EURASIP Journal on Advances in Signal Processing最新文献_第9页

Enhancing medical image object detection with collaborative multi-agent deep Q-networks and multi-scale representation 利用协作式多代理深度 Q 网络和多尺度表示增强医学图像对象检测能力

IF 1.9 4区工程技术

EURASIP Journal on Advances in Signal Processing Pub Date : 2023-12-21 DOI: 10.1186/s13634-023-01095-y

Qinghui Wang, Fenglin Liu, Ruirui Zou, Ying Wang, Chenyang Zheng, Zhiqiang Tian, Shaoyi Du, Wei Zeng

引用次数: 0

Correction: Recurrent neural networks for enhanced joint channel estimation and interference cancellation in FBMC and OFDM systems: unveiling the potential for 5G networks 更正：用于 FBMC 和 OFDM 系统中增强型联合信道估计和干扰消除的递归神经网络：揭示 5G 网络的潜力

IF 1.9 4区工程技术

EURASIP Journal on Advances in Signal Processing Pub Date : 2023-12-18 DOI: 10.1186/s13634-023-01090-3

R. M. Al-Makhlasawy, M. Khairy, Walid El‑Shafai

引用次数: 0

A survey on filtered-x least mean square-based active noise control systems with emphasis on reducing computational complexity 基于过滤-x最小均方差的主动噪声控制系统调查，重点是降低计算复杂性

IF 1.9 4区工程技术

EURASIP Journal on Advances in Signal Processing Pub Date : 2023-12-09 DOI: 10.1186/s13634-023-01088-x

Xiaolong Li, Wan Chen, Zhien Liu, Chihua Lu, Menglei Sun

{"title":"A survey on filtered-x least mean square-based active noise control systems with emphasis on reducing computational complexity","authors":"Xiaolong Li, Wan Chen, Zhien Liu, Chihua Lu, Menglei Sun","doi":"10.1186/s13634-023-01088-x","DOIUrl":"https://doi.org/10.1186/s13634-023-01088-x","url":null,"abstract":"Active noise control (ANC) is gaining ever-increasing attention owing to its powerful ability to attenuate low-frequency noise. The computational complexity of an ANC system may directly affect its computational efficiency, control performance, and hardware costs. Therefore, the focus of this paper is mainly on discussing the development of ANC systems with emphasis on reducing computational complexity. The ANC systems are classified into two groups of narrowband and broadband systems. The computational complexity analysis is provided to show the computational merit of each system with respect to the conventional ANC systems. In addition, numerical simulations are performed to evaluate the convergence speed and noise reduction performance of the considered systems. The results show that, in the narrowband ANC systems, the LFE-NANC, CFX-NANC and BFX-NANC systems enjoy better overall performance in terms of the computational complexity, convergence speed and steady-state error, and in the broadband ANC systems, the DF-BANC system has the lowest computational complexity but cannot effectively attenuate the broadband noise with high spectral dynamics, whereas the DS-BANC and MDS-BANC systems can. This study provides in-depth insight into current typical low-complexity ANC systems.","PeriodicalId":11816,"journal":{"name":"EURASIP Journal on Advances in Signal Processing","volume":"20 1","pages":""},"PeriodicalIF":1.9,"publicationDate":"2023-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138560752","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

Independently convolutional gated recurrent neural unit for space-based ADS-B signal separation with single antenna 利用单天线分离天基 ADS-B 信号的独立卷积门控递归神经单元

IF 1.9 4区工程技术

EURASIP Journal on Advances in Signal Processing Pub Date : 2023-12-08 DOI: 10.1186/s13634-023-01089-w

Chuankun Li, Yan Bi

引用次数: 0

Target detection based on generalized Bures–Wasserstein distance 基于广义布雷斯-瓦瑟斯坦距离的目标检测

IF 1.9 4区工程技术

EURASIP Journal on Advances in Signal Processing Pub Date : 2023-12-06 DOI: 10.1186/s13634-023-01087-y

Zhizhong Huang, Lin Zheng

{"title":"Target detection based on generalized Bures–Wasserstein distance","authors":"Zhizhong Huang, Lin Zheng","doi":"10.1186/s13634-023-01087-y","DOIUrl":"https://doi.org/10.1186/s13634-023-01087-y","url":null,"abstract":"Radar target detection with fewer echo pulses in non-Gaussian clutter background is a challenging problem. In this instance, the conventional detectors using coherent accumulation are not very satisfactory. In contrast, the matrix detector based on Riemannian manifolds has shown potential on this issue since the covariance matrix of radar echo data during one coherent processing interval(CPI) has a smooth manifold structure. The Affine Invariant (AI) Riemannian distance between the cell under test (CUT) and the reference cells has been used as a statistic to achieve improved detection performance. This paper uses the Bures–Wasserstein (BW) distance and Generalized Bures–Wasserstein (GBW) distance on Riemannian manifolds as test statistics of matrix detectors, and propose relevant target detection method. Maximizing the GBW distance is formulated as an optimization problem and is solved by the Riemannian trust-region (RTR) method to achieve enhanced discrimination for target detection. Our evaluation of simulated data and measured data show that the matrix detector based on GBW distance leads to a significant performance gain over existing methods.","PeriodicalId":11816,"journal":{"name":"EURASIP Journal on Advances in Signal Processing","volume":"1 1","pages":""},"PeriodicalIF":1.9,"publicationDate":"2023-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138548178","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

Experimental study of underwater operation scene with target perception framework 具有目标感知框架的水下作业场景实验研究

IF 1.9 4区工程技术

EURASIP Journal on Advances in Signal Processing Pub Date : 2023-11-30 DOI: 10.1186/s13634-023-01086-z

Jue Gao, Wei Ding, Haiping Yang

引用次数: 0

Experimental study of underwater operation scene with target perception framework 具有目标感知框架的水下作业场景实验研究

IF 1.9 4区工程技术

EURASIP Journal on Advances in Signal Processing Pub Date : 2023-11-30 DOI: 10.1186/s13634-023-01086-z

Jue Gao, Wei Ding, Haiping Yang

引用次数: 0

Efficient and privacy-preserving multi-agent systems for smart city carpooling with k-regret queries and differential privacy 基于k-后悔查询和差分隐私的智慧城市拼车高效隐私保护多智能体系统

IF 1.9 4区工程技术

EURASIP Journal on Advances in Signal Processing Pub Date : 2023-11-28 DOI: 10.1186/s13634-023-01082-3

Fei Chen, Xinjian Zhang, Bo Ning, Chao Yang, Xiao Jia

{"title":"Efficient and privacy-preserving multi-agent systems for smart city carpooling with k-regret queries and differential privacy","authors":"Fei Chen, Xinjian Zhang, Bo Ning, Chao Yang, Xiao Jia","doi":"10.1186/s13634-023-01082-3","DOIUrl":"https://doi.org/10.1186/s13634-023-01082-3","url":null,"abstract":"Multi-Agent Systems are characterized by the presence of multiple independent agents and find diverse applications. In the context of smart cities, MAS is employed in traffic management to enhance operational efficiency, optimize resource utilization, and improve the quality of life for residents. This research paper focuses on the design of a multi-agent intelligent scheduling system, where passengers, vehicles, and carpooling platforms serve as intelligent agents. The primary objective of passengers is to identify suitable shared vehicles based on criteria such as waiting time, budget constraints, and willingness to carpool. Vehicles, on the other hand, organize their schedules based on passenger demands and designated routes. The carpooling platform takes into account resource allocation priority and optimization problems to ensure the efficient operation of the system. To address the issue of vehicle ordering, k-regret queries are utilized, while passenger preferences provide insight into determining loss factors. To safeguard privacy, differential privacy techniques and a random response mechanism are employed when dealing with multiple passenger queries. Furthermore, a direction-preserving insertion verification method is implemented to mitigate computational complexity. The effectiveness and efficiency of the proposed approach are validated through experimentation.","PeriodicalId":11816,"journal":{"name":"EURASIP Journal on Advances in Signal Processing","volume":"1 1","pages":""},"PeriodicalIF":1.9,"publicationDate":"2023-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138539435","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

Efficient and privacy-preserving multi-agent systems for smart city carpooling with k-regret queries and differential privacy 基于k-后悔查询和差分隐私的智慧城市拼车高效隐私保护多智能体系统

IF 1.9 4区工程技术

EURASIP Journal on Advances in Signal Processing Pub Date : 2023-11-28 DOI: 10.1186/s13634-023-01082-3

Fei Chen, Xinjian Zhang, Bo Ning, Chao Yang, Xiao Jia

{"title":"Efficient and privacy-preserving multi-agent systems for smart city carpooling with k-regret queries and differential privacy","authors":"Fei Chen, Xinjian Zhang, Bo Ning, Chao Yang, Xiao Jia","doi":"10.1186/s13634-023-01082-3","DOIUrl":"https://doi.org/10.1186/s13634-023-01082-3","url":null,"abstract":"Multi-Agent Systems are characterized by the presence of multiple independent agents and find diverse applications. In the context of smart cities, MAS is employed in traffic management to enhance operational efficiency, optimize resource utilization, and improve the quality of life for residents. This research paper focuses on the design of a multi-agent intelligent scheduling system, where passengers, vehicles, and carpooling platforms serve as intelligent agents. The primary objective of passengers is to identify suitable shared vehicles based on criteria such as waiting time, budget constraints, and willingness to carpool. Vehicles, on the other hand, organize their schedules based on passenger demands and designated routes. The carpooling platform takes into account resource allocation priority and optimization problems to ensure the efficient operation of the system. To address the issue of vehicle ordering, k-regret queries are utilized, while passenger preferences provide insight into determining loss factors. To safeguard privacy, differential privacy techniques and a random response mechanism are employed when dealing with multiple passenger queries. Furthermore, a direction-preserving insertion verification method is implemented to mitigate computational complexity. The effectiveness and efficiency of the proposed approach are validated through experimentation.","PeriodicalId":11816,"journal":{"name":"EURASIP Journal on Advances in Signal Processing","volume":"1 1","pages":""},"PeriodicalIF":1.9,"publicationDate":"2023-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138539466","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

Low-complexity enhancement VVC encoder for vehicular networks 车载网络低复杂度增强VVC编码器

IF 1.9 4区工程技术

EURASIP Journal on Advances in Signal Processing Pub Date : 2023-11-27 DOI: 10.1186/s13634-023-01083-2

Xiantao Jiang, Wei Li, Tian Song

{"title":"Low-complexity enhancement VVC encoder for vehicular networks","authors":"Xiantao Jiang, Wei Li, Tian Song","doi":"10.1186/s13634-023-01083-2","DOIUrl":"https://doi.org/10.1186/s13634-023-01083-2","url":null,"abstract":"In intelligent transportation systems, real-time video streaming via vehicle networks has been seen as a vital difficulty. The goal of this paper is to decrease the computational complexity of the versatile video coding (VVC) encoder for VANETs. In this paper, a low-complexity enhancement VVC encoder is designed for vehicular communication. First, a fast coding unit (CU) partitioning scheme based on CU texture features is proposed in VVC, which aims to decide the final type of CU partition by calculating CU texture complexity and gray-level co-occurrence matrix (GLCM). Second, to reduce the number of candidate prediction mode types in advance, a fast chroma intra-prediction mode optimization technique based on CU texture complexity aims to combine intra-prediction mode features. Moreover, the simulation outcomes demonstrate that the overall approach may substantially reduce encoding time, while the loss of coding efficiency is reasonably low. The encoding time can be reduced by up to 53.29% when compared to the VVC reference model, although the average BD rate is only raised by 1.26%. The suggested VVC encoder is also hardware-friendly and has a minimal level of complexity for video encoders used in connected vehicle applications.","PeriodicalId":11816,"journal":{"name":"EURASIP Journal on Advances in Signal Processing","volume":"1 1","pages":""},"PeriodicalIF":1.9,"publicationDate":"2023-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138539442","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