{"title":"Forward jamming mitigation using partially occupied DDMA-MIMO waveform","authors":"Xuan Fang, Dehua Zhao, Liang Zhang","doi":"10.1049/ell2.70169","DOIUrl":"https://doi.org/10.1049/ell2.70169","url":null,"abstract":"<p>This letter proposes a novel approach to suppress forward jamming from mainlobe using partially occupied Doppler division multiple access (DDMA) waveforms. The partially occupied DDMA mode indicates that the radar only transmits waveforms through part of the orthogonal Doppler channels. It is proved that the forward jamming yields a fake Doppler component in the blank Doppler channel, if the jammer works in saturation. Leveraging this feature, a jamming mitigation method in slow time is proposed and conduct numerical experiments to validate our method.</p>","PeriodicalId":11556,"journal":{"name":"Electronics Letters","volume":"61 1","pages":""},"PeriodicalIF":0.7,"publicationDate":"2025-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/ell2.70169","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143475824","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}
Paula Remigio-Carmona, Olivia Florencias-Oliveros, Juan-José González-de-la-Rosa
{"title":"Categorization Method of Power Supply Quality Events Using Rule-Based Decision Trees, Combining Traditional Indices With Higher-Order Statistics","authors":"Paula Remigio-Carmona, Olivia Florencias-Oliveros, Juan-José González-de-la-Rosa","doi":"10.1049/ell2.70189","DOIUrl":"https://doi.org/10.1049/ell2.70189","url":null,"abstract":"<p>This letter presents a novel method for power quality event detection using higher-order statistical indicators and rule-based decision trees. The method achieves up to 90% efficiency in the most challenging cases and excels in hybrid event classification, increasingly common in modern grids. Its simplicity enables fast execution and real-time applicability, making it a robust complement to traditional visualization tools.</p>","PeriodicalId":11556,"journal":{"name":"Electronics Letters","volume":"61 1","pages":""},"PeriodicalIF":0.7,"publicationDate":"2025-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/ell2.70189","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143466284","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}
Fernando Andres Benavides, Carlos Alberto Trujillo Solarte
{"title":"A Note of Non-Existence of Strongly Regular and Deza Graphs","authors":"Fernando Andres Benavides, Carlos Alberto Trujillo Solarte","doi":"10.1049/ell2.70179","DOIUrl":"https://doi.org/10.1049/ell2.70179","url":null,"abstract":"<p>In this letter, we prove that strongly regular graphs and Deza digraphs do not exist with parameters <span></span><math>\u0000 <semantics>\u0000 <mrow>\u0000 <mo>(</mo>\u0000 <msup>\u0000 <mi>p</mi>\u0000 <mi>m</mi>\u0000 </msup>\u0000 <mo>,</mo>\u0000 <mi>k</mi>\u0000 <mo>,</mo>\u0000 <msup>\u0000 <mn>2</mn>\u0000 <mi>m</mi>\u0000 </msup>\u0000 <mo>,</mo>\u0000 <msup>\u0000 <mn>2</mn>\u0000 <mi>m</mi>\u0000 </msup>\u0000 <mo>)</mo>\u0000 </mrow>\u0000 <annotation>$(p^m,k,2^m,2^m)$</annotation>\u0000 </semantics></math> where <span></span><math>\u0000 <semantics>\u0000 <mrow>\u0000 <mi>m</mi>\u0000 <mo>=</mo>\u0000 <mn>3</mn>\u0000 <mo>,</mo>\u0000 <mn>4</mn>\u0000 </mrow>\u0000 <annotation>$m=3,4$</annotation>\u0000 </semantics></math>. As a consequence, we provide many parameters for which there is no a difference set.</p>","PeriodicalId":11556,"journal":{"name":"Electronics Letters","volume":"61 1","pages":""},"PeriodicalIF":0.7,"publicationDate":"2025-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/ell2.70179","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143471980","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}
Wenhui Wang, Ye Xu, Kejie Zhang, YouPeng Sun, Peng Li
{"title":"A GGIW PMBM Smoother for Multiple Extended Object Tracking","authors":"Wenhui Wang, Ye Xu, Kejie Zhang, YouPeng Sun, Peng Li","doi":"10.1049/ell2.70188","DOIUrl":"https://doi.org/10.1049/ell2.70188","url":null,"abstract":"<p>Poisson multi-Bernoulli mixture (PMBM) filtering is an effective method for multi-extended target tracking. However, it has a low utilization of information from multiple time scans, leading to potential errors such as jumps and discontinuities in the target trajectories. To address this, propose a gamma Gaussian inverse Wishart PMBM filter that uses multiple time scans for smoothing. The results of continuous tracking are smoothed and corrected at regular intervals, resulting in more accurate tracking performance. Simulation results show that the proposed algorithm effectively reduces generalized optimal sub-pattern assignment errors compared to the original PMBM filter.</p>","PeriodicalId":11556,"journal":{"name":"Electronics Letters","volume":"61 1","pages":""},"PeriodicalIF":0.7,"publicationDate":"2025-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/ell2.70188","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143466283","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}
{"title":"Enhanced Segment Anything Model for Accurate White Blood Cell Segmentation","authors":"Yu Zang, Yang Su, Jun Hu","doi":"10.1049/ell2.70185","DOIUrl":"https://doi.org/10.1049/ell2.70185","url":null,"abstract":"<p>White blood cell image segmentation plays a vital role in the accurate analysis and diagnosis of blood-related diseases, facilitating the identification and quantification of white blood cells (WBCs) in microscopic images. This process is essential for early disease detection, treatment monitoring, and immune response studies, ultimately supporting clinical decision-making. In this paper, we propose an enhanced approach based on the segment anything model (SAM). First, contrast limited adaptive histogram equalisation is applied for preprocessing to enhance the features of WBCs. Then, SAM is utilised for segmentation. Experimental results demonstrate that our method achieves state-of-the-art performance on cross-domain datasets, providing accurate and reliable segmentation of WBCs.</p>","PeriodicalId":11556,"journal":{"name":"Electronics Letters","volume":"61 1","pages":""},"PeriodicalIF":0.7,"publicationDate":"2025-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/ell2.70185","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143455995","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}
Zhiwei Lin, Yubin Qin, Jiachen Wang, Yang Wang, Huanyu Wang, Zhe Zheng, Wenpeng Cui, Shaojun Wei, Yang Hu, Shouyi Yin
{"title":"BLADE: Energy-efficient attention accelerator with fused kernel and bit-level redundancy elimination","authors":"Zhiwei Lin, Yubin Qin, Jiachen Wang, Yang Wang, Huanyu Wang, Zhe Zheng, Wenpeng Cui, Shaojun Wei, Yang Hu, Shouyi Yin","doi":"10.1049/ell2.70137","DOIUrl":"https://doi.org/10.1049/ell2.70137","url":null,"abstract":"<p>Attention-based transformer model has achieved remarkable performance in various artificial intelligence fields, while the attention computation, being a combination of matrix multiplication and softmax function, is still sub-optimized in terms of hardware implementation. Normally, it needs 3 pass of input memory access to compute attention, and the on-chip storage requirement is coupled with the input length, both of which pose significant memory issues. Further, the computation burden is heavy for long inputs. This paper proposes an algorithm-hardware co-design for attention. On algorithm side, it uses a linear-softmax fused kernel to fuse the matrix multiplication and non-linear functions, which enables high on-chip memory source utilization. On hardware side, it shows an accelerator named BLADE with identical partial product removing, which eliminates unnecessary computation by exploiting math feature of softmax. Experiment on ViT, Swin transformer, GPT-2, and LLaMA2 show that the proposed design achieves <span></span><math>\u0000 <semantics>\u0000 <mrow>\u0000 <mn>10.6</mn>\u0000 </mrow>\u0000 <annotation>$10.6$</annotation>\u0000 </semantics></math>–<span></span><math>\u0000 <semantics>\u0000 <mrow>\u0000 <mn>18.7</mn>\u0000 <mo>%</mo>\u0000 </mrow>\u0000 <annotation>$18.7%$</annotation>\u0000 </semantics></math> of energy efficiency improvement compared to state-of-the-art FlashAttention implementations.</p>","PeriodicalId":11556,"journal":{"name":"Electronics Letters","volume":"61 1","pages":""},"PeriodicalIF":0.7,"publicationDate":"2025-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/ell2.70137","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143447038","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}
{"title":"LET-NLM-Decoder: A WFST-based asynchronous lazy-evaluation token-group decoder for first-pass neural language model decoding","authors":"Fangyi Li, Hang Lv, Yiming Wang, Lei Xie","doi":"10.1049/ell2.70145","DOIUrl":"https://doi.org/10.1049/ell2.70145","url":null,"abstract":"<p>Neural language models (NLMs) have been shown to outperform n-gram language models in automatic speech recognition (ASR) tasks. NLMs are usually used in the second-pass lattice rescoring rather than the first-pass decoding, since its encoded infinite history virtually cannot be compiled into static decoding graphs. However, the modeling power of NLMs is not fully leveraged due to the constraints imposed by the lattice, leading to accuracy loss. To improve this, on-the-fly composition decoders were proposed to utilize NLMs in first-pass decoding with increased computational cost. In this paper, an asynchronous lazy-evaluation token-group decoder with exact lattice generation is proposed to reduce the computational cost of the on-the-fly composition decoder, achieving significant decoding speedup. More specifically, having a novel token-group with a representative element data structure, the proposed decoder performs lazy-evaluation which expands the tokens until a word boundary is reached. Furthermore, based on the score of the representative element in a token-group, the decoder prunes unpromising tokens by an A* algorithm. The experiments show that the proposed decoder can accelerate the vanilla on-the-fly composition decoder by up to 6.9 times, and get paths with even better average likelihoods than lattice rescoring approaches.</p>","PeriodicalId":11556,"journal":{"name":"Electronics Letters","volume":"61 1","pages":""},"PeriodicalIF":0.7,"publicationDate":"2025-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/ell2.70145","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143447010","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}
{"title":"Time-Based Wireless Synchronous Detection of Bioimpedance Signals","authors":"Virgilio Valente, Hanieh Ashrafirad","doi":"10.1049/ell2.70181","DOIUrl":"https://doi.org/10.1049/ell2.70181","url":null,"abstract":"<p>This letter presents a novel time-based scheme for wireless measurement of bioimpedance. Conventional circuits measure impedance in the analogue or digital domain, incurring in high power and area consumption resulting from either the use of analogue multipliers and high-order filters, or high-speed ADCs. Wireless transmission of impedance bits further results in a power penalty. Time domain solution offer a unique advantage both in terms of power consumption and technology scalability. Here we present a system that combines a pulse-width modulation–pulse position modulation readout with a pulse-harmonic modulation wireless link for power efficient transmission of impedance data. The paper presents a system-level description of the wireless readout architecture and its operation simulated in MATLAB/SIMULINK and LTSpice. The work presented here can provide the foundation for the design of novel time-based energy-efficient wireless impedance analysers.</p>","PeriodicalId":11556,"journal":{"name":"Electronics Letters","volume":"61 1","pages":""},"PeriodicalIF":0.7,"publicationDate":"2025-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/ell2.70181","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143446807","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}
Xiaozheng Deng, Yuanyuan Zhang, Shasha Mao, Peng Liu
{"title":"Non-Linearity Incremental Ensemble Learning Based Depth Explorations of Latent Individual Contributions","authors":"Xiaozheng Deng, Yuanyuan Zhang, Shasha Mao, Peng Liu","doi":"10.1049/ell2.70178","DOIUrl":"https://doi.org/10.1049/ell2.70178","url":null,"abstract":"<p>In ensemble learning, individual accuracy and diversities are two key factors for improving the ensemble performance, and most existing methods have been designed from the view of boosting individual diversities. Whereas stronger individual diversities inevitably result in decreasing accuracies of partial individuals, it brings a great challenge for improving the ensemble performance. In fact, we observe that the contribution of individuals should be a crucial factor for ensemble learning, which can effectively alleviate the problem of balancing diversity and accuracy, but it is ignored in most existing studies. Based on this, we propose a new incremental non-linearity deep ensemble learning method that effectively combines multiple individuals based on the exploration of individual contributions by utilizing deep learning. In the proposed method, a characterization matrix is first constructed to represent the original individuals. Then, a deep ensemble network is constructed to explore the potential contribution of individuals in conjunction with the optimization objective of ensemble learning. Interestingly, a special layer is designed to achieve the minimization of ensemble error. Finally, experimental results on public datasets illustrate that the proposed method achieves the average 0.66–4.8% performance improvements compared to existing typical ensemble methods.</p>","PeriodicalId":11556,"journal":{"name":"Electronics Letters","volume":"61 1","pages":""},"PeriodicalIF":0.7,"publicationDate":"2025-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/ell2.70178","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143438737","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}
Zhizhi Chen, Qian Wang, Houpeng Chen, Xi Li, Xiaogang Chen, Sannian Song, Zhitang Song
{"title":"Research and Improvement of Muller C Element","authors":"Zhizhi Chen, Qian Wang, Houpeng Chen, Xi Li, Xiaogang Chen, Sannian Song, Zhitang Song","doi":"10.1049/ell2.70184","DOIUrl":"https://doi.org/10.1049/ell2.70184","url":null,"abstract":"<p>The basic structure of conventional Muller C element is studied and the output errors caused by node parasitic capacitors are analysed in this letter. In order to avoid such errors, an improved C element with two inverted ratio MOS transistors added is proposed to control high resistance nodes of the circuit. To reduce the power consumption of C element, two resistors are added. The proposed C element has been designed in 28 nm CMOS process and 2.5 V devices are adopted. The simulation results show that proposed C element avoids such errors and the size of the layout is 67.33 µm<sup>2</sup>.</p>","PeriodicalId":11556,"journal":{"name":"Electronics Letters","volume":"61 1","pages":""},"PeriodicalIF":0.7,"publicationDate":"2025-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/ell2.70184","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143438801","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}