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International Symposium on Computational Intelligence and Design, ISCID

作者： Wanyu Cai Yanjun Hu Haowen Wang Key laboratory of Intelligent Computing & Signal Processing Ministry of Education Anhui University Hefei China Shanghai Research Center for Wireless Communications Shanghai China

ISBN: (纸本)9781467395885

In TD-LTE test verification system, a proper method is needed for the parameters' transfer, which is based on software and hardware co-simulation platform. In this paper, the hybrid Real-Time communication network, which is composed of TCP/IP protocol, UDP protocol and reflective memory technology on account of hardware board, was built and a loopback test system between system simulation and link system for parameters' interface has been formed. The entire system has realized the sending and receiving of the parameters, which is fast, scalable and flexible link by either the optical fibers or LAN cable. Results show that the latency of the data could prove the key microsecond-level delay. That not only ensures the complex Real-Time of communication system, but also does not lose the parameters' information of the whole system.

关键词： Real-time systems Hardware Protocols Delays Servers TCPIP Field programmable gate arrays

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Independent component analysis combined with compressed sensing for EEG compression in BCI

Independent component analysis combined with compressed sens...

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International Conference on Information, Communications and signal processing

作者： Bangyan Zhou Xiaopei Wu Zhao Lv Lei Zhang Chao Zhang Ministry of Education Key Laboratory of Intelligent Computing & Signal Processing Co-Innovation Center for Information Supply & Assurance Technology Anhui University Hefei China

Considering the limitation of hardware requirement and power dissipation in wearable brain-computer interface (BCI), the electroencephalogram (EEG) data compression implemented by independent component analysis (ICA) combined with compressed sensing (CS) is proposed in this paper. A simple and effective ICA spatial filtering method is used to obtain motor related independent components (MRICs). Furthermore, CS algorithm is introduced to compress MRICs, which have advantage of frequency sparse. So the proposed scheme can make few MRICs compressed transmission instead of the multi-channel EEG data transmission. Based on the measured motor imagery EEG data, the proposed EEG compression scheme is compared with the traditional CS compression scheme. The experimental results show that, the two system schemes have the similar classification accuracy. However, in the proposed compression scheme, the amount of transmission data can be reduced by 75%.

关键词： Electroencephalography Biomedical monitoring Image reconstruction Image coding signal processing algorithms Electrodes Dictionaries

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An improved precoding of Approximative Matrix Inverse Computations based on norm minimization algorithm in massive MIMO system

An improved precoding of Approximative Matrix Inverse Comput...

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IEEE International Conference on Progress in Informatics and computing (PIC)

作者： Hongliu Tu Yanjun Hu Yaohua Xu Fengrong Li Key laboratory of Intelligent Computing & Signal Processing Ministry of Education Anhui University Hefei China Key Laboratory of Wireless Sensor Network & Communication Chinese Academy of Sciences Shanghai China

In massive multiple-input multiple-output (MIMO) system, scaling up the antennas of base station (BS) has a clear benefit on sum rate and energy efficiency, but the signal processing complexity can be very high and many algorithms cannot be implemented in practice for high hardware cost. Approximative Matrix Inverse Computations (AMIC) algorithm is a kind of low-complexity precoding for large multiuser MIMO systems, but the Bite Error Rate (BER) performance is shown to be not better than the classical MMSE precoding. To improve the BER performance of AMIC algorithm, in this paper, we use norm minimization algorithm to change the coefficient of the precoding matrix to improve the BER performance of AMIC algorithm. It can verify that the proposed algorithm can achieve better BER performance than the AMIC algorithm by using only a limited number of Neumann series iterations, and keep lower complexity. The proposed scheme is a compromise solution between complexity and BER performance.

关键词： Approximation algorithms Antennas Bit error rate Precoding signal to noise ratio

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Improved Anti-Occlusion Target Tracking Algorithm Based on Compressive Particle Filtering

Improved Anti-Occlusion Target Tracking Algorithm Based on C...

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International Symposium on Computational Intelligence and Design, ISCID

作者： Yaohua Xu Xiaoli Jiang Fengrong Li Key laboratory of Intelligent Computing & Signal Processing Ministry of Education Anhui University Hefei China Key Laboratory of Wireless Sensor Network & Communication Chinese Academy of Sciences Shanghai China

ISBN: (纸本)9781467395885

In order to resolves the problem of occlusion in process of target tracking, an improved anti-occlusion tracking algorithm was proposed in this paper based on compressive particle filtering (CPF). Compressive sensing theory was introduced into particle filter (PF) framework to ensure the instantaneity of tracking. We apply the histogram with spatial information and sub-part matching ideas in the compressive particle filtering algorithm to enhance the robustness of tracking when the target was blocked by barriers. In this approach, we adopt different strategies to tracking target when the target was occluded or not. When the target was occluded, tracking it by compressive particle filtering algorithm based on sub-part matching and updating the target templates to fits the change of target appearance, otherwise, tracking it by the general compressive particle filtering algorithm. This approach bring about better robustness and tracking speed compared with the particle filtering algorithm and compressive tracking algorithm.

关键词： Target tracking Filtering Histograms Color signal processing algorithms Compressed sensing Robustness

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Speech intelligibility enhancement using convolutive non-negative matrix factorization with noise prior

International Journal of Multimedia and Ubiquitous Engineeri...

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International Journal of Multimedia and Ubiquitous Engineering 2014年第7期9卷 73-86页

作者： Zhou, Jian Fang, Xianyong Tao, Liang Zhao, Li Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education Anhui University 230601 Hefei China Key Laboratory of Underwater Acoustic Signal Processing of Ministry of Education Southeast University 210096 Nanjing China

We propose a convolutive non-negative matrix factorization method to improve the intelligibility of speech signal in the context of adverse noise environment. The noise bases are prior learned with Non-negative Matrix Factorization (NMF) algorithm. A modified convolutive NMF with sparse constraint is then derived to extract speech bases from noisy speech. The divergence function is selected as an objective function to get a multiplicative update of speech base and its corresponding weight. The weights of prior learned noise bases are also updated in the update rule. Listening experiments are conducted to assess the intelligibility performance of speech synthesized using the proposed algorithm. Experimental results indicate that the proposed method is very effective to improve the intelligibility of the noisy speech in various noise contexts and it outperforms conventional algorithms. © 2014 SERSC.

关键词： Non-negative matrix factorization

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A novel high-capacity reversible data-hiding scheme using two steganographic images

A novel high-capacity reversible data-hiding scheme using tw...

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International Conference on BioMedical Engineering and Informatics (BMEI)

作者： You-Jing Lu Wan-Li Lyu School of Computer Science and Technology Anhui University Hefei China Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education Anhui University Hefei China

This paper proposes a novel reversible data-hiding scheme utilizing two steganographic images. The proposed method is able to hide more secret messages than other messages by studying the characters of embedded messages. We transformed the form of the secret message byte from 8 binary bits to 7-base digits, which was departed to 3-digit planes to allow for hiding more secret messages through use of an extensional key matrix M*. The horizontal and vertical coordinate of the key matrix M* ranges are from 0 to 255. Therefore, we use the pixel pairs in a cover image to help hide secret message bytes in the method proposed. In key matrix M*, a point can be located by a horizontal coordinate and a vertical coordinate, which are the exact paired pixels. After embedding data by using the coordinates in the key matrix and then obtaining two stego images, we can recover the cover image after extracting the embedded data. Experiments show that the method proposed can hide more pixels in an image and recover the image accurately with only a tiny decrease in image quality.

关键词： Image quality Visualization Histograms Mathematical model Data mining Matrix converters Computer science

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An Improved Precoding of Approximative Matrix Inverse Computations Based on Norm Minimization Algorithm in Massive MIMO System

An Improved Precoding of Approximative Matrix Inverse Comput...

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2015 IEEE International Conference on Progress in Informatics and computing(PIC 2015)

作者： Hongliu Tu Yanjun Hu Yaohua Xu Fengrong Li Key laboratory of Intelligent Computing & Signal Processing Ministry of Education Anhui University Key Laboratory of Wireless Sensor Network & Communication Shanghai Institute of Microsystem and Information TechnologyChinese Academy of Sciences

In massive multiple-input multiple-output（MIMO） system, scaling up the antennas of base station（BS） has a clear benefit on sum rate and energy efficiency, but the signal processing complexity can be very high and many algorithms cannot be implemented in practice for high hardware cost. Approximati ve Matrix Inverse Computations（AMIC） algorithm is a kind of lowcomplexity precoding for large multiuser MIMO systems, but the Bite Error Rate（BER） performance is shown to be not better than the classical MMSE precoding. To improve the BER performance of AMIC algorithm, in this paper, we use norm minimization algorithm to change the coefficient of the precoding matrix to improve the BER performance of AMIC algorithm. It can verify that the proposed algorithm can achieve better BER performance than the AMIC algorithm by using only a limited number of Neumann series iterations, and keep lower complexity. The proposed scheme is a compromise solution between complexity and BER performance.

关键词： Massive MIMO linear precoding algorithm approximative matrix inverse norm minimization

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A distributed high-rate and low-detection complexity cooperative relay transmission scheme

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Journal of Information and Computational Science 2014年第18期11卷 6591-6599页

作者： Xu, Lei Jiang, Ran Zhang, Gongquan Zou, Mingquan Li, Xiaohui Key Lab of Intelligent Computing and Signal Processing of Ministry of Education Anhui University Hefei China

Since the existing full-rate cooperative transmission schemes have a serious defect in low Bit Error Rate (BER) performance while the existing high-rate cooperative transmission schemes have a serious defect in low spectral efficiency, a distributed high-rate cooperative relay transmission scheme based on full-rate cooperative communication model is proposed in this paper, in which Cyclic Delay Diversity (CDD) technology and Linear Constellation Precoding (LCP) technology are employed. Moreover, the proposed scheme addresses the issue of obtaining maximum spatial and multipath diversity with low decoding complexity and high transmission reliability. The BER performance of the proposed scheme is contrasted to that of the full-rate transmission scheme where better performance is achieved, and is improved when the number of the multipath or the relay nodes increases.

关键词： Bit error rate

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A mixed structure of full-rate and low-detection complexity cooperative relay transmission scheme

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Journal of Computational Information Systems 2014年第21期10卷 9339-9349页

作者： Jiang, Ran Meng, Fanzhi Li, Xiaohui Key Lab of Intelligent Computing and Signal Processing of Ministry of Education Anhui University Hefei China

Since the single-antenna relay cooperative communication systems have a serious defect in reliability of data transmission, while the MIMO communication systems have difficulty in design and decoding, we propose a mixed structure of full-rate and low-detection complexity cooperative relay transmission scheme based on full-rate relay cooperative transmission model, which combines the advantages of cyclic delay diversity (CDD) technology and linear constellation precoding (LCP) technology. This scheme can excavation diversity gain by using single antenna terminal and multiple antenna simultaneously, moreover, the decoding complexity is low. The bit error rate (BER) performance is improved with the number of the antenna or the multipath or the relay nodes increases.

关键词： Cooperative communication

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An improved entity similarity measurement method

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Telkomnika (Telecommunication computing Electronics and Control) 2014年第4期12卷 1017-1022页

作者： Lv, Gang Zheng, Cheng Chen, Sheng-Bing Key of Intelligent Computing and Signal Processing Ministry of Education Anhui University Hefei Anhui China Key Laboratory of Network and Intelligent Information Processing Hefei University Hefei Anhui China

To facilitate the integration of learning resources categorized under different ontology representations, the techniques of ontology mapping can be applied. Though many algorithms and systems have been proposed for ontology mapping, they do not have an automatic weighting strategy on class features to automate the ontology mapping process. A novel method of computing the feature weights is proposed. By feature semantic analysis, the different entities similarity calculation model and weight calculation model were defined. The results show that it makes the ontology mapping process more automatic while retaining satisfying accuracy. Improve ontology mapping effectiveness.

关键词： Semantics

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