中国开放科研知识云: 检索

Instantaneous rotating speed estimation using adaptive short-time chirp-fourier transform and its applications 期刊论文
Jixie Gongcheng Xuebao/Journal of Mechanical Engineering, 2015, 卷号: 51, 期号: [db:dc_citation_issue], 页码: 8-14
作者: Zhao, Ming; Lin, Jing; Liao, Yuhe; Cao, Junyi

收藏 | 浏览/下载：4/0 | 提交时间：2019/12/02

Chirp Fourier transform Instantaneous speed Large estimation errors Phase demodulation technique Ridge searching Rotation speed Short time Fourier transforms Time-frequency distributions

A fast target recognition algorithm based on MSA and MSR (EI CONFERENCE) 会议论文
2012 International Conference on Industrial Control and Electronics Engineering, ICICEE 2012, August 23, 2012 - August 25, 2012, Xi'an, China
Huang J.; Wang Y.; Ji H.; Liu G.

收藏 | 浏览/下载：24/0 | 提交时间：2013/03/25

This paper presents a new fast target recognition algorithm the proposed method is based on Multi-scale Auto convolution(MSA) and Multi-scale Retinex(MSR). As shown by the comparison with original MSA it appears that this new technique solves the problem that MSA algorithm is sensitive to illumination and the computational load is significantly reduced to 1/8th of that of the original MSA algorithm it is also robust to affine transform light projective transform noise thin fog occlusion and illumination change. the performed experiments show that it has fast searching speed and can accurately recognize and locate target in real scenes. 2012 IEEE.

Image matching using a bat algorithm with mutation (EI CONFERENCE) 会议论文
2012 International Conference on Mechatronic Systems and Automation Systems, MSAS 2012, July 21, 2012 - July 21, 2012, Wuhan, China
Zhang J.; Wang G.

收藏 | 浏览/下载：32/0 | 提交时间：2013/03/25

Due to shortcoming of traditional image matching for computing the fitness for every pixel in the searching space a new bat algorithm with mutation (BAM) is proposed to solve image matching problem and a modification is applied to mutate between bats during the process of the new solutions updating. This new approach can accelerate the global convergence speed while preserving the strong robustness of the basic BA. The realization procedure for this improved meta-heuristic approach BAM is also presented. To prove the performance of this proposed meta-heuristic method BAM is compared with BA and other population-based optimization methods DE and SGA. The experiment shows that the proposed approach is more effective and feasible in image matching than the other model. (2012) Trans Tech Publications Switzerland.

The ship-borne infrared searching and tracking system based on the inertial platform (EI CONFERENCE) 会议论文
International Symposium on Photoelectronic Detection and Imaging 2011: Advances in Infrared Imaging and Applications, May 24, 2011 - May 24, 2011, Beijing, China
Li Y.; Zhang H.

收藏 | 浏览/下载：26/0 | 提交时间：2013/03/25

As a result of the radar system got interferenced or in the state of half silent it can cause the guided precision drop badly In the modern electronic warfare therefore it can lead to the equipment depended on electronic guidance cannot strike the incoming goals exactly. It will need to rely on optoelectronic devices to make up for its shortcomings but when interference is in the process of radar leading especially the electro-optical equipment is influenced by the roll pitch and yaw rotation it can affect the target appear outside of the field of optoelectronic devices for a long time so the infrared optoelectronic equipment can not exert the superiority and also it cannot get across weapon-control system "reverse bring" missile against incoming goals. So the conventional ship-borne infrared system unable to track the target of incoming quickly the ability of optoelectronic rivalry declines heavily.Here we provide a brand new controlling algorithm for the semi-automatic searching and infrared tracking based on inertial navigation platform. Now it is applying well in our XX infrared optoelectronic searching and tracking system. The algorithm is mainly divided into two steps: The artificial mode turns into auto-searching when the deviation of guide exceeds the current scene under the course of leading for radar.When the threshold value of the image picked-up is satisfied by the contrast of the target in the searching scene the speed computed by using the CA model Least Square Method feeds back to the speed loop. And then combine the infrared information to accomplish the closed-loop control of the infrared optoelectronic system tracking. The algorithm is verified via experiment. Target capturing distance is 22.3 kilometers on the great lead deviation by using the algorithm. But without using the algorithm the capturing distance declines 12 kilometers. The algorithm advances the ability of infrared optoelectronic rivalry and declines the target capturing time by using semi-automatic searching and reliable capturing-tracking when the lead deviation of the radar is great. 2011 Copyright Society of Photo-Optical Instrumentation Engineers (SPIE).

The application of the combinatorial optimization problems based on preventive feedback pulse coupled neural network 会议论文
2011 3rd International Workshop on Intelligent Systems and Applications, ISA 2011, Wuhan, China, May 28, 2011 - May 29, 2011
作者: Feng, Xiaowen; Zhan, Kun; Ma, Yide

收藏 | 浏览/下载：2/0 | 提交时间：2017/01/18

Neural networks Algorithms Combinatorial optimization Intelligent systems Optimization auto-wave Combination optimization Combinatorial optimization problems preventive feedback Pulse Coupled Neural Network Searching speed Solution space Space complexity Triangle inequality

Earth elevation map production and high resolution sensing camera imaging analysis (EI CONFERENCE) 会议论文
Optoelectronic Imaging and Multimedia Technology, October 18, 2010 - October 20, 2010, Beijing, China
Yang X.; Jin G.; Jiang L.; Dai L.; Xu K.

收藏 | 浏览/下载：69/0 | 提交时间：2013/03/25

The Earth's digital elevation which impacts space camera imaging has prepared and imaging has analysed. Based on matching error that TDI CCD integral series request of the speed of image motion statistical experimental methods-Monte Carlo method is used to calculate the distribution histogram of Earth's elevation in image motion compensated model which includes satellite attitude changes orbital angular rate changes latitude longitude and the orbital inclination changes. And then elevation information of the earth's surface from SRTM is read. Earth elevation map which produced for aerospace electronic cameras is compressed and spliced. It can get elevation data from flash according to the shooting point of latitude and longitude. If elevation data between two data the ways of searching data uses linear interpolation. Linear interpolation can better meet the rugged mountains and hills changing requests. At last the deviant framework and camera controller are used to test the character of deviant angle errors TDI CCD camera simulation system with the material point corresponding to imaging point model is used to analyze the imaging's MTF and mutual correlation similarity measure simulation system use adding cumulation which TDI CCD imaging exceeded the corresponding pixel horizontal and vertical offset to simulate camera imaging when stability of satellite attitude changes. This process is practicality. It can effectively control the camera memory space and meet a very good precision TDI CCD camera in the request matches the speed of image motion and imaging. 2010 SPIE.

The registration of aerial infrared and visible images (EI CONFERENCE) 会议论文
2010 International Conference on Educational and Information Technology, ICEIT 2010, September 17, 2010 - September 19, 2010, Chongqing, China
Sun M.; Bao Z.; Liu J.; Wang Y.; Quan Y.

收藏 | 浏览/下载：16/0 | 提交时间：2013/03/25

In order to solve the registration problem of different source image existed on aerial image fusion algorithms based on Particle Swarm Optimization (PSO) are applied as search strategy in this paper and Alignment Metric (AM) is used as judgment. This study has realized the different source image registration of infrared and visible light with high speed high accuracy and high reliability. Basically with little restriction of gray level properties a new alignment measure is applied which can efficiently measure the image registration extent and tolerate noise well. Even more the intelligent optimization algorithm - Particle Swarm Optimization (PSO) is combined to improve the registration precision and rate of infrared and visible light. Experimental results indicate that the study attains the registration accuracy of pixel level and every registration time is cut down over 40 percent compared to traditional method. The match algorithm based on AM solves the registration problem that greater differences between different source images are existed on gray and characteristic. At the same time the adoption of combining the intelligent optimization algorithms significantly improves the searching efficiency and convergence speed of the algorithms and the registration result has higher accuracy and stability which builds up solid foundation for different source image fusion. The method in this paper has a magnificent effect and is easy for application and very suitable for engineering use. 2010 IEEE.

Fast covariance matching based on Genetic Algorithm (EI CONFERENCE) 会议论文
2010 6th International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2010, September 23, 2010 - September 25, 2010, Chengdu, China
Zhang X.; Hu S.; Zhang L.; Wu Y.

收藏 | 浏览/下载：11/0 | 提交时间：2013/03/25

This paper proposes an effective framework to boost the efficiency of covariance matching. In this framework covariance matrices are used to match object in complex environment by fusing multiple features. Then Genetic Algorithm (GA) is employed to improve the processing speed of covariance matching. To take advantage of the property of GA for the optimization in large search spaces to covariance matching a fitness function is designed using the distances between the covariance matrices of model and candidate regions. Experimental results show that the proposed approach can improve the processing speed of covariance matching observably. The computing speed of the proposed method is at least 7 times than that of exhaustive searching. 2010 IEEE.

Application of improved PSO-SVM approach in speaker recognition 期刊论文
Dianzi Keji Daxue Xuebao/Journal of the University of Electronic Science and Technology of China, 2007, 卷号: 36, 期号: 6, 页码: 1345-1349
作者: Li, Ming; Zhang, Yong; Li, Jun-Quan; Zhang, Ya-Fen

收藏 | 浏览/下载：10/0 | 提交时间：2020/11/14

Speech recognition Support vector machines Adaptive inertia Convergent speed Inertia weight Number of iterations Recognition accuracy Recognition speed Searching ability Speaker recognition

High speed, low memory image coding using zero blocks of wavelet coefficients (EI CONFERENCE) 会议论文
4th International Conference on Image and Graphics, ICIG 2007, August 22, 2007 - August 24, 2007, Chengdu, China
Yang W.-G.; Zhang T.; Zhang J.-D.

收藏 | 浏览/下载：22/0 | 提交时间：2013/03/25

We propose a new high speed low memory SPECK image coder based on the form of block-unit states called LBUS-SPECK which uses the form of block-unit states and the form of block exponents to substitute LIS and LSP of SPECK. A form of block-unit states is introduced to store the significance flag of coefficients and the value of the block-unit exponents. A form of block exponents is introduced to store the block exponents which are used to represent the max coefficient in a decomposed block. A new block depth-finding strategy is developed for searching insignificant sets at sorting stage. Experimental results show that the obtained PSNR values for the decoded images are very close to those of SPECK algorithm and the memory consumption is reduced by 9 times the encoding timing is saved about 15%. Comparing with SPECK algorithm this algorithm not only has better performance of the decoded images but also is easy to implement especially it provides an efficient way for hardware implementation of wavelet embedded block coding. 2007 IEEE.

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