<?xml version="1.0" encoding="UTF-8"?>
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<title>信息技术－会议论文</title>
<link href="http://dspace.xmu.edu.cn/handle/2288/132" rel="alternate"/>
<subtitle>SISE－Conference Paper</subtitle>
<id>http://dspace.xmu.edu.cn/handle/2288/132</id>
<updated>2017-07-09T18:06:04Z</updated>
<dc:date>2017-07-09T18:06:04Z</dc:date>
<entry>
<title>A fast algorithm for sparse channel estimation via orthogonal matching pursuit</title>
<link href="http://dspace.xmu.edu.cn/handle/2288/87094" rel="alternate"/>
<author>
<name>Jiang, Xue</name>
</author>
<author>
<name>Zeng, Wen-Jun</name>
</author>
<author>
<name>Cheng, En</name>
</author>
<author>
<name>曾文俊</name>
</author>
<author>
<name>程恩</name>
</author>
<id>http://dspace.xmu.edu.cn/handle/2288/87094</id>
<updated>2015-09-15T02:28:47Z</updated>
<published>2011-01-01T00:00:00Z</published>
<summary type="text">A fast algorithm for sparse channel estimation via orthogonal matching pursuit
Jiang, Xue; Zeng, Wen-Jun; Cheng, En; 曾文俊; 程恩
Channels with a sparse impulse response arise in a variety of wireless communication applications, such as high definition television (HDTV) terrestrial transmission and underwater acoustic communications. By exploiting the sparsity of the channel, this paper proposes a fast algorithm for sparse channel estimation based on a greedy algorithm called orthogonal matching pursuit (OMP). The proposed fast OMP-based channel estimation algorithm has a low computational complexity of O(KN logN) with K and N the channel sparsity level and signal length, respectively. The fast OMP is competitive to the l 1-minimization based methods in terms of estimation accuracy. In addition, the fast OMP is faster and easier to implement. Therefore it is an attractive alternative to the l1-minimization approaches. Simulation results are provided to demonstrate the performance of the fast OMP algorithm. ? 2011 IEEE.
Conference Name:2011 IEEE 73rd Vehicular Technology Conference, VTC2011-Spring. Conference Address: Budapest, Hungary. Time:May 15, 2011 - May 18, 2011.
</summary>
<dc:date>2011-01-01T00:00:00Z</dc:date>
</entry>
<entry>
<title>An artificial-neural-network-based multiple classifier system for knee-joint vibration signal classification</title>
<link href="http://dspace.xmu.edu.cn/handle/2288/87097" rel="alternate"/>
<author>
<name>Wu, Yunfeng</name>
</author>
<author>
<name>Cai, Suxian</name>
</author>
<author>
<name>Lu, Meng</name>
</author>
<author>
<name>Krishnan, Sridhar</name>
</author>
<author>
<name>吴云峰</name>
</author>
<id>http://dspace.xmu.edu.cn/handle/2288/87097</id>
<updated>2015-09-15T02:28:49Z</updated>
<published>2011-01-01T00:00:00Z</published>
<summary type="text">An artificial-neural-network-based multiple classifier system for knee-joint vibration signal classification
Wu, Yunfeng; Cai, Suxian; Lu, Meng; Krishnan, Sridhar; 吴云峰
The knee-joint vibration or vibroarthrographic (VAG) signal could be used as an indicator with regard to the condition of degenerative articular cartilage surfaces of the knee joint. Analysis of VAG signals can assist in the screening for knee-joint pathology and help prevent unnecessary exploratory surgery. This paper proposes a multiple classifier system (MCS) based on artificial neural networks for the classification of VAG signals with statistical features. The multiple classifier system combines a group of component least-squares support vector machine classifiers with a linear and normalized fusion model. The fusion model minimizes the mean-squared error (MSE) of the MCS by solving the corresponding constrained quadratic programming problem, and the optimal weights are derived from the energy convergence process of a recurrent neural network. The results obtained with a data set of 89 VAG signals show that the proposed MCS can effectively reduce the classification error in terms of MSE. In addition, the proposed MCS also provides an area of 0.8230 under the receiver operating characteristics curve, which is much better in comparison with any one of the component networks with different input features, and also superior to the popular simple average or weighted average fusion method. ? 2011 Springer-Verlag.
Conference Name:2011 International Conference on Computer, Communication, Control and Automation, 3CA 2011. Conference Address: Zhuhai, China. Time:November 19, 2011 - November 20, 2011.; Asia Pacific Human-Computer Interaction Research Centre (APHCI)
</summary>
<dc:date>2011-01-01T00:00:00Z</dc:date>
</entry>
<entry>
<title>Research on key technologies of FPGA based power quality monitoring system</title>
<link href="http://dspace.xmu.edu.cn/handle/2288/87096" rel="alternate"/>
<author>
<name>Wang, Liang</name>
</author>
<author>
<name>Lu, Da</name>
</author>
<author>
<name>陆达</name>
</author>
<id>http://dspace.xmu.edu.cn/handle/2288/87096</id>
<updated>2015-09-15T02:28:49Z</updated>
<published>2011-01-01T00:00:00Z</published>
<summary type="text">Research on key technologies of FPGA based power quality monitoring system
Wang, Liang; Lu, Da; 陆达
For the advantages of high integration, low power consumption, flexible configuration programming and short development cycle, FPGA is more and more used in the embedded system design. A power quality monitoring system based on FPGA is presented. The system uses FPGA and Linux as the hardware and software platform, and the FTP protocol to get the sampled data. It is controlled by the network. The core of the system is the Fast Fourier Transform (FFT) that uses the non-recursive complex sequence FFT. Experimental results show that the test design based on the Spartan 3E500 platform is reliable and effective. Finally, the influence of Cache and multi-thread in the computation time is also analyzed. ? 2011 IEEE.
Conference Name:2011 IEEE International Conference on Computer Science and Automation Engineering, CSAE 2011. Conference Address: Shanghai, China. Time:June 10, 2011 - June 12, 2011.; IEEE Beijing Section; Pudong New Area Association for Computer; Pudong New Area Science and Technology Development Fund; Tongji University; Xiamen University
</summary>
<dc:date>2011-01-01T00:00:00Z</dc:date>
</entry>
<entry>
<title>Nonlinear control design of a hypersonic aircraft using sum-of-squares method</title>
<link href="http://dspace.xmu.edu.cn/handle/2288/87095" rel="alternate"/>
<author>
<name>Yang, Zhiling</name>
</author>
<author>
<name>Sun, Hongfei</name>
</author>
<author>
<name>孙洪飞</name>
</author>
<id>http://dspace.xmu.edu.cn/handle/2288/87095</id>
<updated>2015-09-15T02:28:49Z</updated>
<published>2011-01-01T00:00:00Z</published>
<summary type="text">Nonlinear control design of a hypersonic aircraft using sum-of-squares method
Yang, Zhiling; Sun, Hongfei; 孙洪飞
The main focus of this paper is on developing a state feedback nonlinear controller for a hypersonic aircraft using the Sum-Of-Squares (SOS) approach. The SOS technique allows the joint search of a Lyapunov function and a nonlinear controller using semidefinite programs. Different from the aproximate linearization and feedback linearization methords, the approach proposed in this paper cause less conservatism. Simulation results are presented to evaluate the stability and performance of the controller. ? 2011 Springer-Verlag.
Conference Name:2011 3rd International Asia Conference on Informatics in Control, Automation and Robotics, CAR 2011. Conference Address: Shenzhen, China. Time:December 24, 2011 - December 25, 2011.
</summary>
<dc:date>2011-01-01T00:00:00Z</dc:date>
</entry>
<entry>
<title>An improved method of congestion control based on TD-SCDMA system</title>
<link href="http://dspace.xmu.edu.cn/handle/2288/87093" rel="alternate"/>
<author>
<name>Zhou, Jianming</name>
</author>
<author>
<name>Hang, Lianfen</name>
</author>
<author>
<name>黄联芬</name>
</author>
<id>http://dspace.xmu.edu.cn/handle/2288/87093</id>
<updated>2015-09-15T02:28:49Z</updated>
<published>2011-01-01T00:00:00Z</published>
<summary type="text">An improved method of congestion control based on TD-SCDMA system
Zhou, Jianming; Hang, Lianfen; 黄联芬
TD-SCDMA is a self-interference system, in which congestion control plays a critical role in controlling the load of cells and stabilizing the system itself. On the basis of the common congestion control methods for TD-SCDMA system, this paper proposes an improved congestion control method. That is, to reduce the transmission rate progressively while estimating the load volume to be reduced. By measures like reducing the transmission rate progressively, re-allocating the code channels and forcing a handover, the improved method can increase the utilization rate of the resources while controlling the load of the system effectively. ? 2011 IEEE.
Conference Name:7th International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2011. Conference Address: Wuhan, China. Time:September 23, 2011 - September 25, 2011.; Wuhan University; Huazhong University of Science and Technology; Communication University of China; Jiangsu University; Engineering Information Institute
</summary>
<dc:date>2011-01-01T00:00:00Z</dc:date>
</entry>
</feed>
