EURASIP Journal on Advances in Signal Processing最新文献_第2页

A survey of machine learning techniques for improving Global Navigation Satellite Systems 改进全球导航卫星系统的机器学习技术概览

IF 1.9 4区工程技术

EURASIP Journal on Advances in Signal Processing Pub Date : 2024-06-28 DOI: 10.1186/s13634-024-01167-7

Adyasha Mohanty, Grace Gao

引用次数: 0

Robust coherent and incoherent statistics for detection of hidden periodicity in models with non-Gaussian additive noise 在非高斯加性噪声模型中检测隐藏周期性的稳健相干和非相干统计量

IF 1.9 4区工程技术

EURASIP Journal on Advances in Signal Processing Pub Date : 2024-06-25 DOI: 10.1186/s13634-024-01168-6

Wojciech Żuławiński, Jerome Antoni, Radosław Zimroz, Agnieszka Wyłomańska

{"title":"Robust coherent and incoherent statistics for detection of hidden periodicity in models with non-Gaussian additive noise","authors":"Wojciech Żuławiński, Jerome Antoni, Radosław Zimroz, Agnieszka Wyłomańska","doi":"10.1186/s13634-024-01168-6","DOIUrl":"https://doi.org/10.1186/s13634-024-01168-6","url":null,"abstract":"We address the issue of detecting hidden periodicity when the signal exhibits periodic correlation, but is additionally affected by non-Gaussian noise with unknown characteristics. This scenario is common in various applications. The conventional approach for identifying periodically correlated (PC) behavior involves the frequency domain-based analysis. In our investigation, we also employ such an approach; however, we use a robust version of the discrete Fourier transform incorporating the Huber function-based M-estimation, unlike the classical algorithm. Building upon this approach, we propose robust coherent and incoherent statistics originally designed to identify hidden periodicity in pure PC models. The novelty of this paper lies in introducing robust coherent and incoherent statistics through the application of the robust discrete Fourier transform in classical algorithms and proposing a new technique for period estimation based on the proposed methodology. We explore two types of PC models and two types of additive noise, resulting in PC signals disturbed by non-Gaussian additive noise. Detecting hidden periodicity in such cases proves to be significantly more challenging than in classical scenarios. Through Monte Carlo simulations, we demonstrate the effectiveness of the proposed robust approaches and their superiority over classical. To further substantiate our findings, we analyze three datasets in which hidden periodicity had previously been confirmed in the literature. Among them, two datasets correspond to the condition monitoring area, being a main motivation of our research.","PeriodicalId":11816,"journal":{"name":"EURASIP Journal on Advances in Signal Processing","volume":"34 1","pages":""},"PeriodicalIF":1.9,"publicationDate":"2024-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141529437","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

A DRL-based resource allocation for IRS-enhanced semantic spectrum sharing networks 基于 DRL 的 IRS 增强型语义频谱共享网络资源分配器

IF 1.9 4区工程技术

EURASIP Journal on Advances in Signal Processing Pub Date : 2024-06-04 DOI: 10.1186/s13634-024-01162-y

Yingzheng Zhang, Jufang Li, Guangchen Mu, Xiaoyu Chen

{"title":"A DRL-based resource allocation for IRS-enhanced semantic spectrum sharing networks","authors":"Yingzheng Zhang, Jufang Li, Guangchen Mu, Xiaoyu Chen","doi":"10.1186/s13634-024-01162-y","DOIUrl":"https://doi.org/10.1186/s13634-024-01162-y","url":null,"abstract":"Semantic communication and spectrum sharing are pivotal technologies in addressing the perennial challenge of scarce spectrum resources for the sixth-generation (6G) communication networks. Notably, scant attention has been devoted to investigating semantic resource allocation within spectrum sharing semantic communication networks, thereby constraining the full exploitation of spectrum efficiency. To mitigate interference issues between primary users and secondary users while augmenting legitimate signal strength, the introduction of Intelligent Reflective Surfaces (IRS) emerges as a salient solution. In this study, we delve into the intricacies of resource allocation for IRS-enhanced semantic spectrum sharing networks. Our focal point is the maximization of semantic spectral efficiency (S-SE) for the secondary semantic network while upholding the minimum quality of service standards for the primary semantic network. This entails the joint optimization of parameters such as semantic symbol allocation, subchannel allocation, reflective coefficients of IRS elements, and beamforming adjustment of secondary base station. Recognizing computational intricacies and interdependence of variables in the non-convex optimization problem formulated, we present a judicious approach: a hybrid intelligent resource allocation approach leveraging dueling double-deep Q networks coupled with the twin-delayed deep deterministic policy. Simulation results unequivocally affirm the efficacy of our proposed resource allocation approach, showcasing its superior performance relative to baseline schemes. Our approach markedly enhances the S-SE of the secondary network, thereby establishing its prowess in advancing the frontiers of semantic spectrum sharing (S-SE).","PeriodicalId":11816,"journal":{"name":"EURASIP Journal on Advances in Signal Processing","volume":"33 1","pages":""},"PeriodicalIF":1.9,"publicationDate":"2024-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141258324","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

Design and analysis of CP-free OFDM PDMA transmission system 无 CP 的 OFDM PDMA 传输系统的设计与分析

IF 1.9 4区工程技术

EURASIP Journal on Advances in Signal Processing Pub Date : 2024-06-03 DOI: 10.1186/s13634-024-01154-y

Jiao Liu, Jianqiang He

{"title":"Design and analysis of CP-free OFDM PDMA transmission system","authors":"Jiao Liu, Jianqiang He","doi":"10.1186/s13634-024-01154-y","DOIUrl":"https://doi.org/10.1186/s13634-024-01154-y","url":null,"abstract":"The paragraph introduces a proposed CP-free OFDM PDMA downlink transmission system. The main focus of the system is to address the capacity limitations caused by the overhead of cyclic prefix in traditional PDMA systems. The transmitter utilizes a pattern mapping unit before CP-free OFDM modulation to enhance system capacity and frequency efficiency. Decision feedback equalization (DFE) is employed in the receiver to eliminate intersymbol interference. The output signals from the DFE are then passed through a CP restoration unit to convert a linear-shifted signal into a cyclic-shifted signals. To assess the system's performance, simulations are conducted, investigating different key parameters such as overload rate, channel condition, and signal-to-noise ratio. The results indicate that, compared to CP OFDM PDMA systems, the proposed CP-free PDMA system significantly enhances system capacity under the same overload rate. Additionally, bit error rate is also evaluated during the simulations. Overall, the paragraph provides an overview of the proposed CP-free OFDM PDMA system, its components, and the simulation-based evaluation of its performance compared to traditional PDMA systems.","PeriodicalId":11816,"journal":{"name":"EURASIP Journal on Advances in Signal Processing","volume":"17 1","pages":""},"PeriodicalIF":1.9,"publicationDate":"2024-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141258556","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

Spreading code optimization for low-earth orbit satellites via mixed-integer convex programming 通过混合整数凸编程优化低地轨道卫星的传播代码

IF 1.9 4区工程技术

EURASIP Journal on Advances in Signal Processing Pub Date : 2024-05-29 DOI: 10.1186/s13634-024-01160-0

Alan Yang, Tara Mina, Grace Gao

{"title":"Spreading code optimization for low-earth orbit satellites via mixed-integer convex programming","authors":"Alan Yang, Tara Mina, Grace Gao","doi":"10.1186/s13634-024-01160-0","DOIUrl":"https://doi.org/10.1186/s13634-024-01160-0","url":null,"abstract":"Optimizing the correlation properties of spreading codes is critical for minimizing inter-channel interference in satellite navigation systems. By improving the codes’ correlation sidelobes, we can enhance navigation performance while minimizing the required spreading code lengths. In the case of low-earth orbit (LEO) satellite navigation, shorter code lengths (on the order of a hundred) are preferred due to their ability to achieve fast signal acquisition. Additionally, the relatively high signal-to-noise ratio in LEO systems reduces the need for longer spreading codes to mitigate inter-channel interference. In this work, we propose a two-stage block coordinate descent (BCD) method which optimizes the codes’ correlation properties while enforcing the autocorrelation sidelobe zero property. In each iteration of the BCD method, we solve a mixed-integer convex program over a block of 25 binary variables. Our method is applicable to spreading code families of arbitrary sizes and lengths, and we demonstrate its effectiveness for a problem with 66 length-127 codes and a problem with 130 length-257 codes.","PeriodicalId":11816,"journal":{"name":"EURASIP Journal on Advances in Signal Processing","volume":"23 1","pages":""},"PeriodicalIF":1.9,"publicationDate":"2024-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141190866","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

Suppressing random noise in seismic signals using wavelet thresholding based on improved chaotic fruit fly optimization 基于改进混沌果蝇优化的小波阈值法抑制地震信号中的随机噪声

IF 1.9 4区工程技术

EURASIP Journal on Advances in Signal Processing Pub Date : 2024-05-18 DOI: 10.1186/s13634-024-01161-z

Feng Yang, Jun Liu, Qingming Hou, Lu Wu

引用次数: 0

Cooperative Localization under Ionospheric Scintillation Events 电离层闪烁事件下的合作定位

IF 1.9 4区工程技术

EURASIP Journal on Advances in Signal Processing Pub Date : 2024-05-15 DOI: 10.1186/s13634-024-01140-4

P. R. P. Silva, Marcelo G. S. Bruno, Alison O. Moraes

引用次数: 0

Deep video-based person re-identification (Deep Vid-ReID): comprehensive survey 基于深度视频的人员再识别（Deep Vid-ReID）：全面调查

IF 1.9 4区工程技术

EURASIP Journal on Advances in Signal Processing Pub Date : 2024-05-15 DOI: 10.1186/s13634-024-01139-x

Rana S. M. Saad, Mona M. Moussa, Nemat S. Abdel-Kader, Hesham Farouk, Samia Mashaly

引用次数: 0

Resilient data-driven non-intrusive load monitoring for efficient energy management using machine learning techniques 利用机器学习技术进行弹性数据驱动的非侵入式负载监测，实现高效能源管理

IF 1.9 4区工程技术

EURASIP Journal on Advances in Signal Processing Pub Date : 2024-05-11 DOI: 10.1186/s13634-024-01157-9

Mounica Nutakki, Srihari Mandava

{"title":"Resilient data-driven non-intrusive load monitoring for efficient energy management using machine learning techniques","authors":"Mounica Nutakki, Srihari Mandava","doi":"10.1186/s13634-024-01157-9","DOIUrl":"https://doi.org/10.1186/s13634-024-01157-9","url":null,"abstract":"The integration of smart homes into smart grids presents numerous challenges, particularly in managing energy consumption efficiently. Non-intrusive load management (NILM) has emerged as a viable solution for optimizing energy usage. However, as smart grids incorporate more distributed energy resources, the complexity of demand-side management and energy optimization escalates. Various techniques have been proposed to address these challenges, but the evolving grid necessitates intelligent optimization strategies. This article explores the potential of data-driven NILM (DNILM) by leveraging multiple machine learning algorithms and neural network architectures for appliance state monitoring and predicting future energy consumption. It underscores the significance of intelligent optimization techniques in enhancing prediction accuracy. The article compares several data-driven mechanisms, including decision trees, sequence-to-point models, denoising autoencoders, recurrent neural networks, long short-term memory, and gated recurrent unit models. Furthermore, the article categorizes different forms of NILM and discusses the impact of calibration and load division. A detailed comparative analysis is conducted using evaluation metrics such as root-mean-square error, mean absolute error, and accuracy for each method. The proposed DNILM approach is implemented using Python 3.10.5 on the REDD dataset, demonstrating its effectiveness in addressing the complexities of energy optimization in smart grid environments.","PeriodicalId":11816,"journal":{"name":"EURASIP Journal on Advances in Signal Processing","volume":"2 1","pages":""},"PeriodicalIF":1.9,"publicationDate":"2024-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140932892","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

Simple subspace based adaptive beamforming under Toeplitz covariances 基于托普利兹协方差的简单子空间自适应波束成形

IF 1.9 4区工程技术

EURASIP Journal on Advances in Signal Processing Pub Date : 2024-05-10 DOI: 10.1186/s13634-024-01159-7

Yang-Ho Choi

引用次数: 0