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6th IEEE International Conference on Computer and Communication Systems, ICCCS 2021

作者： Xiao, Xiao Liu, Xinyu Peng, Dairong Chen, Tong Chongqing Key Laboratory of Non-linear Circuit and Intelligent Information Processing School of Electronic and Information Engineering Southwest University Chongqing400715 China

ISBN: (纸本)9780738126043

In recent years, tissue oxygen saturation (StO2) based on hyperspectral imaging (HSI) technology has been deeply studied in the field of affective computing. HSI StO2 is a kind of non-contact physiological signal, which can reveal people's potential emotions. However, at this stage, the number of bands to generate StO2 is too many to achieve real-time emotion detection. Therefore, based on the publicly available HSI stress database, we used a linear Prediction (LP) algorithm to select only 8 characteristic bands from the original 106 bands to generate StO2 and performed the task of identifying psychological stress and physical stress. The experimental results showed that the recognition rate of StO2 generated based on the selected 8 bands in stress detection is very close to (even higher) that of the original 106 bands, and reaches 84.44% when using the Bayes classifier. © 2021 IEEE.

关键词： Hyperspectral imaging

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ISS -equilibrium with stability analysis for disturbed game-based impulsive systems

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Automatica 2025年 179卷

作者： Wenlu Liu Chuandong Li Xiaodi Li Chongqing Key Laboratory of Nonlinear Circuits and Intelligent Information Processing College of Electronic and Information Engineering Southwest University Chongqing 400715 PR China School of Mathematics and Statistics Shandong Normal University Ji’nan 250014 PR China

This paper focuses on a class of two-player differential games subject to exogenous disturbances, where one player employs piecewise-continuous control, and the other uses impulsive control. Particularly, the exploration of equilibrium solution in differential games is accompanied by the stability performance analysis of relevant system. To be more specific, the construction of saddle point in zero-sum differential game and Nash equilibrium in nonzero-sum differential game is established under the Lyapunov criteria for input-to-state stability ( ISS ). Furthermore, owing to the existence of external disturbances and the characterization of ISS property, two extended equilibrium solution concepts are introduced. We propose the definition of ϵ - ISS saddle point and ϵ - ISS Nash equilibrium for which the corresponding verification theorems are formulated. Finally, two numerical experiments are provided to illustrate the proposed results.

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Application of multiple two-dimensional interpolation methods to bathymetric data on the FVCOM unstructured triangular grid

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Applied Mathematics and Computation 2025年 507卷

作者： Zongli Ruan Guobing Qian Yiwei Wang Jia Xiao College of Science China University of Petroleum (East China) Qingdao 266580 PR China Chongqing Key Laboratory of Nonlinear Circuits and Intelligent Information Processing College of Electronic and Information Engineering Southwest University Chongqing 400715 PR China

In general, the ocean bathymetric dataset is defined on a uniform rectangular grid, whereas FVCOM employs an unstructured triangular grid. Consequently, it is necessary to interpolate the data from the nodes of the rectangular grid onto those of the triangular grid. The nearest neighbor method, bilinear method, and inverse distance weighting (IDW) method are three commonly utilized two-dimensional interpolation techniques, and inverse distance weighted regression (IDWR) represents a more recent interpolation approach. In this study, these methods were applied to interpolate the bathymetric data of the Hormuz Strait and the North Indian Ocean onto the FVCOM triangular grid. The experimental results demonstrate that a very small error in the interpolation of bathymetric data was achieved. Additionally, these methods were compared with the interpolation techniques provided by the MATLAB system. The comparative analysis reveals that the bilinear method can achieve a superior interpolation effect compared to the other three methods.

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A simple motion deblurring method by two continuous images 6

A simple motion deblurring method by two continuous images

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6th International Conference on information, Cybernetics, and Computational Social Systems, ICCSS 2019

作者： Zhang, Jihai Li, Jianfeng Liu, Guangyuan Chen, Tong Zhu, Tengteng Li, Bo Chongqing Key Laboratory of Nonlinear Circuits Intelligent Information Processing Chongqing400715 China

ISBN: (纸本)9781728158570

Restoring blurred images to clear images is a challenging problem. Most previous methods only analyzed the single image. However, for motion blurring, this method missed the key trajectory description process. Based on the essence of motion blur, our research combined the continuous frame image information in video to estimate the motion track, the SIFT algorithm was proposed for the first time to match the feature points of the target in the continuous frame image. The accurate motion blur angle and motion blur distance were obtained by combining the matching information to obtain an accurate PSF. Finally, the Wiener filtering algorithm combined with PSF was used for deblurring. Experiments showed that the proposed method can improve the image sharpness after restoration compared with the previous algorithms. © 2019 IEEE.

关键词： Image enhancement

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Event-Triggered Differentially Private Average Consensus for Multi-agent Network

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IEEE/CAA Journal of Automatica Sinica 2019年第1期6卷 75-83页

作者： Aijuan Wang Xiaofeng Liao Haibo He the College of Computer Science Chongqing University the School of Electronics and Information Engineering Southwest University the Department of Electrical Computer and Biomedical EngineeringUniversity of Rhode Island Kingston IEEE Chongqing Key Laboratory of Nonlinear Circuits and Intelligent Information Processing

This paper investigates the differentially private problem of the average consensus for a class of discrete-time multi-agent network systems(MANSs). Based on the MANSs,a new distributed differentially private consensus algorithm(DPCA) is developed. To avoid continuous communication between neighboring agents, a kind of intermittent communication strategy depending on an event-triggered function is established in our DPCA. Based on our algorithm, we carry out the detailed analysis including its convergence, its accuracy, its privacy and the trade-off between the accuracy and the privacy level, respectively. It is found that our algorithm preserves the privacy of initial states of all agents in the whole process of consensus computation. The trade-off motivates us to find the best achievable accuracy of our algorithm under the free parameters and the fixed privacy level. Finally, numerical experiment results testify the validity of our theoretical analysis.

关键词： Average consensus differentially private event-triggered communication multi-agent network systems (MANSs)

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Bayesian random Fourier filters for Gaussian noises

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Science China(information Sciences) 2018年第12期61卷 214-216页

作者： Shiyuan WANG Wanli WANG Shukai DUAN Lidan WANG Chi K.TSE College of Electronic and Information Engineering Southwest University Chongqing Key Laboratory of Nonlinear Circuits and Intelligent Information Processing Department of Electronic and Information Engineering Hong Kong Polytechnic University

Dear editor,Signal processing algorithms are generally used to identify an unknown system, and can be classified as batch algorithms and online learning algorithms(OLAs). Batch algorithms are applied to offline scenar... 详细信息

关键词： Bayesian random Fourier filters for Gaussian noises

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Kernel Least Mean Square with Tracking 36

Kernel Least Mean Square with Tracking

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第36届中国控制会议

作者： Wanli Wang Shiyuan Wang Guobing Qian Bo Yang College of Electronic and Information Engineering Southwest University Chongqing Key Laboratory of Nonlinear Circuits and Intelligent Information Processing

ISBN: (纸本)9781538629185

Based on the Gaussian process(GP) regression,the relationship between the input-output pair can be modeled by the sum of the Gaussian noise and an unknown latent function evaluated on an input(LFEI).The acquisition of LFEI is thus essentially *** this paper,a novel algorithm called kernel least mean square with tracking(KLMS-T) is proposed to estimate *** on the existing kernel least mean square(KLMS) that is a simple and efficient kernel adaptive filtering algorithm,the proposed KLMS-T utilizes the framework of Bayesian inference to estimate LFEI from the function-space *** show that compared with LMS and KLMS,KLMS-T achieves better filtering performance in terms of the convergence rate and the steady state mean square error.

关键词： Gaussian process latent function kernel adaptive filter mean square error

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Sparse Huber Adaptive Filter with Correntropy Induced Metric Penalty 35

Sparse Huber Adaptive Filter with Correntropy Induced Metric...

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第35届中国控制会议

作者： WANG Shiyuan ZHENG Yunfei DUAN Shukai College of Electronic and Information Engineering Southwest University Chongqing Key Laboratory of Nonlinear Circuits and Intelligent Information Processing

ISBN: (纸本)9781509009107

The Huber adaptive filter is robust both in the Gaussian and non-Gaussian noise *** correntropy induced metric（CIM） is an excellent approximator of the l-norm and can be used as a sparsity penalty ***,a novel sparse method based on the Huber cost with CIM constraint（CIM-Huber） is developed for sparse system identification in this *** comparison,the Huber cost functions with zero-attracting penalty（ZA-Huber） and reweighted zero-attracting penalty（RZA-Huber） algorithm are discussed *** results show that the proposed CIM-Huber has a better performance in the identification of sparse systems than the ZA-Huber and the RZA-Huber,and can also be applied to system identification under the cases of various noise environments.

关键词： Sparse system identification Huber adaptive filter Correntropy induced metric Noise

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A Read and Write Method for Forgetting Memristor Crossbar Array with Long-term and Short-term Memory

A Read and Write Method for Forgetting Memristor Crossbar Ar...

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2021 International Conference on Neuromorphic Computing, ICNC 2021

作者： Wang, Yifan Chen, Ling Li, Chuandong College of Westa Chongqing Southwest University Key Laboratory of Nonlinear Circuits and Intelligent Information Processing Chongqing China College of Electronic Information and Engineering Chongqing Southwest University Key Laboratory of Nonlinear Circuits and Intelligent Information Processing Chongqing China

ISBN: (纸本)9781665412872

In this paper, time slot technology is designed based on the single forgetting memristor synapse with single voltage source to read and write the forgetting memristor crossbar array. The amplitude of the voltage source signal is used to set the corresponding long-term and short-term memory weights, and the circuit protection signal is used to improve the security of the nanoscale memristor crossbar array. By analyzing the forgetting properties of memristor synapses, the forgetting memristor crossbar array with long-term memory, short-term memory (LSM) and its corresponding read-write mode are demonstrated. Because the forgetting memristor crossbar array can store both long-term and short-term memories, the application of forgetting memristor crossbar array to image storage can show the spontaneous evolution of images. © 2021 IEEE.

关键词： Memristors

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Memristor-based hyper-chaotic circuit for image encryption

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Chinese Physics B 2020年第11期29卷 259-270页

作者： Jiao-Jiao Chen Deng-Wei Yan Shu-Kai Duan Li-Dan Wang College of Electronic and Information Engineering Southwest UniversityChongqing 400715China Chongqing Key Laboratory of Nonlinear Circuits and Intelligent Information Processing Southwest UniversityChongqing 400715China Intelligent Transmission and Control Technology Joint Engineering Laboratory Chongqing 400715China Brain-inspired Computing and Intelligent Control Chongqing Key Laboratory Chongqing 400715China Chongqing Collaborative Innovation Center for Brain Science Chongqing 400715China School of Artificial Intelligence Southwest UniversityChongqing 400715China

The memristor is a kind of non-linear element with memory function,which can be applied to chaotic systems to increase signal randomness and *** this paper,a new four-dimensional hyper-chaotic system is designed based on a flux controlled memristor model,which can generate complex chaotic *** basic dynamic theory analysis and numerical simulations of the system,such as the stability of equilibrium points,the Lyapunov exponents and dimension,Poincare maps,the power spectrum,and the waveform graph prove that it has rich dynamic ***,the circuit implementation of this system is *** consistency of simulation program with integrated circuit emphasis(SPICE)simulation and numerical analysis proves the ability to generate ***,a new image encryption scheme is designed by using the memristor-based hyper-chaotic system proposed in this *** scheme involves a total of two *** using different security analysis factors,the proposed algorithm is compared with other image encryption schemes,including correlation analysis,information entropy,*** results show that the proposed image encryption scheme has a large key space and presents a better encryption effect.

关键词： memristor SPICE simulation hyper-chaotic system image encryption

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