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International Conference on Information, Communications and signal processing

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

ISBN: (纸本)9781467372190

This paper presents a novel permutation algorithm for solving the permutation ambiguity of frequency-domain BSS(Blind Source Separation). The proposed algorithm harnesses the characteristics that signals at adjacent frequency bins have a high similarity and utilizes Dynamic Time Warping (DTW) to compare this similarity in order to obtain an adjusting matrix at adjacent frequency bin. In real experimental environment, ASSNR(Average Segmental SNR) was utilized to evaluate the separation quality and the proposed method is found to improve the separation over the traditional criterions.

关键词： Heuristic algorithms Prediction algorithms Speech Time series analysis signal processing algorithms Time-frequency analysis

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Electrical detection of single particle in cylindrical solid-state nanopores

Electrical detection of single particle in cylindrical solid...

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IEEE Conference on Electron Devices and Solid-State Circuits

作者： Yu Zhang Jun Luo Yansong Liu Minquan Li Chao Zhao Chengjun Huang Key Laboratory of Intelligent Computing and Signal Processing Anhui University China Key Laboratory of Microelectronics Device and Integrated Technology Institute of Microelectronics of Chinese Academy of Science Beijing China

This paper presented a new technique for electrical detection of single nanoparticle in a cylindrical solid-state nanopore by measuring the blockage ionic current change. Both numerical and analytical models were developed to simulate and optimize the electrical responses of the device when a single particle was passing through the nanopore. The effects of different nanopore geometries on nanoparticle detection performance were discussed, which could provide guidelines for the device fabrications and nanoparticle detection applications.

关键词： Conferences Electron devices Solid state circuits

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An adaptive Spray and Wait routing algorithm based on Capability of Node in DTN

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Journal of Information and Computational Science 2014年第6期11卷 1975-1982页

作者： Wang, Guizhu Wang, Jie Wang, Bingting Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education Anhui University Hefei 230039 China

Delay Tolerant Network (DTN) is an intermittently connected network where there is no complete path from source to destination for most of the time, and routing becomes one of the most challenging and open problems in DTN. To deal with this issue and avoid random and blindfold forwarding in Binary Spray and Wait (BSW) routing, we present the concept of CoN (Capability of Node), then propose the CoN-ASW routing algorithm, which uses the CoN to calculate the number of message copies to be forwarded and determine whether to forward messages to the encounter node. The simulation results show that the proposed algorithm can significantly improve the delivery utility while enhancing delivery rate and reduce the overhead. © 2014 Binary Information Press.

关键词： Delay tolerant networks

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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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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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Design for the Parameters' Transfer of A Hybrid Real-Time Communication Network in TD-LTE

Design for the Parameters' Transfer of A Hybrid Real-Time Co...

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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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Dual band-notched ultra-wideband antenna based on U-shaped slit and split ring slot

Dual band-notched ultra-wideband antenna based on U-shaped s...

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Asia-Pacific Conference on Microwave

作者： Bo Tong Xianliang Wu Long Xiao Zhixiang Huang Key Laboratory of Intelligent Computing and Signal Processing Anhui University Hefei China Department of Physics and Electronic Engineering Hefei Normal University Hefei China

ISBN: (纸本)9781479987689

A novel ultra-wideband antenna (UWB) is designed in this paper, which has the property of simple structure, small size and dual band-notched function. By etching a semicircle-shaped aperture with three notched steps on the ground, additional resonance is excited, and hence much wider impedance bandwidth can be obtained. To generate dual band-notched characteristics, a split ring slot is employed on the radiating element and a U-shaped slit is added on the microstrip line. Simulated and measured results show that the proposed antenna efficiently restrains interference from narrow-band communication system, including WiMax, C-band satellite communication and the wireless local area network (WLAN). In addition, the proposed antenna achieves a good gain and has nearly omnidirectional radiation patterns on the transmission band, which make it a suitable candidate for UWB applications.

关键词： Ultra wideband antennas Antenna measurements Wireless LAN Antenna radiation patterns Etching Apertures

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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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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 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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