Circuits, Systems and Signal Processing最新文献_第6页

SFA: A Robust Sparse Fractal Array for Estimating the Directions of Arrival of Signals SFA：用于估计信号到达方向的鲁棒稀疏分形阵列

IF 2.3 3区工程技术

Circuits, Systems and Signal Processing Pub Date : 2024-08-01 DOI: 10.1007/s00034-024-02792-1

Kretika Goel, Monika Agrawal, Subrat Kar

{"title":"SFA: A Robust Sparse Fractal Array for Estimating the Directions of Arrival of Signals","authors":"Kretika Goel, Monika Agrawal, Subrat Kar","doi":"10.1007/s00034-024-02792-1","DOIUrl":"https://doi.org/10.1007/s00034-024-02792-1","url":null,"abstract":"In correlation-based processing, sparse arrays offer the capacity to resolve a greater number of uncorrelated sources than physical sensors due to the considerable breadth of their difference coarrays, originating from variations in the locations of elements. Consequently, there is significant interest in devising sparse arrays with sizable difference coarrays and expanding the analysis to encompass additional array characteristics like symmetry, resilience, and cost-effective engineering. We present a scalable and systematic methodology for designing large sparse arrays. Considering several attributes and factors, we can address Fractal arrays that were used for low-side lobe antenna array designing and have very low degrees of freedom; hence, sparsity is introduced to design a hole-free difference coarray which not only increases the number of degrees of freedom in fractal arrays but also aids in better beamforming applications and enhanced DoA results due to regularization in coarrays. We develop an innovative sparse fractal array to enhance the accuracy of DoA estimation for predicting a maximum number of uncorrelated sources with a minimum possible actual sensors. First, the 1D sparse fractal array is constructed and then it is extended to a 2D sparse fractal array for both azimuth and elevation angle estimation. Comprehensive robustness analysis is conducted on the proposed sparse fractal array, encompassing one-dimensional (1D) and two-dimensional (2D) configurations, in response to sensor failures. RMSE analysis shows that the proposed 1D and 2D arrays possess the minimum error when used for direction estimation.","PeriodicalId":10227,"journal":{"name":"Circuits, Systems and Signal Processing","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2024-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141868049","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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

Dysarthric Severity Categorization Based on Speech Intelligibility: A Hybrid Approach 基于语音清晰度的肢体瘫痪严重程度分类：混合方法

IF 2.3 3区工程技术

Circuits, Systems and Signal Processing Pub Date : 2024-08-01 DOI: 10.1007/s00034-024-02770-7

Vidya M., Ganesh Vaidyanathan S.

引用次数: 0

Adaptive Fast Desensitized Kalman Filter 自适应快速脱敏卡尔曼滤波器

IF 2.3 3区工程技术

Circuits, Systems and Signal Processing Pub Date : 2024-08-01 DOI: 10.1007/s00034-024-02801-3

Tai-shan Lou, Nanhua Chen, Liangyu Zhao

引用次数: 0

A Novel Dual Kernel Support Vector-Based Levy Dung Beetle Algorithm for Accurate Speech Emotion Detection 基于双核支持向量的新型利维蜣螂算法，用于准确的语音情感检测

IF 2.3 3区工程技术

Circuits, Systems and Signal Processing Pub Date : 2024-07-29 DOI: 10.1007/s00034-024-02791-2

Tian Han, Zhu Zhang, Mingyuan Ren, Changchun Dong, Xiaolin Jiang

{"title":"A Novel Dual Kernel Support Vector-Based Levy Dung Beetle Algorithm for Accurate Speech Emotion Detection","authors":"Tian Han, Zhu Zhang, Mingyuan Ren, Changchun Dong, Xiaolin Jiang","doi":"10.1007/s00034-024-02791-2","DOIUrl":"https://doi.org/10.1007/s00034-024-02791-2","url":null,"abstract":"Human emotions are easy to identify through facial expressions, body movements, and gestures. Speech carries a lot of emotional cues including variations in pitch, tone, intensity, and rhythm. In recent years, the increasing demand for human–computer interaction has spurred the development of speech recognition methods. Traditional Speech emotion detection methods are less effective in recognizing emotions, considering features like pitch, intensity, and spectral characteristics. To address these issues, this paper proposed a novel method named Dual Kernel Support Vector based Levy Dung Beetle (DKSV-LDB) Algorithm to accurately identify emotions like happiness, anger, sadness, etc. from speech patterns. In this study, the model is designed by combining a Dual Kernel Support Vector Machine (SVM) method with a Dung beetle Optimization algorithm, enriched by the Levy Flight strategy. This work conducted experiments in the datasets namely the CREMA-D, TESS, and EMO-DB (German). The performance evaluation measures such as accuracy, precision, recall, F-measure, and specificity are utilized for the evaluation of the proposed DKSV-LDB method and these results are compared with existing methods. The DKSV-LDB method achieved accuracy, precision, recall, F-measure, and specificity of 98.57%, 97.91%, 97.86%, 97.84%, and 97.78%. The experimental results depict the performance of the developed DKSV-LDB technique for speech emotion identification.","PeriodicalId":10227,"journal":{"name":"Circuits, Systems and Signal Processing","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2024-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141868073","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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 Two-Stage Approach for Underwater Image Enhancement Via Color-Contrast Enhancement and Trade-Off 通过色彩-对比度增强和权衡实现水下图像增强的两阶段方法

IF 2.3 3区工程技术

Circuits, Systems and Signal Processing Pub Date : 2024-07-29 DOI: 10.1007/s00034-024-02778-z

Huipu Xu, Shuo Chen

{"title":"A Two-Stage Approach for Underwater Image Enhancement Via Color-Contrast Enhancement and Trade-Off","authors":"Huipu Xu, Shuo Chen","doi":"10.1007/s00034-024-02778-z","DOIUrl":"https://doi.org/10.1007/s00034-024-02778-z","url":null,"abstract":"The underwater imaging environment is very different from land, and some common land image enhancement methods are often not applicable to the underwater environment. This paper proposes a two-step underwater image enhancement method. White balance is a commonly used color correction method. In underwater environments, the traditional white balance method has certain limitations and results in severe color bias. This is caused by the faster attenuation of red light in underwater environments. We develop a new white balance method based on the assumption of the gray world method. A red correction module is embedded in the method, which is more suitable for underwater environments. For contrast correction, we design an illuminance correction method based on the Retinex model. The method significantly reduces the computational burden compared to traditional methods, while enhancing the brightness and contrast of the images. In addition, most of the current underwater image enhancement methods deal with color and contrast issues separately. However, these two factors influence each other, and processing them separately may lead to suboptimal results. Therefore, we investigate the relationship between color and contrast and propose a trade-off method. Our method integrates color and contrast within a histogram framework, achieving a balanced enhancement of both aspects. To avoid chance, we utilized four datasets, each containing 800 randomly selected images for metric testing. On the five non-referential metrics, three firsts and two seconds were ranked. Our method ranked second on two referenced metrics. Superior results were also achieved in runtime comparisons. Finally, we further demonstrate the superiority of our method through detailed demonstrations and ablation experiments.","PeriodicalId":10227,"journal":{"name":"Circuits, Systems and Signal Processing","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2024-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141868053","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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

Fixed-Time and Predefined-Time Bipartite Consensus Tracking for Second-Order Multi-agent Systems Based on Sliding-Mode Approach 基于滑动模式方法的二阶多代理系统的固定时间和预定时间两方共识跟踪

IF 2.3 3区工程技术

Circuits, Systems and Signal Processing Pub Date : 2024-07-29 DOI: 10.1007/s00034-024-02774-3

Shan Wang, Xisheng Zhan, Jie Wu, Lingli Cheng, Bo Wu

引用次数: 0

Finite-Time Extended Dissipative Fault Estimate for Discrete-Time Markov Jumping Neural Networks Based on an Event-Triggered Approach 基于事件触发方法的离散时间马尔可夫跳跃神经网络的有限时间扩展耗散故障估计

IF 2.3 3区工程技术

Circuits, Systems and Signal Processing Pub Date : 2024-07-29 DOI: 10.1007/s00034-024-02783-2

Xiaodan Zhu, Yuanqing Xia, Jun Wang, Xin Hu

引用次数: 0

Advancing ECG Signal Modeling Through a Hybrid Parametric Spline Approach 通过混合参数样条法推进心电信号建模

IF 2.3 3区工程技术

Circuits, Systems and Signal Processing Pub Date : 2024-07-29 DOI: 10.1007/s00034-024-02797-w

Alka Mishra, Surekha Bhusnur, Santosh Mishra

{"title":"Advancing ECG Signal Modeling Through a Hybrid Parametric Spline Approach","authors":"Alka Mishra, Surekha Bhusnur, Santosh Mishra","doi":"10.1007/s00034-024-02797-w","DOIUrl":"https://doi.org/10.1007/s00034-024-02797-w","url":null,"abstract":"This paper addresses data privacy concerns and the need for a low computational framework in health sciences education. Introducing hybrid parametric splines as a novel approach in ECG signal modeling, the study explores three cases: parametric cubic spline, parametric quartic spline, and a hybrid approach combining both methods with second-order continuity. Accuracy is assessed using power spectrum analysis, root mean square error (RMSE), percent root mean square difference (PRD), Cross correlation, and Dynamic Time Warping (DTW) validated measures. Additionally, statistical analysis, including the Bland-Altman scatter plot, supports the hybrid approach. The hybrid approach achieves a harmonious blend of smoothness, heightened flexibility, and increased accuracy while ensuring computational simplicity. Efficient utilization of fewer data points optimizes storage and processing. Capable of generating diverse ECG signals, it allows flexibility in creating various scenarios. The hybrid approach demonstrates superior accuracy, as evidenced by the obtained RMSE, PRD, Cross correlation, and DTW values of 0.0410, 15.76, 0.98, and 0.49, respectively.Contributing to the advancement of ECG modeling, these findings provide enhanced visualization, analysis, and educational demonstrations in health science education, particularly in cardiovascular physiology. This research offers valuable insights for improving education in cardiovascular health sciences through the application of ECG modeling. By adopting the hybrid approach, educators and researchers can enhance their understanding and teaching of cardiovascular health, ultimately leading to improved education and advancements in the field.\u0000","PeriodicalId":10227,"journal":{"name":"Circuits, Systems and Signal Processing","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2024-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141868052","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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

Switching Step-Size Based Widely Linear Adaptive Filtering Algorithms 基于切换步长的宽线性自适应滤波算法

IF 2.3 3区工程技术

Circuits, Systems and Signal Processing Pub Date : 2024-07-29 DOI: 10.1007/s00034-024-02786-z

Zhiyuan Li, Peng Guo, Tao Yang, Ke Li, Yi Yu

引用次数: 0

Multi-frequency Oscillations in the Nonlinear Threshold Controlled Unidirectionally Coupled Oscillators 非线性阈值控制单向耦合振荡器中的多频振荡

IF 2.3 3区工程技术

Circuits, Systems and Signal Processing Pub Date : 2024-07-29 DOI: 10.1007/s00034-024-02795-y

P. Yogamarish, I. Raja Mohamed

引用次数: 0