检索结果-内蒙古大学图书馆

Semi-supervised clustering of corner-oriented attributed graphs

Semi-supervised clustering of corner-oriented attributed gra...

6th International Conference on Hybrid intelligent Systems and 4th Conference on Neuro-computing and Evolving Intelligence, HIS-NCEI 2006

作者： Tang, Jin Zhang, Chunyan Luo, Bin Key Lab. of Intelligent Computing and Signal Processing Anhui University 230039 China

ISBN: (纸本)0769526624

This paper describes a new algorithm for image semi-supervised clustering. In particular, the proposed approach introduces corner-oriented attributed graphs(COAG) constructed based on modified Harris corner extraction method to represent structure objects . 2D-Laplacianface is used to reduce the dimension of feature matrix obtained from COAG. Feature vector is built just from the output of dimensionality reduction. This vector denotes the input to the classifier. Semisupervised k-mean clustering method (S2KMCM) is carried out as semi-clustering method. Experimental results show that COAG can preserve the structure information of image and S2KFCM can be applied to both clustering and classification tasks by labeled and unlabeled data together. © 2006 IEEE.

关键词： Graph theory

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Shape representation and distance measure based on relational graph

Shape representation and distance measure based on relationa...

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6th International Conference on Hybrid intelligent Systems and 4th Conference on Neuro-computing and Evolving Intelligence, HIS-NCEI 2006

作者： Tang, Jin Zhang, Chunyan Luo, Bin Key Lab. of Intelligent Computing and Signal Processing Anhui University 230039 China

ISBN: (纸本)0769526624

Nowadays, the efficient representation of a given shape plays a significant role in pattern recognition field. In this paper, we introduce a novel method to represent 2-D shape as a relation graph which using affine-invariant Fourier. This presentation method has invariance properties, such as scaling, shifting, rotation and starting point. Then edit distance is used to measure the distance between graphs. Embedding and recognition experiments are carried out to test the performance of affine-invariant Fourier based weighted graph(AFWG). Experimental results show that AFWG can preserve the shape feature well and can be applied to shape-related application. © 2006 IEEE.

关键词： Graph theory

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A graph and PNN-based approach to image classification

A graph and PNN-based approach to image classification

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International Conference on Machine Learning and Cybernetics, ICMLC 2005

作者： Tang, Jin Zhang, Chun-Yan Luo, Bin Key Lab of Intelligent Computing and Signal Processing Anhui University Hefei 230039 China

ISBN: (纸本)078039092X

In this paper, a new image classification method is developed. This approach applies graph decomposition and probabilistic neural networks(PNN) to the task of supervised image classification. We use relational graphs to represent image. These graphs are constructed from the feature points of images. Spectra of these graphs will be obtained as feature vectors for classification. PNN is adopted to classifies image according to the feature vectors. Experimental results show that this method can achieve best result of images classification. ©2005 IEEE.

关键词： Image segmentation

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Localization Optimization Algorithm of Maximum Likelihood Estimation Based on Received signal Strength 9

Localization Optimization Algorithm of Maximum Likelihood Es...

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2017 9th IEEE International Conference on Communication Software and Networks (ICCSN 2017)

作者： Jun Zhu Qiang Chen Jingjing Zhang Key Lab of Intelligent Computing and Signal Processing Ministry of Education School of Electronics and Information Engineering Anhui University

ISBN: (纸本)9781509038237;9781509038220

In this paper, we propose a method to improve localization algorithm of maximum likelihood estimation;the localization scheme relies on the distance threshold. In order to suppress effectively the effects of received signal strength error to node localization precision. This paper presents an indoor localization algorithm based on received signal strength to select anchor nodes. Compared with the traditional localization algorithm, this scenario not only improve the localization accuracy, but also reduce the calculation complexity of nodes. The simulation results show that the average error of the proposed method is less than 0.15 m. Moreover, when there are a large number of anchor nodes, the computational complexity is effectively reduced. Verification result verifies the effectiveness and reliability of the algorithm.

关键词： localization received signal strength(RSS) maximum likelihood estimation(MLE) least squares threshold

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Speaker Recognition Based on the Improved Double-Threshold Endpoint Algorithm and Multistage Vector Quantization 9

Speaker Recognition Based on the Improved Double-Threshold E...

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2017 9th IEEE International Conference on Communication Software and Networks (ICCSN 2017)

作者： Jun Zhu Jingjing Zhang Qiang Chen Peipei Tu Key Lab of Intelligent Computing and Signal Processing Ministry of Education School of Electronics and Information Engineering Anhui University

ISBN: (纸本)9781509038237;9781509038220

The traditional double-threshold endpoint detection method has the phenomenon of missing detection. Therefore, the speech recognition(SR) system based on vector quantization(VQ) in this paper proposes an improved algorithm for this phenomenon, which effectively avoids the problem of missing detection. Then, Mel Frequency Cepstral Coefficients(MFCC) is used to extract the characteristic parameters of the speech signal, and the multistage vector quantization is used to quantify the characteristic parameters. Experimental results show that, the proposed algorithm improves the recognition rate of the text-independent speaker recognition system by 8.7%, and it also confirms that the longer the training speech is, the higher the recognition rate will be.

关键词： the multistage vector quantization MFCC double-threshold endpoint detection method missing detection characteristic parameters

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Study on moving target detection to passive radar based on FM broadcast transmitter

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Journal of Systems Engineering and Electronics 2007年第3期18卷 462-468页

作者： Zhu Jiabing Tao Liang Hong yi Education Ministry Key Lab of Intelligent Computing and Signal Processing Anhui Univ. Hefei 230039 P. R. China Inst. of Signal Processing East China Research Inst. of Electronic Engineering Hefei 230031 P. R. China

Target detection by a noncooperative illuminator is a topic of general interest in the electronic warfare field. First of all, direct-path interference （DPI） suppression which is the technique of bottleneck of moving target detection by a noncooperative frequency modulation（FM） broadcast transmitter is analyzed in this article; Secondly, a space-time-frequency domain synthetic solution to this problem is introduced： Adaptive nulling array processing is considered in the space domain, DPI cancellation based on adaptive fractional delay interpolation （AFDI） technique is used in planned time domain, and long-time coherent integration is utilized in the frequency domain; Finaily, an experimental system is planned by considering FM broadcast transmitter as a noncooperative illuminator, Simulation results by real collected data show that the proposed method has a better performance of moving target detection.

关键词： passive radar direct path interference adaptive beamforming adaptive fractional delay interpolation,long-time coherent integration.

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Linear Frequency Modulated signal Denoising Based on Symplectic Geometric Mode Decomposition and Block Thresholding 23

Linear Frequency Modulated Signal Denoising Based on Symplec...

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23rd IEEE International Conference on Communication Technology, ICCT 2023

作者： Ni, Jincheng Zhao, Jin Wu, Xianliang AnHui University Key Lab of Intelligent Computing & Signal Processing Ministry of Education Heifei China

ISBN: (纸本)9798350325959

In this paper, a novel and comprehensive signal denoising method is proposed by combining Symplectic Geometric Modal Decomposition (SGMD) and Block Thresholding denoising. The proposed approach involves a three-step process: first, the signal is decomposed into a set of Symplectic Geometric Components (SGCs) using SGMD. Subsequently, each SGC is subjected to Block-Thresholding denoising. Finally, the denoised SGCs are recombined to obtain the denoised linear frequency modulation (LFM) signal. The experimental verification demonstrates the effectiveness of the SGMD-BT method in denoising LFM signals. This novel approach offers a fresh solution for the processing and analysis of LFM signals, holding significant application potential and research importance. © 2023 IEEE.

关键词： Block Thresholding denoising signal denoising Symplectic Geometric Modal Decomposition

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Enhanced Symplectic Geometric Mode Decomposition via K-means Clustering for LFM signal Denoising 7

Enhanced Symplectic Geometric Mode Decomposition via K-means...

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7th IEEE International Conference on Electronic Information and Communication Technology, ICEICT 2024

作者： Ni, Jincheng Zhao, Jin Wu, Xianliang Wu, Ping AnHui University Key Lab of Intelligent Computing & Signal Processing Ministry of Education Hefei China

ISBN: (纸本)9798350384437

This article presents a Symplectic Geometric Mode Decomposition (SGMD) method incorporating K-means clustering, coupled with wavelet denoising, for mitigating noise in Linear Frequency Modulation (LFM) signals. This method substitutes the original component recombination approach in SGMD with the K-means clustering algorithm, thus rendering the signal grouping more logically coherent. In the experiment, we compare the method proposed in this article with other denoising methods. The experimental findings demonstrate substantial advantages of the proposed method in mitigating noise in LFM signals, thereby enhancing both signal-to-Noise Ratio (SNR) and signal quality. The research outcomes underscore the feasibility and substantial potential of this method in mitigating noise in signals. In subsequent studies, additional investigation into its applicability across diverse domains can be pursued alongside the refinement of clustering and denoising algorithms. © 2024 IEEE.

关键词： Wavelet decomposition

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A design of remote monitoring system based on 3G and internet technology

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2012 National Conference on Information Technology and Computer Science, CITCS 2012

作者： Wen, Shouxian Sun, Xingguo Xu, Lei Li, Xiaohui Key Lab of Intelligent Computing and Signal Processing Ministry of Education Anhui University Hefei China

ISBN: (纸本)9789491216381

Aiming at the low-rate and short-distance communication in existing temperature and humidity monitoring system, this paper designs a remote monitoring system based on 3G and Internet technology. This system consists of data acquisition module and data remote transmission module. Atmega128 is used to be as a master control chip of data acquisition module, which realizes the data acquisition and pretreatment, and the collected data is transmitted to the host node by the low-power wireless transmission module NRF905 which is installed on slave nodes, and then the converged data is transmitted to Internet by 3G module. The system can realize remote monitoring, centralized management and so on. The experimental results show that the system has the advantages of low installation cost, low consumption, high sensitivity, high accuracy, long-distance communication and high rate etc. © 2012. The authors - Published by Atlantis Press.

关键词： Data acquisition

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A design of digital handheld terminal in wireless data acquisition system

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2012 National Conference on Information Technology and Computer Science, CITCS 2012

作者： Sun, Xingguo Wen, Shouxian Xu, Lei Li, Xiaohui Key Lab of Intelligent Computing and Signal Processing Ministry of Education Anhui University Hefei China

ISBN: (纸本)9789491216381

In order to make data collection more convenient, quick and accurate in working site in the existing wireless data acquisition system, one kind of multi-function handheld terminal is designed which combines the wireless and wired data acquisition. The paper adopts Atmega128 of ATMEL as microcontroller, nRF905 of Nordic as data transmission module. It designs power management, liquid-crystal display and data storage circuits. The results of practical test show that the handheld terminal can be applied to all kinds of wireless data acquisition networks, and it has several advantages like easy to carry, large data storage capacity, rich function and low cost. © 2012. The authors - Published by Atlantis Press.

关键词： Liquid crystal displays

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