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Construction of Ship Target Image Library Based on 3DS MAX and ap algorithm

Modern Electronic Technology 2023年第2期7卷 20-25页

作者： Chao Ji Weixing Xia Zhengping Tang Department of Navigation and Communication Navy Submarine AcademyQingdaoShandong266041China

To achieve accurate classification and recognition of ship target types,it is necessary to establish a sample library of ship targets to be *** the basis of exploring the principles of building a ship target image library,the paper determines the sample *** 3DS MAX software as the platform,combined with the accurate 3D model of the ship in an offline state,the software fully utilizes its own rendering and animation functions to achieve the automatic generation of multi-view and multi-scale views of ship *** reduce the storage capacity of the image database,a construction method of the ship target image database based on the ap algorithm is *** algorithm can obtain the optimal cluster number,reduce the data storage capacity of the image database,and save the calculation amount for the subsequent matching calculation.

关键词： ap algorithm Ship target image library 3DS MAX Image recognition

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SAR Raw Data ap Compression algorithm based on 2D Real-valued Discrete Gabor Transform

SAR Raw Data AP Compression Algorithm based on 2D Real-value...

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3rd International Symposium on Test Automation and Instrumentation

作者： Zhang Aihong Luo Haifang Song Hong-mei Zhang Bo Daqing Vocat Coll Heilongjing Daqing 163255 Peoples R China

ISBN: (纸本)9787510020841

In this paper, amplitude-phase(ap) algorithm for synthetic aperture radar (SAR) raw data and Two-Dimensional Real valued Discrete Gabor Transform (2D-RDGT) are studied and ap-Gabor compression algorithm is proposed. In this method, the raw data is divided into blocks at first, each block of raw data is converted into amplitude data and phase data of the same size at polar coordinates, then each block is transformed into time-frequency domain by 2D-RDGT and the desired bits are allocated to each frequency plane, finally each frequency plane is quantized with BAQ(Block Adaptive Quantization). The same raw data is experimented with this method and other existing methods. The experiment results show that this algorithm is superior to existing algorithms in the data domain and the images domain.

关键词： raw data compression time-frequency analysis Gabor transform ap algorithm adaptive bit allocation

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THE PARALLEL RECURSIVE ap ADapTIVE algorithm BASED ON VOLTERRA SERIES

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Journal of Pharmaceutical Analysis 2005年第2期17卷 3-6页

作者：孔祥玉魏瑞轩韩崇昭 School of Electronic and Information Engineering Xi'an Jiaotong University Xi'an 710049 China

Aiming at the nonlinear system identification problem, a parallel recursive affine projection (ap) adaptive algorithm for the nonlinear system based on Volterra series is presented in this paper. The algorithm identifies in parallel the Volterra kernel of each order, recursively estimate the inverse of the autocorrelation matrix for the Volterra input of each order, and remarkably improve the convergence speed of the identification process compared with the NLMS and conventional ap adaptive algorithm based on Volterra series. Simulation results indicate that the proposed method in this paper is efficient.

关键词： nonlinear system Volterra series adaptive identification ap algorithm

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SAR Raw Data ap Compression algorithm based on 2D Real-valued Discrete Gabor Transform

SAR Raw Data AP Compression Algorithm based on 2D Real-value...

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第三届国际自动化测试与仪器仪表学术会议

作者： Zhang Aihong~1 Luo Haifang~1 Song Hong-mei~2 Zhang Bo~3 (1.Daqing Vocation college,Heilongjing Daqing,163255,China 2.Institute of Electronics,Chinese Academy of Sciences 100190,China 3.Beijing Institute of Machinery & Equipment,Being 101100,China)

In this paper,amplitude-phase(ap)algorithm for synthetic aperture radar(SAR)raw data and Two-Dimensional Real valued Discrete Gabor Transform(2D-RDGT)are studied and ap-Gabor compression algorithm is *** this method,the raw data is divided into blocks at first,each block of raw data is converted into amplitude data and phase data of the same size at polar coordinates,then each block is transformed into time-frequency domain by 2D-RDGT and the desired bits are allocated to each frequency plane,finally each frequency plane is quantized with BAQ(Block Adaptive Quantization).The same raw data is experimented with this method and other existing *** experiment results show that this algorithm is superior to existing algorithms in the data domain and the images domain.

关键词： raw data compression time-frequency analysis Gabor transform ap algorithm adaptive bit allocation

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FAST INITIALIZATION PROCEDURE OF THE ALTERNATING PROJECTION algorithm FOR MAXIMUM-LIKELIHOOD LOCALIZATION OF MULTIPLE SOURCES

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SIGNAL PROCESSING 1991年第3期25卷 381-389页

作者： OH, SK UN, CK Transmission Systems Development Lab. Information Systems Business Samsung Electronics Co. Ltd. Suwon P.O. Box 105 Kyunggi Korea Communications Research Laboratory Department of Electrical Engineering Korea Advanced Institute of Science and Technology P.O. Box 150 Chongyangni Seoul Korea

We present an improved initialization procedure for the alternating projection (ap) algorithm which is an efficient iterative algorithm for computing the deterministic maximum likelihood (ML) estimator of the locations of multiple sources in passive sensor arrays. By utilizing the high resolution property of the sequential MUSIC (MUltiple SIgnal Classification) algorithm based on the sequential estimation technique, the procedure provides fast initial estimates that reduce significantly the number of iterations to convergence. Also these initial estimates improve greatly the possibility of global convergence. Also, we give computer simulation results to compare the ap algorithm using the proposed initialization procedure and the original ap algorithm in terms of the estimation performance and convergence behaviors.

关键词： SOURCE LOCALIZATION ML ESTIMATOR ap algorithm SEQUENTIAL MUSIC algorithm FAST INITIALIZATION CONVERGENCE

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Evolutionary and variable step size strategies for multichannel filtered-x affine projection algorithms

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IET SIGNAL PROCESSING 2013年第6期7卷 471-476页

作者： Gonzalez, Alberto Albu, Felix Ferrer, Miguel de Diego, Maria Univ Politecn Valencia Inst Telecommun & Multimedia Applicat iTEAM E-46071 Valencia Spain Valahia Univ Targoviste Dept Elect & Telecommun Targoviste Romania

This study is focused on the necessity to improve the performance of the affine projection (ap) algorithm for active noise control (ANC) applications. The proposed algorithms are evaluated regarding their steady-state behaviour, their convergence speed and their computational complexity. To this end, different strategies recently applied to the ap for channel identification are proposed for multichannel ANC. These strategies are based either on a variable step size, an evolving projection order, or the combination of both strategies. The developed efficient versions of the ap algorithm use the modified filtered-x structure, which exhibits faster convergence than other filtering schemes. Simulation results show that the proposed approaches exhibit better performance than the conventional ap algorithm and represent a meaningful choice for practical multichannel ANC applications.

关键词： active noise control computational complexity convergence evolutionary computation filtering theory multichannel ANC applications filtering schemes ap algorithm channel identification computational complexity convergence speed steady-state behaviour active noise control applications multichannel filtered-x affine projection algorithms evolutionary strategies variable step size strategies

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A NEWTON-BASED ZISKIND WAX ALTERNATING PROJECTION algorithm apPLIED TO SPECTRAL ESTIMATION

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IEEE TRANSACTIONS ON SIGNAL PROCESSING 1993年第3期41卷 1435-1438页

作者： BIRADAR, LS REDDY, VU Department of Electrical Communication Engineering Indian Institute of Science

In this correspondence, we present a Newton-based alternating projection (ap) algorithm for estimating the parameters of exponential signals in noise, and compare its performance with that of modified forward-backward linear prediction/backward linear prediction (FBLP/BLP), total least squares (TLS), and iterative quadratic maximum likelihood (IQML) methods using computer simulations. In the case of undamped sinusoids, the ap algorithm yielded lower threshold SNR than the others, while in the case of damped sinusoids, its threshold SNR is same as that of TLS, but is 1 dB lower than that of MBLP and IQML.

关键词： .least squares linear prediction sinusoids Alternating Projection ap algorithm threshold SNR

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Attribute Extracting from Wikipedia Pages in Domain Automatically

Attribute Extracting from Wikipedia Pages in Domain Automati...

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International Conference on Information Technology and Intelligent Transportation Systems (ITITS)

作者： Su, Fenglong Rong, Chuanzhen Huang, Qingquan Qiu, Jiyuan Shao, Xinhong Yue, Zhenjun Xie, Qinghua PLA Univ Sci & Technol Inst Commun Engn Nanjing Jiangsu Peoples R China PLA Univ Sci & Technol Inst Natl Def Engn Nanjing Jiangsu Peoples R China

ISBN: (纸本)9783319387710;9783319387697

In the age of Big Data, input determines output. There is a large amount of data on the internet, but little knowledge. So researchers develop different kinds of methods to automatically extract knowledge from different data platforms. The traditional methods of supervised learning cost more time and labor, which are willing to be gradually replaced by the semi-supervised and unsupervised learning methods. In this paper we proposed a new semi-supervised method to complete this task, which costs just little, called TSVM (Transductive Support Vector Machine). In order to improve the accuracy and the intelligent level, we also add the Word Embeddings to the semi-supervised method. The ap (Affinity Propagation) algorithm makes a contribution to the word clustering automatically. Experimental results demonstrate a better performance to extract the attribute information in the military transportation domain from the Wikipedia compared with the traditional supervised leaning method.

关键词： Attribute extraction Word embedding Semi-supervised learning ap algorithm Information extraction Word clustering

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Location Searching Method of Smart Power Terminal Based On Mobile Positioning Technology

Location Searching Method of Smart Power Terminal Based On M...

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International Conference on Smart Grid and Electrical Automation (ICSGEA)

作者： Zhao, Yun Xiao, Yong Lin, Weibin CSG Elect Power Res Inst Guangzhou 510663 Guangdong Peoples R China

ISBN: (纸本)9781538628133

This paper proposed the Location Searching Method of Smart Power Terminal base on Mobile Positioning Technology. For those occasions in the scope of work that is improper to deploy ap but require only precise position, its applicability could be figured out from position accuracy, scalability and expenditure as well as providing parameters for the engineering practice. From the results of calculations, with the increase of amount of known ap locations the position accuracy rises as well, while the standard deviation of position error become smaller and smaller which represents better outcome of the stability of position algorithm. The errors of model calculations have reached more than 80% that indicating a relatively high accuracy of position algorithm to achieve the expected requirements.

关键词： Location Searching Mobile Positioning Power Terminal ap algorithm WiFi Communication

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Novel Energy-Based Localization Technique for Multiple Sources

Novel Energy-Based Localization Technique for Multiple Sourc...

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IEEE International Conference on Communications (ICC)

作者： Lu, Lu Wu, Hsiao-Chun Louisiana State Univ Dept Elect & Comp Engn Baton Rouge LA 70803 USA

ISBN: (纸本)9781457720536

Source localization using acoustic sensor networks has been drawing a lot of research interest recently. In a sensor network, there are a large number of inexpensive sensors which are densely deployed in a region of interest (ROI). This dense deployment enables accurate intensity (energy) based target localization. The maximum-likelihood is the predominant objective which leads to a variety of source localization approaches. However, the investigation on the energy-based localization for multiple sources has been very rare. The corresponding robust and efficient algorithms are still being pursuit by researchers nowadays. In this paper, we would like to combat the energy-based multiple-source localization problem. We propose two new algorithms, namely alternating projection (ap) algorithm and expectation maximization (EM) algorithm, which can combat the energy-based localization problem for multiple sources.

关键词： EM algorithm ap algorithm source localization

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