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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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Secrecy performance analysis of single-input multiple-output generalized-K fading channels

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Frontiers of information Technology and Electronic Engineering 2016年第10期17卷 1074-1084页

作者： Lei, Hong-jiang Ansari, Imran Shafique Gao, Chao Guo, Yong-cai Pan, Gao-feng Qaraqe, Khalid A. Chongqing Key Laboratory of Mobile Communications Technology Chongqing University of Posts and Telecommunications Chongqing400065 China MOE Key Laboratory of Optoelectronic Technology and Systems Chongqing University Chongqing400044 China Department of Electrical and Computer Engineering Texas A&M University at Qatar Doha Qatar Chongqing Key Laboratory of Nonlinear Circuits and Intelligent Information Processing Southwest University Chongqing400715 China

In this paper, the transmission of confidential messages through single-input multiple-output (SIMO) independent and identically generalized-K (KG) fading channels is considered, where the eavesdropper overhears the transmission from the transmitter to the receiver. Both the receiver and the eavesdropper are equipped with multiple antennas, and both active and passive eavesdroppings are considered where the channel state information of the eavesdropper’s channel is or is not available at the transmitter. The secrecy performance of SIMO KG systems is investigated. Analytical expressions for secrecy outage probability and average secrecy capacity of SIMO systems are derived via two different methods, in which KG distribution is approximated by the Gamma and mixture Gamma distributions, respectively. Numerical results are presented and verified via the Monte-Carlo simulation. © 2016, Journal of Zhejiang University Science Editorial Office and Springer-Verlag Berlin Heidelberg.

关键词： Fading channels

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A Methodology for Palm Vein Image Enhancement and Visualization

A Methodology for Palm Vein Image Enhancement and Visualizat...

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2016 IEEE International Conference of Online Analysis and Computing Science(ICOACS 2016)

作者： Min Peng Chongyang Wang Tong Chen Guangyuan Liu School of Electronic and Information Engineering Southwest University Chongqing Key Laboratory of Non-linear Circuit and Intelligent Information Processing Southwest University

Palm vein recognition is a developing biometric identification *** can be used in physical security and information security for selective control of access to a place or *** to the palm vein recognition,vein enhancement is generally required for a better *** this paper,we propose a vein enhancement method combining Karhunen-Loeve(KL) transform and hue-preserving color image enhancement *** results show that the proposed method is robust to shadow affect,can give better visualization results,and can significantly improve the contrast and contour details of image(the contrast ratio increases by 2.3%,edge intensity increases by 8.8%,and definition increases by 66.9%) comparing to the traditional enhancement methods.

关键词： palm vein recognition palm vein enhancement multispectral image KL transform color enhancement formatting

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A methodology for palm vein image enhancement and visualization

A methodology for palm vein image enhancement and visualizat...

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IEEE International Conference of Online Analysis and Computing Science (ICOACS)

作者： Min Peng Chongyang Wang Tong Chen Guangyuan Liu Chongqing Key Laboratory of Non-linear Circuit and Intelligent Information Processing Southwest University Chongqing China School of Electronic and Information Engineering Southwest University Chongqing China

ISBN: (纸本)9781467377560

Palm vein recognition is a developing biometric identification technology. It can be used in physical security and information security for selective control of access to a place or resource. Prior to the palm vein recognition, vein enhancement is generally required for a better recognition. In this paper, we propose a vein enhancement method combining Karhunen-Loeve (KL) transform and hue-preserving color image enhancement technology. Experimental results show that the proposed method is robust to shadow affect, can give better visualization results, and can significantly improve the contrast and contour details of image (the contrast ratio increases by 2.3%, edge intensity increases by 8.8%, and definition increases by 66.9%) comparing to the traditional enhancement methods.

关键词： Veins Transforms Decision support systems Image recognition Image color analysis Instruments Visualization

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Face recognition from near-infrared images with convolutional neural network

Face recognition from near-infrared images with convolutiona...

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International Conference on Wireless Communications and Signal processing (WCSP)

作者： Xiaotong Zhang Min Peng Tong Chen Chonqging Key Laboratory of Non-linear Circuit and Intelligent Information Processing Southwest University China

ISBN: (纸本)9781509028610

Owing to the vigorous development of face recognition, near-infrared (NIR) face recognition technology with light insensitivity has attracted increasing attention. However, the traditional methods for NIR face recognition feature the hand-crafted feature design. In this paper, we present a convolutional neural network (CNN) for NIR face recognition. CNN is a multiplayer feed-forward neural network which can automatically learn the features from the raw images and provide partial invariance to illumination, scale and deformation. Experimental results on PolyU-NIRFD database show that our proposed CNN architecture has higher recognition rate compared with the traditional recognition methods, such as Gabor-directional binary code (GDBC), Zernike moments and Hermite kernels (ZMHK).

关键词： Face recognition Feature extraction Neural networks Lighting Face Convolutional codes Databases

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Exploring Regulation Effect of Jogging on Human Emotion Based on Pulse Signal

Exploring Regulation Effect of Jogging on Human Emotion Base...

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International Symposium on Computational Intelligence and Design, ISCID

作者： Jianguang Yuan Guangyuan Liu Key Laboratory of Nonlinear Circuits and Intelligent Information Processing Southwest University Chongqing China

ISBN: (纸本)9781509035595

Until recently, claims for the psychological benefits of physical exercise have tended to precede supportive evidence. Actually, emotional effects of exercise remain confusing, both positive and negative effects being reported. Meanwhile, several studies have shown that the aerobic exercise has impact on human's mood through making subjective evaluation of the Profile of Mood States (POMS) before and after exercise. However, the conclusion via comparing with the Profile of Mood States (POMS) scores was lack of the objective basis. In order to explain the result that exercise has effects of adjustment to fear emotion from the objective point of view, therefore, this study researched exercise which can improve mood based on the subjects' physiological signal, and analyzed data using the affective computing. Issues involved in this study are discussed.

关键词： Mood Physiology Time series analysis Affective computing Fatigue Computational intelligence nonlinear circuits

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Recognition of Social Anxiety through the Analysis of BVP Volume Series

Recognition of Social Anxiety through the Analysis of BVP Vo...

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International Symposium on Computational Intelligence and Design, ISCID

作者： Guohong Zheng Guangyuan Liu Hui Hu Chongqing Key Laboratory of Nonlinear Circuits and Intelligent Information Processing School of Electronic and Information Engineering Southwest University Chongqing China

ISBN: (纸本)9781509035595

Social anxiety (SA) is highly prevalent in the general population, usually causing the impairment of social function and bringing mental and physical tortures to people. Accurate recognition of SA is significant to help people alleviate their anxiety through appropriate ways of emotion regulation. This paper presents the blood volume pulse (BVP) volume series for the recognition of SA. 30 subjects' high anxiety state and low anxiety state are respectively induced by impromptu speaking with 21 audience and without audience. The mean and the weighted Krawtchouk moments are extracted as the features. Two sample t-test shows that the higher degree of anxiety, the smaller mean of the BVP volume series. Support vector machines and leave-one-subject-out cross validation are used for the recognition of SA. The result shows that the recognition accuracy of high anxiety state and low anxiety state are 90% and 86.67%, respectively.

关键词： Physiology Public speaking Feature extraction Emotion recognition Support vector machines Sociology Statistics

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Facial Expression Recognition of Public Speaking Anxiety

Facial Expression Recognition of Public Speaking Anxiety

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International Symposium on Computational Intelligence and Design, ISCID

作者： Fuli Huang Wanhui Wen Guangyuan Liu Chongqing Key Laboratory of Nonlinear Circuits and Intelligent Information Processing School of Electronic and Information Engineering Southwest University Chongqing China

ISBN: (纸本)9781509035595

Public Speaking Anxiety (PSA) is one of the most universal subtypes of social anxiety, and the facial expression recognition of PSA is an immediate area of research focus. The experiment obtained the facial expression data of 18 postgraduates in their thesis defense for the master's degree. Then, valid data were selected by using self-evaluation of the subject and the average evaluation of 5 audience. Next, the paper used Active Shape Model (ASM) algorithm for feature extraction of 68 feature points in 5 facial zones. Moreover, the paper applied support vector machine algorithm to recognize the social anxiety state according to the displacements of the feature points, and backward selection (BS) algorithm was used to find out the most important features in recognition. The result illustrated the validity of the method and obtained the best correct rate of 99% in the recognition of social anxiety state. Meanwhile, the maximum displacement zone in social anxiety state is jaw, and followed by mouth, eyebrow, eyes and nose. Obvious individual differences were found in the formation of anxious facial expression.

关键词： Mouth Feature extraction Public speaking Face Speech Nose Face recognition

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Thermal face recognition using convolutional neural network

Thermal face recognition using convolutional neural network

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International Conference on Optoelectronics and Image processing (ICOIP)

作者： Zhan Wu Min Peng Tong Chen School of Electronic and Information Engineering Southwest University Chongqing Key Laboratory of Nonlinear Circuits and Intelligent Information Processing Southwest University Chongqing China

ISBN: (纸本)9781509008810

With the rapidly development of the face recognition (FR), thermal face recognition has received increasing attention. However, the traditional methods for thermal face recognition mainly concentrate on the hand-crafted feature design, which requires more efforts from human to select and extract features and usually has relatively lower recognition rate. In this paper, we present a convolutional neural network (CNN) architecture for thermal face recognition. CNN is a new type of neural network method which can automatically learn effective features from the raw data. Experiment results on RGB-D-T face database show that our proposed CNN architecture achieves higher recognition rate compared with the traditional recognition such as LBP, HOG and moments invariant.

关键词： Face recognition Convolution Feature extraction Face Artificial neural networks

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On outage of dual-hop relay SWIPT system with antenna selection and GSC over Nakagami-m fading channels

On outage of dual-hop relay SWIPT system with antenna select...

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International Conference on Communication Systems

作者： Danyang Wang Han Yu Jiliang Zhang Gaofeng Pan Hongjiang Lei Tingting Li Yunfei Chen Chongqing Key Laboratory of Nonlinear Circuits and Intelligent Information Processing SWU Chongqing China Chongqing Key Lab of Mobile Communications Technology CQUPT Chongqing China School of Mathematics and Statistics Southwest University Chongqing China School of Engineering University of Warwick Coventry UK

ISBN: (纸本)9781509034246

In this paper, a wireless powered dual-hop relay system, which consists of a source, a destination and a relay equipped with N R (N R > 1) receiving antennas, is considered. Antenna selection scheme is employed for the relay to harvest energy from the received signals, under which the L R (0 R ≤ N R ) strongest received signals are combined for information processing and the others L Z = N R - L R copies of signals are used for energy harvesting. Considering Nakagami-m fading scenarios, we first derive the closed-form expressions for the probability density function and the cumulative distribution function of the signal-to-noise ratio with ascending generalized selection combining, and then the closed-form analysis expression for the outage probability is derived. Finally, simulation results are presented to verify our proposed analysis model.

关键词： Relays Fading channels Diversity reception Receiving antennas Transmitting antennas IP networks Wireless communication

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