Circuits, Systems and Signal Processing最新文献_第7页

Gradient-Based Recursive Parameter Estimation Methods for a Class of Time-Varying Systems from Noisy Observations 基于梯度的时变系统递归参数估计方法（从噪声观测中得出

IF 2.3 3区工程技术

Circuits, Systems and Signal Processing Pub Date : 2024-07-29 DOI: 10.1007/s00034-024-02776-1

Ning Xu, Qinyao Liu, Feng Ding

{"title":"Gradient-Based Recursive Parameter Estimation Methods for a Class of Time-Varying Systems from Noisy Observations","authors":"Ning Xu, Qinyao Liu, Feng Ding","doi":"10.1007/s00034-024-02776-1","DOIUrl":"https://doi.org/10.1007/s00034-024-02776-1","url":null,"abstract":"It is essential for meeting the stringent real-time demands encountered in actual production scenarios. Employing the low computational complexity of recursive algorithms, some new schemes are developed for the parameter estimation of a class of time-varying systems. The temporal evolution of parameters is characterized through the autoregressive process, facilitating the construction of the identification model with regard to the autoregressive coefficients. Based on the computational efficiency of the gradient search, a parametric autoregression-based stochastic gradient algorithm is derived with an appropriate step size, achieving a compromise between the steepest descent and convergence rate. In order to address the limitation of the low estimation accuracy in gradient algorithms, a parametric autoregression-based multi-innovation stochastic gradient algorithm is explored by making use of the favorable information for corrections. The simulation results are given to demonstrate the effectiveness of the proposed algorithms. Therefore, for a class of time-varying systems whose parameters become the further insight through the autoregressive process, the proposed gradient methods can obtain the parameter estimates faster and more accurately while ensuring the real-time performance of time-varying systems.","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":"141868051","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 Quest for Formant-Based Compact Nonuniform Trapezoidal Filter Banks for Speech Processing with VGG16 探索基于格式的紧凑型非均匀梯形滤波器组，用于 VGG16 语音处理

IF 2.3 3区工程技术

Circuits, Systems and Signal Processing Pub Date : 2024-07-29 DOI: 10.1007/s00034-024-02794-z

Cevahir Parlak, Yusuf Altun

引用次数: 0

An RC Analog of a Double Tuned Circuit 双调谐电路的 RC 模拟电路

IF 2.3 3区工程技术

Circuits, Systems and Signal Processing Pub Date : 2024-07-28 DOI: 10.1007/s00034-024-02781-4

S. C. Dutta Roy, Y. V. Joshi, Sudarshan R. Nelatury

引用次数: 0

Maximum Total Fractional-Order Correntropy Adaptive Filtering Algorithm for Parameter Estimation Under Impulsive Noises 用于脉冲噪声下参数估计的最大总分阶熵自适应滤波算法

IF 2.3 3区工程技术

Circuits, Systems and Signal Processing Pub Date : 2024-07-27 DOI: 10.1007/s00034-024-02772-5

Jiali Yang, Qiang Zhang, Yongjiang Luo, Yuhang Bai

{"title":"Maximum Total Fractional-Order Correntropy Adaptive Filtering Algorithm for Parameter Estimation Under Impulsive Noises","authors":"Jiali Yang, Qiang Zhang, Yongjiang Luo, Yuhang Bai","doi":"10.1007/s00034-024-02772-5","DOIUrl":"https://doi.org/10.1007/s00034-024-02772-5","url":null,"abstract":"As an adaptive finite impulse response filtering algorithm, the maximum total correntropy (MTC) algorithm plays an important role in parameter estimation of the errors-in-variables model where both input and output signals are contaminated with impulsive noises. However, the MTC algorithm is difficult to obtain a sufficiently high estimation accuracy under impulsive noises because the MTC cost function contains second-order moments of the error signal and its first-order gradient is susceptible to large outliers in the input noise. In this paper, a maximum total fractional-order correntropy (MTFOC) cost function is proposed and then a fractional-order gradient based MTFOC adaptive filtering algorithm is developed to improve the estimation accuracy of MTC. Moreover, the local stability and computational complexity of the proposed algorithm are analyzed. Simulation results indicate that the estimation accuracy and robustness of the MTFOC algorithm are superior to previous algorithms in both Gaussian mixture noise environments and (alpha )-stable distribution noise environments.","PeriodicalId":10227,"journal":{"name":"Circuits, Systems and Signal Processing","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2024-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141775299","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

Robust Near-field Circular Beamformer with Artificial Intelligence Based Side-lobe Reduction Technique 基于人工智能减少侧叶技术的鲁棒近场环形波束形成器

IF 2.3 3区工程技术

Circuits, Systems and Signal Processing Pub Date : 2024-07-27 DOI: 10.1007/s00034-024-02785-0

Rony Tota, Selim Hossain, Zamil Sultan, Hassanul Karim Roni

{"title":"Robust Near-field Circular Beamformer with Artificial Intelligence Based Side-lobe Reduction Technique","authors":"Rony Tota, Selim Hossain, Zamil Sultan, Hassanul Karim Roni","doi":"10.1007/s00034-024-02785-0","DOIUrl":"https://doi.org/10.1007/s00034-024-02785-0","url":null,"abstract":"Efficiently scanning for space signals and accurately detecting them from noisy environment is essential in space communication. Various unwanted interferences also present in space that may hamper the perfect detection process. This paper proposes a novel near-field circular beamformer (NCB) that will perfectly detect the desired source signal from any direction and position in space. To improve the robustness of NCB against Direction of Arrival (DOA) error, distance error, unwanted interferences and noises, this work also offers robust NCBs (RNCB) using robust Optimal Diagonal Loading (ODL) and Variable Diagonal Loading (VDL) techniques. While searching for wanted signal, the beamformer provides a primary lobe at the look direction and shows some secondary unwanted side lobes for noise and interference. Sometimes these undesired side lobe levels (SLL) become so severe that it may create conflict in locating the precise position of the desired source. To reduce these SLL, Genetic Algorithm (GA), Particle Swarm Optimization (PSO) and Grey Wolf Optimization (GWO) techniques have been applied to RNCB. The simulation results show that the optimized RNCB significantly diminishes the objectionable SLL of non-optimized RNCB by choosing appropriate weight vector of antenna array without affecting the other antenna parameters. Artificial Neural Network (ANN) have also been used to predict the weight vector for minimum SLL.","PeriodicalId":10227,"journal":{"name":"Circuits, Systems and Signal Processing","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2024-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141775302","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

Obtaining Controllable Pseudo-Upper and Lower Triangular Multi-Order State-Space Realizations from a Special Case of Incommensurate Fractional-Order Transfer Functions 从不相称的分数阶传递函数特例中获得可控的伪上三角和下三角多阶状态空间现实

IF 2.3 3区工程技术

Circuits, Systems and Signal Processing Pub Date : 2024-07-27 DOI: 10.1007/s00034-024-02789-w

Mohammad Tabatabaei

引用次数: 0

Discriminative Component Analysis Enhanced Feature Fusion of Electrical Network Frequency for Digital Audio Tampering Detection 用于数字音频干扰检测的判别成分分析增强型电网络频率特性融合

IF 2.3 3区工程技术

Circuits, Systems and Signal Processing Pub Date : 2024-07-26 DOI: 10.1007/s00034-024-02787-y

Chunyan Zeng, Shuai Kong, Zhifeng Wang, Kun Li, Yuhao Zhao, Xiangkui Wan, Yunfan Chen

{"title":"Discriminative Component Analysis Enhanced Feature Fusion of Electrical Network Frequency for Digital Audio Tampering Detection","authors":"Chunyan Zeng, Shuai Kong, Zhifeng Wang, Kun Li, Yuhao Zhao, Xiangkui Wan, Yunfan Chen","doi":"10.1007/s00034-024-02787-y","DOIUrl":"https://doi.org/10.1007/s00034-024-02787-y","url":null,"abstract":"Research in the domain of digital audio tampering detection has advanced significantly with the use of Electrical Network Frequency (ENF) analysis, presenting notable benefits for crime prevention and the enhancement of judicial integrity. However, the existing methodologies, particularly those analyzing ENF phase and frequency, are impeded by data clutter, redundancy, and incompatibilities with standard classification algorithms, leading to decreased detection efficacy. This study proposes a novel methodology employing Discriminant Component Analysis (DCA) for the fusion of ENF features, aiming to address these issues directly. By analyzing the distinct characteristics of ENF phase and frequency spectra, our approach uses DCA to merge these features effectively. This fusion not only amplifies the correlation between the features of phase and frequency but also simplifies the feature space through efficient dimensionality reduction. Additionally, to bridge the gap with traditional classification methods, we introduce a cascaded deep random forest algorithm, designed for intricate representational learning of the fused features. This sequential processing enhances the precision of our classification model significantly. Experimental results on both the Carioca and New Spanish public datasets demonstrate that our approach surpasses current state-of-the-art methods in terms of accuracy and robustness, establishing its superiority in the field of digital audio tampering detection. By integrating the DCA algorithm to accentuate feature uniqueness and maximize inter-feature correlation, alongside advanced representational learning via the deep random forest algorithm, our methodology markedly improves the accuracy of digital audio tampering detection.","PeriodicalId":10227,"journal":{"name":"Circuits, Systems and Signal Processing","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2024-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141775301","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

Tighter Uncertainty Principles Associated with the Non-isotropic Angular Stockwell Transform 与各向异性角斯托克韦尔变换相关的更严格不确定性原理

IF 2.3 3区工程技术

Circuits, Systems and Signal Processing Pub Date : 2024-07-26 DOI: 10.1007/s00034-024-02788-x

Xinyu Wang, Shenzhou Zheng

引用次数: 0

Analysis of Highly Efficient Broadband Push–Pull Class-E Power Amplifier 高效宽带推挽式 E 类功率放大器分析

IF 2.3 3区工程技术

Circuits, Systems and Signal Processing Pub Date : 2024-07-23 DOI: 10.1007/s00034-024-02798-9

Heng Lu, Jianliang Jiang, Hengli Zhang

{"title":"Analysis of Highly Efficient Broadband Push–Pull Class-E Power Amplifier","authors":"Heng Lu, Jianliang Jiang, Hengli Zhang","doi":"10.1007/s00034-024-02798-9","DOIUrl":"https://doi.org/10.1007/s00034-024-02798-9","url":null,"abstract":"Switching-mode power amplifiers have provided unprecedented opportunities for modern wireless communication technology. However, its single-ended structure suffers from significant harmonic interferences on signal transmission; in some cases, higher return loss caused by the impedance mismatch may damage or even destroy the device directly. Here it shows, analytically and experimentally, a broadband push–pull parallel-circuit (PC) Class-E power amplifier (PA) which can present high efficiency and flatness gain over a wide frequency range. Based on the broadband capability of the proposed structure, a highly-efficient push–pull PC Class-E PA combining single reactance compensation technique and Chebyshev low-pass impedance matching network (MN) is designed and fabricated. Experimental results demonstrated that a drain efficiency of 93.71–94.62% operating from 7.0 to 9.4 MHz, as well as output power (Pout) of 42.1–44.57 dBm and power gain of 14.1–16.57 dB are obtained. The measurement results show good agreements with the simulation results, which may be a potential candidate for electronic article surveillance (EAS) applications operating in the high-frequency band.","PeriodicalId":10227,"journal":{"name":"Circuits, Systems and Signal Processing","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2024-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141775305","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

Event-Triggered Control for Roesser Model-Based 2D Markov Jump Systems Under Stochastic Communication Protocol 随机通信协议下基于 Roesser 模型的二维马尔可夫跃迁系统的事件触发控制

IF 2.3 3区工程技术

Circuits, Systems and Signal Processing Pub Date : 2024-07-23 DOI: 10.1007/s00034-024-02784-1

Yu Zhang, Yuxiang Ji, Taiping Jiang, Jianping Zhou

{"title":"Event-Triggered Control for Roesser Model-Based 2D Markov Jump Systems Under Stochastic Communication Protocol","authors":"Yu Zhang, Yuxiang Ji, Taiping Jiang, Jianping Zhou","doi":"10.1007/s00034-024-02784-1","DOIUrl":"https://doi.org/10.1007/s00034-024-02784-1","url":null,"abstract":"This paper is concerned with the event-triggered control problem for Roesser model-based two-dimensional (2D) Markov jump systems with multiple communication channels. In order to optimize the utilization of communication resources, an event-triggered rule (ETR) is proposed based on the structural characteristics of the 2D Markov jump plant. In addition, a stochastic communication protocol (SCP) is utilized to schedule transmissions from the controller to the actuators. Under the ETR and the SCP, an asynchronous state-feedback control scheme is formulated, allowing for mode mismatches between the controller and the 2D plant. A sufficient condition on both stochastic stability and a predefined ({mathcal {H}}_{infty }) disturbance-attenuation performance of the closed-loop 2D system is established. Building upon this condition and linear matrix inequalities, a computationally efficient method is developed for designing the required state-feedback controller gains. Finally, the feasibility and effectiveness of the proposed event-triggered control approach are demonstrated by the application of a simulation example involving the Darboux equation.","PeriodicalId":10227,"journal":{"name":"Circuits, Systems and Signal Processing","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2024-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141775410","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