Signal Processing最新文献_第2页

A high-resolution learning imaging method for THz-SAR moving targets based on AF-RPCA-Net 基于AF-RPCA-Net的THz-SAR运动目标高分辨率学习成像方法

IF 3.6 2区工程技术

Signal Processing Pub Date : 2026-06-01 Epub Date: 2026-01-13 DOI: 10.1016/j.sigpro.2026.110499

Xiaoyu Qin, Bin Deng, Hongqiang Wang

{"title":"A high-resolution learning imaging method for THz-SAR moving targets based on AF-RPCA-Net","authors":"Xiaoyu Qin, Bin Deng, Hongqiang Wang","doi":"10.1016/j.sigpro.2026.110499","DOIUrl":"10.1016/j.sigpro.2026.110499","url":null,"abstract":"<div><div>Terahertz-Synthetic Aperture Radar (THz-SAR) offers high frame rates and high resolution, making it particularly suitable for remote sensing applications, like dynamic monitoring of moving targets. However, due to the non-ideal motion of the airborne platform and the non-cooperative motion of targets, this phenomenon causes more severe defocusing compared with microwave band SAR. Traditional SAR imaging methods, if directly applied to image THz-SAR moving targets, often suffer from poor quality and low efficiency. To address this issue, this article proposes a moving target non-parametric learning imaging method based on the Deep Unfolding Network (DUN) framework. Firstly, an autofocusing module is derived based on the maximum imaging contrast and embedded within the Alternating Direction Method of Multipliers (ADMM) iterative solution process to achieve accurate compensation of azimuthal motion errors. Then, we introduce the concept of Robust Principal Component Analysis (RPCA) to achieve sparse recovery imaging of moving targets. Finally, based on the ADMM iterative solution process, we establish an imaging network, named AF-RPCA-Net, efficiently achieving model-data jointly driven moving target background separation and imaging. The proposed method is validated to be effective and efficient through experimental results derived from both simulated and measured data.</div></div>","PeriodicalId":49523,"journal":{"name":"Signal Processing","volume":"243 ","pages":"Article 110499"},"PeriodicalIF":3.6,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145978305","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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

Block decision feedback equalization for OSDM in underwater acoustic communications 水声通信中OSDM的块决策反馈均衡

IF 3.6 2区工程技术

Signal Processing Pub Date : 2026-06-01 Epub Date: 2025-12-25 DOI: 10.1016/j.sigpro.2025.110461

Shengqian Ma, Jing Han, Yujie Wang, Lingling Zhang, Zhuoran Qi, Xiaodong Cui

{"title":"Block decision feedback equalization for OSDM in underwater acoustic communications","authors":"Shengqian Ma, Jing Han, Yujie Wang, Lingling Zhang, Zhuoran Qi, Xiaodong Cui","doi":"10.1016/j.sigpro.2025.110461","DOIUrl":"10.1016/j.sigpro.2025.110461","url":null,"abstract":"<div><div>Orthogonal signal-division multiplexing (OSDM) is a promising modulation scheme that effectively bridges the gap between orthogonal frequency-division multiplexing and single-carrier frequency-domain equalization. However, the time-varying nature of underwater acoustic (UWA) channels leads to inter-vector interference (IVI) in OSDM transmissions. To mitigate the effects of IVI, the complex exponential basis expansion model (CE-BEM) is used to explicitly accommodate Doppler spreads caused by the temporal variations in UWA channels. Based on this, a block decision feedback equalization (BDFE) algorithm is proposed to improve the BER performance of OSDM systems. However, the CE-BEM may occasionally induce significant channel approximation error under certain conditions. To mitigate this limitation, we propose an enhanced BDFE (E-BDFE) algorithm that integrates the minimum band-approximation-error sum-of-exponentials window. Furthermore, by exploiting the unique structure of the OSDM channel matrix, both the BDFE and E-BDFE algorithms achieve computational complexity that is approximately linear in the block length. Simulation results indicate that both algorithms outperform their block linear equalization counterparts, with the E-BDFE achieving superior BER performance compared to the BDFE.</div></div>","PeriodicalId":49523,"journal":{"name":"Signal Processing","volume":"243 ","pages":"Article 110461"},"PeriodicalIF":3.6,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145978304","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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

Robust learning under label noise via logit-based filtering and ranking-aware relabeling 标签噪声下的鲁棒学习，通过基于逻辑的过滤和等级感知的重标注

IF 3.6 2区工程技术

Signal Processing Pub Date : 2026-06-01 Epub Date: 2026-01-08 DOI: 10.1016/j.sigpro.2026.110498

Fanglong Wu , Min Yang , Peng Cheng , Zhisheng You

{"title":"Robust learning under label noise via logit-based filtering and ranking-aware relabeling","authors":"Fanglong Wu , Min Yang , Peng Cheng , Zhisheng You","doi":"10.1016/j.sigpro.2026.110498","DOIUrl":"10.1016/j.sigpro.2026.110498","url":null,"abstract":"<div><div>Label noise poses a significant challenge in supervised learning tasks such as image classification and face recognition, often steering models away from their optimal learning trajectory. To reduce the adverse impact of noisy annotations while effectively leveraging available training data, we propose a robust learning framework that exploits logit space distributions for noise identification, ranking-guided relabeling of closed-set noise, and noise-aware optimization. The key insight behind our approach is that clean non-target samples and noisy target-class samples that have not yet been memorized by the network tend to exhibit similar logit distribution patterns. Based on this observation, we design adaptive, class-specific decision boundaries for blind noise detection. For closed-set noise, we compute the margin between the top two logits from non-target classes as a confidence score and incorporate historical ranking statistics. A pseudo-label is assigned when either the logit margin or the historical average rank of the top-1 class satisfies predefined criteria. Finally, clean and relabeled samples are trained with different regularization strengths to improve robustness. Extensive experiments on three synthetic and four real-world noisy datasets, covering image classification and face recognition tasks, demonstrate the effectiveness and generality of the proposed method.</div></div>","PeriodicalId":49523,"journal":{"name":"Signal Processing","volume":"243 ","pages":"Article 110498"},"PeriodicalIF":3.6,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145978517","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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

Robust beamforming for MIMO-RIS systems with hardware impairments 具有硬件缺陷的MIMO-RIS系统的鲁棒波束形成

IF 3.6 2区工程技术

Signal Processing Pub Date : 2026-06-01 Epub Date: 2025-12-25 DOI: 10.1016/j.sigpro.2025.110460

Kunze Wu , Zhengyi Zhang , Jingya Ren, Chenglin Wang, Shiyong Chen, Weiheng Jiang

{"title":"Robust beamforming for MIMO-RIS systems with hardware impairments","authors":"Kunze Wu , Zhengyi Zhang , Jingya Ren, Chenglin Wang, Shiyong Chen, Weiheng Jiang","doi":"10.1016/j.sigpro.2025.110460","DOIUrl":"10.1016/j.sigpro.2025.110460","url":null,"abstract":"<div><div>This paper presents a robust beamforming framework for multiple-input multiple-output (MIMO) systems enhanced by reconfigurable intelligent surfaces (RIS), accounting for practical hardware impairments. The system model incorporates key non-idealities, including low-resolution analog-to-digital converters (ADCs) and hybrid radio frequency (RF) chains affected by distortion. The central objective is to minimize the user-side transmit power through joint optimization of the analog and digital combiners, the RIS reffection coefffcients, and the transmit power level itself. Due to the high dimensionality and inherent nonconvexity of the formulated problem, we employ an alternating optimization (AO) scheme to partition the variables and simplify the solution process. Fractional programming (FP) is applied to derive closed-form expressions for the auxiliary variables, while the digital combiner is obtained using the Lagrangian multiplier technique. To address the optimization of the analog combiner and RIS conffguration, we further introduce the penalty dual decomposition (PDD) method. Simulation results confirm that the proposed design significantly outperforms baseline methods in reducing transmit power, even in the presence of hardware degradation. Moreover, the proposed algorithm exhibits rapid convergence and scalability across varying system conffgurations.</div></div>","PeriodicalId":49523,"journal":{"name":"Signal Processing","volume":"243 ","pages":"Article 110460"},"PeriodicalIF":3.6,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145885931","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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

Activity-dependent resolution adjustment for radar-based human activity recognition 基于雷达的人类活动识别的活动相关分辨率调整

IF 3.6 2区工程技术

Signal Processing Pub Date : 2026-06-01 Epub Date: 2025-12-21 DOI: 10.1016/j.sigpro.2025.110456

Do-Hyun Park, Min-Wook Jeon, Hyoung-Nam Kim

引用次数: 0

An information geometry interpretation for approximate message passing 近似消息传递的信息几何解释

IF 3.6 2区工程技术

Signal Processing Pub Date : 2026-06-01 Epub Date: 2025-12-23 DOI: 10.1016/j.sigpro.2025.110462

Bingyan Liu , An-An Lu , Mingrui Fan , Jiyuan Yang , Xiqi Gao

引用次数: 0

Adaptive regularization parameter adjustment for total variation denoising 全变差去噪的自适应正则化参数调整

IF 3.6 2区工程技术

Signal Processing Pub Date : 2026-06-01 Epub Date: 2026-01-08 DOI: 10.1016/j.sigpro.2026.110494

Donghao Lv , Tianshun Li , Peihong Yang , Chao Zhang , Jianjun Li

引用次数: 0

DEANet : Adaptive RGB-T salient object detection with two-dimensional entropy-guided dual-domain feature interaction 基于二维熵导双域特征交互的自适应RGB-T显著目标检测

IF 3.6 2区工程技术

Signal Processing Pub Date : 2026-06-01 Epub Date: 2026-01-09 DOI: 10.1016/j.sigpro.2026.110489

Zerui Zhu , Dongmei Liu , Huaxiang Zhang , Li Liu , Fengfei Jin

{"title":"DEANet : Adaptive RGB-T salient object detection with two-dimensional entropy-guided dual-domain feature interaction","authors":"Zerui Zhu , Dongmei Liu , Huaxiang Zhang , Li Liu , Fengfei Jin","doi":"10.1016/j.sigpro.2026.110489","DOIUrl":"10.1016/j.sigpro.2026.110489","url":null,"abstract":"<div><div>RGB-T salient object detection (RGB-T SOD) aims to accurately localize salient objects by integrating complementary cues from RGB and thermal images, yet existing methods often overlook critical frequency-domain information. Our frequency-domain analysis reveals modality inconsistencies in salient regions, highlighting the need for adaptive modality evaluation. To address this issue, we propose a two-dimensional information entropy-based weighting strategy that quantifies structural complexity and adaptively guides modality contribution. Building upon this strategy, we develop the Dual-Domain Entropy-Aware Network (DEANet), which incorporates a Progressive Dual-domain Fusion and Refinement (PDFR) design-a coherent two-stage progressive mechanism. Stage 1 performs entropy-guided spatial-frequency interaction to generate high-quality fused features, while Stage 2 leverages these fused features to enhance original modality representations and refine saliency through spatial-channel perception. This progressive dual-domain formulation enables robust multimodal fusion and more accurate saliency estimation under diverse imaging conditions. Extensive experiments on three public benchmarks demonstrate that DEANet consistently surpasses 17 state-of-the-art methods across multiple evaluation metrics.</div></div>","PeriodicalId":49523,"journal":{"name":"Signal Processing","volume":"243 ","pages":"Article 110489"},"PeriodicalIF":3.6,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145978346","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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

Optimal design of stable allpass variable fractional delay filters using matrix-based algorithms 基于矩阵算法的稳定全通可变分数阶延迟滤波器优化设计

IF 3.6 2区工程技术

Signal Processing Pub Date : 2026-06-01 Epub Date: 2026-01-08 DOI: 10.1016/j.sigpro.2026.110496

Ruijie Zhao , Chunlu Lai

{"title":"Optimal design of stable allpass variable fractional delay filters using matrix-based algorithms","authors":"Ruijie Zhao , Chunlu Lai","doi":"10.1016/j.sigpro.2026.110496","DOIUrl":"10.1016/j.sigpro.2026.110496","url":null,"abstract":"<div><div>The optimal designs of allpass variable fractional delay (VFD) filters based on phase response approximation are investigated. The weighted least squares (WLS) design that allows for arbitrary nonnegative weighting functions is formulated in matrix form, and the optimality condition is then derived as a matrix equation. Two efficient algorithms that are derived from the conjugate gradient (CG) technique are proposed to solve the WLS problem. Subsequently, an iterative reweighted least squares (IRLS) algorithm is developed for the minimax design problem, which converts the original problem into a series of WLS subproblems and solves them successively using the proposed WLS algorithms. A transformation method using Chebyshev polynomials is presented to circumvent numerical problems in calculation. The filter coefficients are arranged as matrices, achieving significant computation and memory space savings. The associated computational complexity is evaluated. Moreover, by introducing a delay shift parameter in the desired response, design accuracy can be improved significantly. The stability of allpass VFD filters is analyzed, and stability conditions based on the delay shift parameter and phase error are established. Comparisons with existing methods are provided to show the efficiency and effectiveness of the proposed algorithms.</div></div>","PeriodicalId":49523,"journal":{"name":"Signal Processing","volume":"243 ","pages":"Article 110496"},"PeriodicalIF":3.6,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145978343","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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 low-latency FIR filter design based on maximum correntropy criterion: Design and performance evaluation 基于最大熵准则的低延迟FIR滤波器设计：设计与性能评估

IF 3.6 2区工程技术

Signal Processing Pub Date : 2026-06-01 Epub Date: 2026-01-14 DOI: 10.1016/j.sigpro.2026.110502

Yifei Wang , Kai-Li Yin , Xiaohong Yin , Chenggang Li , Lu Lu

{"title":"A low-latency FIR filter design based on maximum correntropy criterion: Design and performance evaluation","authors":"Yifei Wang , Kai-Li Yin , Xiaohong Yin , Chenggang Li , Lu Lu","doi":"10.1016/j.sigpro.2026.110502","DOIUrl":"10.1016/j.sigpro.2026.110502","url":null,"abstract":"<div><div>Traditional Finite Impulse Response (FIR) structures suffer from high latency, making it difficult to operate efficiently at high frequencies. To address this issue, this paper presents a novel Non-Canonical FIR Maximum Correntropy Criterion (NCMCC) adaptive filtering algorithm. The non-canonical FIR structure optimizes the critical processing path latency by rearranging the delay units and reversing the weight coefficient sequence, thus enabling higher-frequency operation. By integrating the MCC algorithm, the proposed method enhances robustness against non-Gaussian and impulsive noise. A detailed theoretical analysis, including stochastic differential equation modeling and Lyapunov stability assessment, confirms the convergence and steady-state performance of the algorithm. Simulation results demonstrate that NCMCC outperforms conventional approaches such as Least Mean Square (LMS) algorithm, Least Mean <em>p</em>-th Power (LMP) algorithm and Sign Algorithm (SA) algorithm in terms of convergence speed, noise resilience, and steady-state error; Under various complex environments, the proposed algorithm demonstrates significantly improved performance compared to the MCC algorithm. These results establish NCMCC as an efficient and robust solution for real-time signal processing in complex and noisy environments.</div></div>","PeriodicalId":49523,"journal":{"name":"Signal Processing","volume":"243 ","pages":"Article 110502"},"PeriodicalIF":3.6,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146037938","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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