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Reverberant environment embedding using dereverberation autoencoder
IF 0.7 4区 工程技术
Electronics Letters Pub Date : 2025-01-04 DOI: 10.1049/ell2.70134
Sunchan Park, Hyung Soon Kim
{"title":"Reverberant environment embedding using dereverberation autoencoder","authors":"Sunchan Park,&nbsp;Hyung Soon Kim","doi":"10.1049/ell2.70134","DOIUrl":"https://doi.org/10.1049/ell2.70134","url":null,"abstract":"<p>Reverberation is a factor that degrades the performance of automatic speech recognition. Linear prediction-based algorithms remove reverberations with iterative computations for each target environment based on physical modeling. Dereverberation autoencoders map reverberant speech to clean speech using pre-trained deep neural networks without iterative prediction during inference. Two methods were combined to design a neural network architecture for dereverberation. To improve reverberant speech recognition performance with low computational complexity, a method is proposed to extract environmental embedding named DA-embedding instead of applying dereverberation to the input of an acoustic model. The experimental results on the REVERB Challenge and VOiCES datasets show that DA-embedding improves reverberant speech recognition performance with low computational complexity.</p>","PeriodicalId":11556,"journal":{"name":"Electronics Letters","volume":"61 1","pages":""},"PeriodicalIF":0.7,"publicationDate":"2025-01-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/ell2.70134","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143111856","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Zero-shot moving ship segmentation based on segment anything network and optical flow network
IF 0.7 4区 工程技术
Electronics Letters Pub Date : 2025-01-04 DOI: 10.1049/ell2.70136
Wenhui Liu, Yulong Qiao, Zhengyi Xing, Yue Zhao
{"title":"Zero-shot moving ship segmentation based on segment anything network and optical flow network","authors":"Wenhui Liu,&nbsp;Yulong Qiao,&nbsp;Zhengyi Xing,&nbsp;Yue Zhao","doi":"10.1049/ell2.70136","DOIUrl":"https://doi.org/10.1049/ell2.70136","url":null,"abstract":"<p>The wake of the ship and the waves on the water surface increased the difficulty of video-based ship segmentation. To address this challenging problem, we propose a zero-shot segmentation method based on the segment anything model (SAM) and optical flow network. Specifically, the dark channel filtering technology is employed as a preprocessing step to partly eliminate the noise from the sea surface. Then, the SAM with the point prompt is utilized to detect and segment ship targets in conjunction with finding the best mask algorithms, in which a supervision mechanism is introduced to determine the ship moving in or out of the surveillance region. Finally, we use the optical flow network to predict the position of the ship target and leverage the segmentation by using the network SAM with bounding boxes as prompts. The experiments on the benchmark dataset IPATCH demonstrate the performance of the proposed zero-shot moving ship segmentation method.</p>","PeriodicalId":11556,"journal":{"name":"Electronics Letters","volume":"61 1","pages":""},"PeriodicalIF":0.7,"publicationDate":"2025-01-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/ell2.70136","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143111598","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Optimization of a two-color reuse scheme in multi-beam high throughput satellite systems
IF 0.7 4区 工程技术
Electronics Letters Pub Date : 2025-01-03 DOI: 10.1049/ell2.70131
Weidong Shao, Shenghua Zhai, Tengfei Hui, Xin-Gang Zhang, Jiahong Li
{"title":"Optimization of a two-color reuse scheme in multi-beam high throughput satellite systems","authors":"Weidong Shao,&nbsp;Shenghua Zhai,&nbsp;Tengfei Hui,&nbsp;Xin-Gang Zhang,&nbsp;Jiahong Li","doi":"10.1049/ell2.70131","DOIUrl":"https://doi.org/10.1049/ell2.70131","url":null,"abstract":"<p>In this letter, we propose a two-color reuse scheme in the forward link of multi-beam high throughput satellite systems, where dual-polarization is utilized to provide an additional dimension to isolate severe inter-beam interference. This scheme is optimized through formulating a nonconvex optimization problem with respect to precoding design to maximize system sum rate, taking into account the intense interference among beams using the same polarization. Then a path-following algorithm is proposed for its solution. Afterwards, we further seek a low-complexity precoding design and simplify the original precoding optimization problem into a power allocation one, whose problem is still non-convex and a quadratic transform algorithm is proposed to achieve its near-optimum. Extensive simulations verify that the proposed scheme exhibits improved sum rate, compared to that of the current single polarization full frequency reuse and four-color frequency reuse ones.</p>","PeriodicalId":11556,"journal":{"name":"Electronics Letters","volume":"61 1","pages":""},"PeriodicalIF":0.7,"publicationDate":"2025-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/ell2.70131","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143111113","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Federated learning for optimized resource allocation in power line communication systems
IF 0.7 4区 工程技术
Electronics Letters Pub Date : 2025-01-02 DOI: 10.1049/ell2.70115
Ruowen Yan, Qiao Li, Huagang Xiong
{"title":"Federated learning for optimized resource allocation in power line communication systems","authors":"Ruowen Yan,&nbsp;Qiao Li,&nbsp;Huagang Xiong","doi":"10.1049/ell2.70115","DOIUrl":"https://doi.org/10.1049/ell2.70115","url":null,"abstract":"<p>This paper introduces the Priority-Aware Federated Resource Allocation (PAFRA) algorithm, a novel resource allocation strategy designed for power line communication (PLC) systems. Leveraging a federated learning framework, PAFRA optimizes the distribution of limited spectrum resources across multiple nodes within a residential environment. The algorithm integrates a priority-based time slot allocation to effectively manage subchannel conflicts and employs a Double Deep Q-Network for local training at each node. This training modality includes comprehensive state, action, and reward configurations to fine-tune transmission power and subchannel selections. Extensive simulations reveal that PAFRA substantially enhances system throughput, outperforming both traditional numerical optimization methods and contemporary machine learning approaches. Specifically, at a signal-to-noise ratio of 30 dB, PAFRA achieves a system throughput of approximately 950 Mbps, marking a 23% improvement over existing approaches. These findings highlight PAFRA's ability to significantly enhance network efficiency while complying with regulatory emission standards, demonstrating its potential to optimize dynamic PLC systems.</p>","PeriodicalId":11556,"journal":{"name":"Electronics Letters","volume":"61 1","pages":""},"PeriodicalIF":0.7,"publicationDate":"2025-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/ell2.70115","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143110910","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A fast CU partition algorithm of ERP 360-degree video based on deep learning
IF 0.7 4区 工程技术
Electronics Letters Pub Date : 2025-01-02 DOI: 10.1049/ell2.70129
Hai Xiang, Fen Chen, Zongju Peng, Lian Huang
{"title":"A fast CU partition algorithm of ERP 360-degree video based on deep learning","authors":"Hai Xiang,&nbsp;Fen Chen,&nbsp;Zongju Peng,&nbsp;Lian Huang","doi":"10.1049/ell2.70129","DOIUrl":"https://doi.org/10.1049/ell2.70129","url":null,"abstract":"<p>This article proposes a deep-learning-based fast coding unit (CU) partition algorithm to reduce encoding time of equirectangular projection (ERP) 360-degree videos in versatile video coding. First, an ERP 360-degree dataset with ERP latitude characteristics and quantitative parameter characteristics is established. Then, a lightweight prediction partition convolutional neural network is designed to predict the partition probability of 4<span></span><math>\u0000 <semantics>\u0000 <mo>×</mo>\u0000 <annotation>$times$</annotation>\u0000 </semantics></math>4 CU edges in 32<span></span><math>\u0000 <semantics>\u0000 <mo>×</mo>\u0000 <annotation>$times$</annotation>\u0000 </semantics></math>32 luminance CU. Finally, an intra prediction decision-making scheme is developed to reduce the number of candidate modes of CUs with size equal to or smaller than 32<span></span><math>\u0000 <semantics>\u0000 <mo>×</mo>\u0000 <annotation>$times$</annotation>\u0000 </semantics></math>32, thereby achieving fast encoding. Experimental results show that the proposed method saves 58.51% of encoding time in All Intra configuration and only increases Bjontegaard delta bit-rate by 1.39%.</p>","PeriodicalId":11556,"journal":{"name":"Electronics Letters","volume":"61 1","pages":""},"PeriodicalIF":0.7,"publicationDate":"2025-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/ell2.70129","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143110911","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Interference mitigation method for LEO satellites with optimal dynamic switching array elements in co-frequency beams
IF 0.7 4区 工程技术
Electronics Letters Pub Date : 2024-12-23 DOI: 10.1049/ell2.70128
Haiwang Wang, Chenguang Huang, Cheng Zou, Fengwei Shao, Guotong Li
{"title":"Interference mitigation method for LEO satellites with optimal dynamic switching array elements in co-frequency beams","authors":"Haiwang Wang,&nbsp;Chenguang Huang,&nbsp;Cheng Zou,&nbsp;Fengwei Shao,&nbsp;Guotong Li","doi":"10.1049/ell2.70128","DOIUrl":"https://doi.org/10.1049/ell2.70128","url":null,"abstract":"<p>Satellite communication has rapidly advanced, from navigation to broadband Internet and direct mobile connectivity. Driven by low Earth orbit satellites, these networks are merging with terrestrial mobile networks, forming integrated space–air–ground systems. However, the growing scale of satellite constellations has intensified intra-system interference, particularly among ground cells utilizing co-frequency beams. A mitigation method based on switching array elements is proposed, optimizing their state by considering beamwidth and maximum sidelobe level. Simulations show that the proposed algorithm effectively reduces beam coverage widening and sidelobes, mitigating the interference between co-frequency beams.</p>","PeriodicalId":11556,"journal":{"name":"Electronics Letters","volume":"60 24","pages":""},"PeriodicalIF":0.7,"publicationDate":"2024-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/ell2.70128","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143118594","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Accelerated decoding method in fractal image coding
IF 0.7 4区 工程技术
Electronics Letters Pub Date : 2024-12-23 DOI: 10.1049/ell2.70120
Qiang Wang
{"title":"Accelerated decoding method in fractal image coding","authors":"Qiang Wang","doi":"10.1049/ell2.70120","DOIUrl":"https://doi.org/10.1049/ell2.70120","url":null,"abstract":"<p>To accelerate the fractal decoding process, a minimum domain block set (MDBS)-based fast fractal decoding method is proposed here. In fractal encoding process, it is found that there exists a MDBS which can provide the best-matched domain blocks for all range blocks. In the decoding process, MDBS is first identified before the first iteration. Then, only the range blocks inside MDBS are reconstructed in each of the first to penultimate iterations, and the computations of reconstructing the remaining range blocks outside MDBS can be saved to speedup the decoding process. Finally, all range blocks are reconstructed to obtain the decoded image in the last iteration. Experimental results show that about 5%–17% of total computations in decoding process can be saved.</p>","PeriodicalId":11556,"journal":{"name":"Electronics Letters","volume":"60 24","pages":""},"PeriodicalIF":0.7,"publicationDate":"2024-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/ell2.70120","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143118106","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Beam downtilt reconfigurable linear antenna array for 5G/6G macro base stations
IF 0.7 4区 工程技术
Electronics Letters Pub Date : 2024-12-23 DOI: 10.1049/ell2.70112
Li Chen, Weiyang Liu, Huawei Lin, Yue Zhao, Lei Ge
{"title":"Beam downtilt reconfigurable linear antenna array for 5G/6G macro base stations","authors":"Li Chen,&nbsp;Weiyang Liu,&nbsp;Huawei Lin,&nbsp;Yue Zhao,&nbsp;Lei Ge","doi":"10.1049/ell2.70112","DOIUrl":"https://doi.org/10.1049/ell2.70112","url":null,"abstract":"<p>In this letter, a beam downtilt reconfigurable linear antenna array is presented for the demand of the electrical downtilt of 5G/6G macro base station antennas. The antenna is capable of fine-angle beam direction reconfiguration, allowing for improved adaptability in various environmental conditions. A hierarchical network design is employed, which incorporates essential elements such as phase shifter modules, power dividers, and couplers. These fundamental components are used to construct a five-element reconfigurable feeding network for the antenna array. The designed network ensures stable phase shifts and excellent impedance matching performance. By integrating the feeding network with the antenna elements, the system achieves electronic beam tilt adjustment across four states, enabling the linear array to tilt downward within a range of 6–12° around 3.5 GHz. This design provides enhanced beam control, making it suitable for next-generation macro base station applications in 5G and 6G networks.</p>","PeriodicalId":11556,"journal":{"name":"Electronics Letters","volume":"60 24","pages":""},"PeriodicalIF":0.7,"publicationDate":"2024-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/ell2.70112","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143118593","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
An innovative semantically guided SAR imaging and target enhancement method
IF 0.7 4区 工程技术
Electronics Letters Pub Date : 2024-12-22 DOI: 10.1049/ell2.70123
Guoru Zhou, Zhe Zhang, Bingchen Zhang, Yirong Wu
{"title":"An innovative semantically guided SAR imaging and target enhancement method","authors":"Guoru Zhou,&nbsp;Zhe Zhang,&nbsp;Bingchen Zhang,&nbsp;Yirong Wu","doi":"10.1049/ell2.70123","DOIUrl":"https://doi.org/10.1049/ell2.70123","url":null,"abstract":"<p>Conventional sparse synthetic aperture radar (SAR) imaging methods apply regularisation to constrain scene priors. However, these methods often neglect specific target regions, resulting in undifferentiated imaging. This letter introduces a novel network for sparse SAR imaging and target region enhancement, using target segmentation semantic information to integrate a modified attention mechanism into the image formation process. The complex-valued convolution is used to handle SAR's complex-valued data. Additionally, SAR imaging operator and its inverse operator accelerate echo processing. Experiments show improvements in the target–background ratio (TBR) and overall reconstruction quality across various downsampling scenarios.</p>","PeriodicalId":11556,"journal":{"name":"Electronics Letters","volume":"60 24","pages":""},"PeriodicalIF":0.7,"publicationDate":"2024-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/ell2.70123","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143117999","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A CNN-transformer-based unsupervised aware hierarchical network for medical image registration
IF 0.7 4区 工程技术
Electronics Letters Pub Date : 2024-12-22 DOI: 10.1049/ell2.70124
Bo Fang, Lisheng Wang
{"title":"A CNN-transformer-based unsupervised aware hierarchical network for medical image registration","authors":"Bo Fang,&nbsp;Lisheng Wang","doi":"10.1049/ell2.70124","DOIUrl":"https://doi.org/10.1049/ell2.70124","url":null,"abstract":"<p>Medical image registration is a fundamental and important technique in the field of medical image analysis. This study proposes a novel unsupervised end-to-end registration network, aiming to enable the model to actively acquire image features in the field of medical imaging with limited samples, which efficiently integrates multi-scale features to achieve higher accuracy in registration. By utilizing region-to-region routing, this model actively preserves the most relevant features of the images, thereby improving training and learning efficiency. The model is evaluated by several publicly available datasets. The new network proposed in this study achieved the best registration accuracy among various advanced traditional and learning-based methods.</p>","PeriodicalId":11556,"journal":{"name":"Electronics Letters","volume":"60 24","pages":""},"PeriodicalIF":0.7,"publicationDate":"2024-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/ell2.70124","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143118002","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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