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Robust low-rank tensor factorization by cyclic weighted median

Science China(information Sciences) 2015年第5期58卷 145-155页

作者： MENG DeYu ZHANG Biao XU ZongBen ZHANG Lei GAO ChenQiang Institute for Information and System Sciences and Ministry of Education Key Lab for Intelligent Networks and Network Security Xi'an Jiaotong University Department of Computing Hong Kong Polytechnic University Chongqing Key Laboratory of Signal and Information Processing Chongqing University of Posts and Telecommunications

Low-rank tensor factorization(LRTF) provides a useful mathematical tool to reveal and analyze multi-factor structures underlying data in a wide range of practical applications. One challenging issue in LRTF is how to recover a low-rank higher-order representation of the given high dimensional data in the presence of outliers and missing entries, i.e., the so-called robust LRTF problem. The L1-norm LRTF is a popular strategy for robust LRTF due to its intrinsic robustness to heavy-tailed noises and outliers. However, few L1-norm LRTF algorithms have been developed due to its non-convexity and non-smoothness, as well as the high order structure of data. In this paper we propose a novel cyclic weighted median(CWM) method to solve the L1-norm LRTF problem. The main idea is to recursively optimize each coordinate involved in the L1-norm LRTF problem with all the others fixed. Each of these single-scalar-parameter sub-problems is convex and can be easily solved by weighted median filter, and thus an effective algorithm can be readily constructed to tackle the original complex problem. Our extensive experiments on synthetic data and real face data demonstrate that the proposed method performs more robust than previous methods in the presence of outliers and/or missing entries.

关键词： tensor factorization low-rank weighted median filter tensorface

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A 24-GHz single-to-differential LNA for K-band receiver applications

A 24-GHz single-to-differential LNA for K-band receiver appl...

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International Conference on Microwave and Millimeter Wave Technology Proceedings

作者： Baohong Liu Genhua Chen Ying Chen Nanchang Institute of Technology Nanchang Jiangxi Province China Jiangxi Province Key Laboratory of Water Information Cooperative Sensing and Intelligent Processing

In this paper, a 24 GHz single-to-differential LNA for K-band receiver applications is presented. The proposed 24 GHz single-to-differential LNA is composed of three stages: two cascode stages and one active balun stage. To reduce the power dissipation of the circuit, the first two-stage is utilized as single-end signal and the last stage is composed of common-source combined with common-gate to transform the single-end signal to differential signal. The proposed LNA is implemented through TSMC 0.18-μm 1P6M CMOS process. Simulation results show that the proposed LNA can get 18.4 dB voltage gain, 4.5 dB NF at 24 GHz with 11.8 mA current consumption. Comparison between this work and those published has been given for its feasibility. It's shown that this proposed LNA is very suitable for K-band receiver applications.

关键词： Impedance matching K-band Gain Noise measurement Power dissipation Receivers Topology

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Passive Localization of WiFi Client Based on Location Fingerprint

Passive Localization of WiFi Client Based on Location Finger...

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2016 3rd International Conference on Engineering Technology and Application（ICETA 2016）

作者： Guifu Yang Chenglin Pu Jingbo Zhang Zhenbang Liu Xiulin Huang Xiaoyu Xu Zhiqiang Ma School of Computer Science and Information Technology Northeast Normal University Key Laboratory of Intelligent Information Processing of Jinlin Universities Changchun Institute of Applied Chemistry Chinese Academy of Sciences

WiFi positioning is the most promising means of indoor positioning in the ***,most WiFi localization techniques can't meet the requirements of the criminal ***,there is a need to make a research on the passive *** paper mainly researched the passive location of WiFi client based on the location *** on the signal attenuation model,fingerprint location algorithm and promiscuous mode,an improved technique of passive positioning is ***,we conducted an in-depth research for the position of the fingerprint algorithm based on RSSI(Received signal Strength Indication).Then,we propose solutions to optimize the location fingerprint to reduce location time and calculation ***,simulation results and field test data show that symbolic positioning is good and physical positioning can reach high position accuracy.

关键词： WiFi localization location fingerprint identification passive location

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Bayesian network for motivation classification in creative computation

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Journal of information Hiding and Multimedia signal processing 2017年第4期8卷 888-902页

作者： Zhang, Fuquan Ding, Gangyi Xu, Lin Zheng, Xiaoyan School of Software Beijing Institute of Technology Room A9#301 Jiyuan Juyuan Jinshan Fuzhou350008 China Fujian Provincial Key Laboratory of Information Processing and Intelligent Control Minjiang University Room A9#301 Jiyuan Juyuan Jinshan Fuzhou350008 China School of Software Beijing Institute of Technology Room A9#301 Jiyuan Juyuan Jinshan Fuzhou350008 China Innovative Information Industry Research Institute Fujian Normal University Fuqing Brunch of Fujian Normal University Campus County 1# Longjiang Road FuqingFuzhou350300 China Foreign Language Institute Minjiang University Foreign Language Institute of Minjiang University Xiyuan Gong Road 200# Shangjie Minhou Fuzhou350121 China

This paper used clustered embedding features and language ontology to simulate the process of creative idea generation from human brain. Conventional creative idea generation used predefined motivation words. This study proposed a new motivation classification algorithm based on Bayesian network. We first applied the crawler algorithm to obtain motivation vocabulary corpus information. Bayesian network is applied to filter motivation words and project to a vector space for building information clustering model. Then we applied ontology theory to generating the phrase and sentence structure. By creative computing we try to discover how the idea comes from step by step and display the emergence, self-organization, self- coordination of idea creation process of human brain. From this paper, you will see the process in five steps from blurry motivations to clear creative ideas. © 2017, Ubiquitous International. All rights reserved.

关键词： Bayesian networks

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MULTIPLE SCATTERING EFFECTS ON THE LOCALIZATION OF TWO POINT SCATTERERS

MULTIPLE SCATTERING EFFECTS ON THE LOCALIZATION OF TWO POINT...

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IEEE International Conference on Acoustics, Speech and signal processing

作者： Gang Shi Arye Nehorai Hongwei Liu Bo Chen Yuehai Wang State Key Laboratory of Integrated Services Networks Xidian University Green Department of Electrical and Systems Engineering Washington University in St. Louis National Lab of Radar Signal Processing Xidian University Institute of Information and Communication Engineering Zhejiang University

ISBN: (纸本)9781479999897

Multiple scattering effects are commonly ignored in the detection and estimation of scatterers in signal processing research, because the energy of the first-order scattering is much larger than that of higher-order components. Although multiple scattering can significantly increase the estimation precision of point scatterers, it does not always lead to an improvement. Identifying conditions under which multiple scattering is beneficial or detrimental to estimation in a general setup is still an open problem. In this paper, we consider the effects of multiple scattering on the localization of two point scatterers. By comparing the Fisher information matrix on location parameters when multiple scattering exists and does not exist, we show analytically that information on ranges can benefit estimating directions of arrival via multiple scattering when the two scatterers are in far-field and well resolved.

关键词： Multiple Scattering Fisher information Cramér-Rao Bound Estimation Artificial Scatterer

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SAR Image Despeckling Using Scale Mixtures of Gaussians in the Nonsubsampled Contourlet Domain

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Chinese Journal of Electronics 2015年第1期24卷 205-211页

作者： CHANG Xia JIAO Licheng LIU Fang SHA Yuheng Institute of Image Processing and Understanding School of Mathematics and Information Science Beifang University of Nationalities Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education of China International Research Center for Intelligent Perception and Computation Xidian University School of Computer Science and Technology Xidian University

The edge and contour details in SAR images are important for subsequent processing tasks. The multiscale geometric analysis method — Nonsubsampled contourlet transform(NSCT) is able to capture the geometric information of SAR images effectively. Describing the aggregation behavior of the neighborhoods coefficients, the scale mixtures of Gaussians model has exhibited favorable performances. A novel SAR image despeckling method is presented by constructing the scale mixtures of Gaussians model of NSCT. This method models the SAR images using the multiscale and multidirection information in NSCT domain. The dependency relationship of NSCT neighborhoods coefficients are also taken into consideration in our model. The speckle noise coefficients are shrinkaged by statistical prior estimation based on SAR image model constructed. Experimental results demonstrate that our method is advantageous at directional information preservation and the speckle restraint.

关键词： Synthetic aperture radar(SAR) image despeckling Stationary wavelet transform Nonsubsampled contourlet transform Scale mixtures of Gaussians model.

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Design of chinese natural language in fuzzy boundary determination algorithm based on big data

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Journal of information Hiding and Multimedia signal processing 2017年第2期8卷 423-434页

作者： Zhang, Fu Quan Mao, Zi Jing Ding, Gang Yi Xu, Lin School of Software Beijing Institute of Technology Beijing100081 China Fujian Provincial Key Laboratory of Information Processing and Intelligent Control Minjiang University Fuzhou350121 China Via Room A9#301 Juyuan JiyuanFuzhou350008 China Department of Electrical Engineering University of Texas at San Antonio One UTSA Circle San AntonioTX78249 United States Via Arrow Oaks 126 San AntonioTX78249 United States Beijing Institute of Technology Via Room 611 Software Building 5 South Zhongguancun Street Haidian Beijing100081 China Innovative Information Industry Research Institute Fujian Normail University Fuzhou350300 China Via Fuqing Brunch of Fujian Normal University Campus County 1# Longjiang Road FuqingFuzhou350300 China

In this study, we proposed a new method to determine the fuzzy boundary of natural language based on big data. According to the principle of natural language recognition, the acoustic characteristics of the analysis, natural language acoustic model and statistical model is established, Viterbi decoding algorithm has been applied for natural language decoding, and take this as the basis, we implemented deep learning methods for natural language feature extraction, and used the support vector machine method for classification, according to the characteristics of natural language significant division, in accordance with the constraints, combined with large data analysis method, to determine the natural language fuzzy boundary. Experimental results indicate that using the proposed method, compared with existing methods the recall and accuracy rate have been improved. © 2017 ISSN.

关键词： Big data

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An efficient FFT-mapping method based on cache optimization

An efficient FFT-mapping method based on cache optimization

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IET International radar Conference 2015

作者： Zhu, Liang Liu, Tengfei Gao, Lining Wang, Jingyang Radar Research Laboratory School of Information and Electronics Beijing Institute of Technology Beijing China Beijing Key Laboratory of Embedded Real-time Information Processing Technology Beijing Institute of Technology Beijing China

ISBN: (纸本)9781849199940

Fast Fourier Transform (FFT) is an important technology in real-time signal processing system, which means the efficiency of FFT algorithm mapping to hardware system has very important significance. At first, we aim at the FFT execution process on processor. And then analyze the memory access process based on cache mechanism, and get that the cache hit directly affects FFT execution time. Hence, an efficient mapping method is come up with, which splits long FFT into multiple segments to make sure every segment is shorter than the cache capacity. Accordingly, the cache hit rate will be improved, correspondingly, the execution efficiency will be better finally. In the end, the new method is experimented on the A DI's TS201 digital s ignal proces s or, and the res u lt s hows that the execution time of FFT is improved greatly.

关键词： Fast Fourier transforms

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Estimation method of coherent efficiency of distributed coherent aperture radar based on cross-correlation

Estimation method of coherent efficiency of distributed cohe...

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IET International radar Conference 2015

作者： Yin, Pilei Yin, Wen Li, Hui Liang, Zhennan Liu, Zhengcheng Liu, Quanhua Radar Research Laboratory Beijing Institute of Technology Beijing100081 China Beijing Key Laboratory of Embedded Real-Time Information Processing Technology Beijing100081 China

ISBN: (纸本)9781849199940

Estimation error of coherent parameter will decrease the coherent performance of distributed coherent aperture radar (DCAR). The evaluation of coherent performance in real time will determine the subsequent work mode of the DCAR. Therefore, a real-time monitoring method of coherent performance should be researched to establish a closed-loop workflow system. In this paper, an estimation method of coherent efficiency of DCAR based on cross correlation is proposed. Firstly, the transmitting coherent efficiency and the receiving coherent efficiency are defined via the cross correlation, which are the composition of full coherent efficiency. In the following, the received echo is modified by unit radar according to coherent parameters, and then the coherent performance is estimated by cross correlating the transmit signal and the modified echo signal. In the end, the simulation is carried out and verifies the effectiveness of the proposed method.

关键词： Efficiency

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High range resolution processing based on multi-band Beidou-2 direct signals

High range resolution processing based on multi-band Beidou-...

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IET International radar Conference 2015

作者： Zeng, Tao Tian, Weiming Wang, Jingyang Zhang, Tian Radar Research Laboratory School of Information and Electronics Beijing Institute of Technology Beijing China Beijing Key Laboratory of Embedded Real-Time Information Processing Technology Beijing Institute of Technology Beijing China

ISBN: (纸本)9781849199940

Synthetic aperture radar (SAR) systems have been successful in applications of monitoring stationary terrain. Recently, bistatic SAR systems using GNSS satellites as illu - minates attract intensive attentions in the research field of SAR. Due to the abundant frequency resources of GNSS systems, high resolution synthetic technology in range dimension is of great significance to make full use all of these resources. This paper presents a high resolution synthetic technology in range dimension, which can be used to process general signals obtained by radar systems. In this paper, GNSS signal is considered particularly and that method is modified to deal with GNSS signals. Then an experiment is carried out by Beidou-2 satellites system. The experiment result shows that this method is quite useful to Beidou-2 direct signals and the feasibility and effectiveness of this algorithm is verified.

关键词： Synthetic aperture radar

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