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Some characteristics of logistic map over the finite field

Science China(information Sciences) 2019年第3期62卷 199-201页

作者： Bo YANG Xiaofeng LIAO Chongqing Key Laboratory of Nonlinear Circuits and Intelligent Information Processing College of Electronic and Information Engineering Southwest University

Dear editor,Chaotic maps have good characteristics, which include randomness, sensitivity to the initial value,and unpredictability. Hence, there have been many attempts to discuss the dynamic behavior of chaotic maps... 详细信息

关键词： Some characteristics of logistic map over the finite field

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Physical-layer secrecy outage of spectrum sharing CR systems over fading channels

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Science China(information Sciences) 2016年第10期59卷 112-120页

作者： Hequn LIU Hui ZHAO Hong JIANG Chaoqing TANG Gaofeng PAN Tingting LI Yunfei CHEN Chongqing Key Laboratory of Nonlinear Circuits and Intelligent Information Processing Southwest University School of Mathematics and Statistics Southwest University School of Engineering University of Warwick

In this paper, we investigate the physical-layer secrecy outage performance of underlay spectrum sharing systems over Rayleigh and log-normal fading channels in the presence of one eavesdropper. In particular, the secondary transmitter sends data to the legitimate receiver under the constraints of the interference temperature at the primary receiver, while suffering the wiretap from the eavesdropper. Closed-form and approximated expressions are derived for the secrecy outage probability over Rayleigh and log-normal fading channels,respectively. The accuracy of our performance analysis is verified by simulation results.

关键词： spectrum sharing cognitive radio secrecy outage probability Rayleigh fading channels log-normal fading channels

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Robust variable normalization least mean p-power algorithm

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Science China(information Sciences) 2020年第9期63卷 294-302页

作者： Kui XIONG Yu ZHANG Shiyuan WANG College of Electronic and Information Engineering Southwest University Chongqing Key Laboratory of Nonlinear Circuits and Intelligent Information Processing Faculty of Computer and Information Science Southwest University

Dear editor,Adaptive filtering algorithms have been widely applied in system identification, channel equalization, and echo cancellation over the past decades [1–3]. Generally, adaptive filtering algorithms can be ge... 详细信息

关键词： Least mean p-power algorithm variable normalization sigmoid function steady-state performance analysis noise robustness

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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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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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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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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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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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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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Accelerated Primal-Dual Projection Neurodynamic Approach With Time Scaling for Linear and Set Constrained Convex Optimization Problems

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IEEE/CAA Journal of Automatica Sinica 2024年第6期11卷 1485-1498页

作者： You Zhao Xing He Mingliang Zhou Tingwen Huang Chongqing Key Laboratory of Nonlinear Circuits and Intelligent Information Processing College of Electronic and Information EngineeringSouthwest UniversityChongqing 400715China School of Computer Science Chongqing UniversityChongqing 400044China Department of Mathematics Texas A&M University at QatarDoha 23874Qatar IEEE

The Nesterov accelerated dynamical approach serves as an essential tool for addressing convex optimization problems with accelerated convergence *** previous studies in this field have primarily concentrated on unconstrained smooth con-vex optimization *** this paper,on the basis of primal-dual dynamical approach,Nesterov accelerated dynamical approach,projection operator and directional gradient,we present two accelerated primal-dual projection neurodynamic approaches with time scaling to address convex optimization problems with smooth and nonsmooth objective functions subject to linear and set constraints,which consist of a second-order ODE(ordinary differential equation)or differential conclusion system for the primal variables and a first-order ODE for the dual *** satisfying specific conditions for time scaling,we demonstrate that the proposed approaches have a faster conver-gence *** only requires assuming convexity of the objective *** validate the effectiveness of our proposed two accel-erated primal-dual projection neurodynamic approaches through numerical experiments.

关键词： Accelerated projection neurodynamic approach lin-ear and set constraints projection operators smooth and nonsmooth convex optimization time scaling.

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