingwen Li

{"title":"Fairness resource allocation based on blockchain for secure communication in integrated IoT","authors":"Wei Liang, Jun Zhao, Yan Liu, Yan Liang, Jingwen Li","doi":"10.1186/s13634-023-01075-2","DOIUrl":"https://doi.org/10.1186/s13634-023-01075-2","url":null,"abstract":"Abstract The emerging Space-Air-Ground, Artificial intelligence, blockchain and Vehicle-to-everything technology in Integrated Internet of Things (IoT) enables vehicles to communicate with other vehicles and roadside units (RSU), which improves communication efficiency and driving safety. Due to the rich data in the Integrated IoT, it is easy for illegal persons to steal data or deceive users. While reasonably allocating resources to complete the transmission task, it is still a challenge to ensure the communication security of vehicle users in Integrated IoT. In this paper, we study the cost of vehicle users transmitting tasks by Vehicle to Infrastructure and Vehicle to Vehicle (V2V) in Integrated IoT. In order to protect the information security, we establish the identity authentication and matching model to obtain a better channel environment of Integrated IoT. Moreover, we consider dynamic pricing based on bandwidth resource occupancy to ensure user experience and server load in Integrated IoT. Under the constraints of task tolerable delay, we fix the bandwidth on the V2V side and decouple the task decomposition and bandwidth allocation in Integrated IoT. Then, we propose algorithms Blockchain-based Vehicle Identity Authentication (BVIA) and Delay Weight Fairness Bandwidth Allocation (DWFBA). In this way, vehicle users and RSUs entering the Integrated IoT system are authenticated and matched with devices with good trust value, and the fairness of users resource allocation is guaranteed. Simulation results show that BVIA algorithm can reduce communication overhead, and DWFBA algorithm can control user costs and effectively reduce the number of task failures in Integrated IoT.","PeriodicalId":49203,"journal":{"name":"Eurasip Journal on Advances in Signal Processing","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135244157","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0