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Neural Network Based on Different Error Functions for Solving Linear System of Equations
WANG Sicheng,XIAO Lin,YAN Huiling
Journal of Jishou University(Natural Sciences Edition) DOI:
10.3969/j.cnki.jdxb.2016.06.006
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Parameter Estimation Based a Conjugate Gradient Iteration Algorithm for Controlled Autoregressive Models
HU Zhizeng,LIANG Kaifu
Journal of Jishou University(Natural Sciences Edition) DOI:
10.3969/j.cnki.jdxb.2016.06.007
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Imaging Method for Squint SAR with Sparse Down Sampling Data
CHEN Yichang,HU Jing
Journal of Jishou University(Natural Sciences Edition) DOI:
10.3969/j.cnki.jdxb.2016.06.008
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An Improved RFID Authentication Protocol for Asynchronous Attack
ZHANG Bo, NAN Shu-Ping , MENG Li-Jun
journal6 2015, 36 (
5
): 30-34. DOI:
10.3969/j.cnki.jdxb.2015.05.007
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2392
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To ensure the security of RFID tags and reduce the loss by aggressive behavior,this paper presents an improved RFID authentication protocol.When the tag is asynchronously attacked,through the randomly written seed number,asymmetric keys is produced,and after the verification with the key pre-reserved in the backend database,the attacked tag is recovered to the synchronous state,thereby reducing the risk of tag data leakage and ensuring data security of RFID systems.
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Design of Virtual Experiment Platform of Remote Random Signal Analysis Based on the Matlab Web Server
YANG Shi-Jiang, YANG Xi, ZHANG Yin-Xing
journal6 2015, 36 (
5
): 35-38. DOI:
10.3969/j.cnki.jdxb.2015.05.008
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1867
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Using Matlab as the software development platform,a design scheme of remote virtual laboratory platform of the course Random Signal Analysis and Processing is proposed.Through accessing the components of MATLAB Web Server via Internet,this program allows the users to take remote simulation experiments based on the client browser.Taking the example of LMS-based adaptive channel equalizer,this paper introduces the implementation procedures of this program.The simulation result demonstrates the effectiveness of the proposed method.
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Analysis on MRI Image Parameter Reconstruction Based on Split Bregman Algorithm
LIU Mei, LIAO Bai-Lin
journal6 2015, 36 (
5
): 39-44. DOI:
10.3969/j.cnki.jdxb.2015.05.009
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2683
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The emerging compressed sensing (CS) theory,which includes the incoherent measurement matrix,sparse representation,and nonlinear signal reconstruction,has been employed in the magnetic resonance imaging (MRI).This paper focuses on Split Bregman algorithm which transforms the problem of convex relaxation to the problem of convex optimization.The main advantages of Split Bregman lie in its high computational efficiency and its capacity to solve multi-regularized inverse problem with high accuracy in MRI reconstruction.The function and tuning mechanism of regularization parameters are analyzed theoretically firstly,and then the influences of tuning the regularization parameters on the convergence accuracy and speed are investigated.In this way,the guidelines are provided for choosing suitable parameters in practical applications.
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Study of BER Performance Simulation in SFH/MFSK Communication System over AWGN Channel
TIAN Xiao-Wen
journal6 2015, 36 (
5
): 45-47. DOI:
10.3969/j.cnki.jdxb.2015.05.010
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2301
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The anti-jamming performance of slow frequency hopping(SFH) communication system is better that that of fast frequency hopping(FFH) communication system.Based on SFH communication principle,the BER performances of SFH/MFSK communication system are analyzed in the ideal synchronic AWNG channel.Through simulation tool Matlab/Simulink,BER-SNR curves are obtained,and the theoretical analysis is verified.
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Time-Frequency Spectrogram Segmentation Using the Multi-Scale Morphological Gradient and the Marked Watershed Algorithm
GUO Hai-Tao, XU Lei, ZHAO Hong-Ye, TIAN Yuan-Yuan, JIAO Sheng-Xi
journal6 2015, 36 (
4
): 12-17. DOI:
10.3969/j.cnki.jdxb.2015.04.004
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It is important and difficult to segment a time-frequency spectrogram due to its strong interference as well as serious overlap among targets and between targets and interference.An image entropy based fusion method for multi-scale morphological gradient image of a time-frequency spectrogram is presented.By combining that method with the marked watershed algorithm,a method for segmenting time-frequency spectrogram based on the multi-scale morphological gradient image and the marked watershed algorithm,is obtained.The experiment results show that it is more practical than the segmentation method which is based on single scale morphological gradient and marker watershed,and more accurate than Otsu method.
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Communication and Display Processing for the Real-Time Monitoring Application Based on Spring4+HTML5
DING Zhen-Fan
journal6 2015, 36 (
4
): 18-22. DOI:
10.3969/j.cnki.jdxb.2015.04.005
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In view of message pushing and display processing problems in the remote data monitoring application for the production line in one enterprise,this paper proposes an implementation scheme based on HTML5 and the Spring framework 4.WebSocket technology is used for the message transfer on the two way communication between the web browser and Web server.The Spring WebSocket service configuration and the processing scheme for message pushing are studied.The creation of SockJS connection between the client and server and the processing method for STOMP message publishing/subscription are described.By providing the REST style Web services with the messages pushing process,it is convenient for the caller to publish message.The system adopts Canvas in HTML5 for the real time data display processing,thus achieving the effect of displaying curves of various colors in the same screen.The Spring4+HTML5 scheme has the advantages of easy configuration,flexible application and efficient operation and can get satisfactory practical effects.
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Sparse Signal Reconstruction Algorithm Based on Subspace Pursuit
LI Shu, MAO Cheng-Min, YANG Xi, YIN Li, LIANG Jun
journal6 2015, 36 (
4
): 23-25. DOI:
10.3969/j.issn.1007-2985.2015.04.006
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2216
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Signal reconstruction algorithm plays an important part in the theory of compressive sensing and determines the reconstruction quality of compressive sensing.In this paper,based on the subspace pursuit(SP) algorithm,the signal is reconstructed after sparse representation and compression by the measurement matrix.Theoretical analysis and experimental results show that subspace pursuit algorithm can maintain good effect of signal reconstruction at higher compression ratio.
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Design of P2P Traffic Management Model Based on SVM
DU Jing-Wei
journal6 2015, 36 (
4
): 26-29. DOI:
10.3969/j.cnki.jdxb.2015.04.007
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2256
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Network traffic recognition of P2P is one of the significant problems in P2P research.A classification management model based on SVM for P2P is thus proposed for its management.Firstly,the data is obtained from P2P network traffic;then the obtained sample data is input to the SVM for training;finally,the test sample is input to the SVM to realize its classification.The simulation experiment shows the method in this paper has the high detection rate and low false negative rate.
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