中国科学院机构知识库网格系统: 检索

Data Generation Feedback Relearning Control for Unmodeled Nonlinear Systems 期刊论文 OAI收割
IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTATIONAL INTELLIGENCE, 2023, 页码: 12
作者: Zhang, Yong; Mu, Chaoxu; Zhao, Dongbin

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收藏 | 浏览/下载：24/0 | 提交时间：2023/11/16

Data models Real-time systems Heuristic algorithms Mathematical models Adaptation models Approximation algorithms Cost function Data generation model feedback relearning control delayed neural network reinforcement learning unmodeled nonlinear system

Pruned Distributed and Parallel Subarray Beamforming for 3-D Underwater Imaging With Fine-Grid Sparse Arrays 期刊论文 OAI收割
IEEE JOURNAL OF OCEANIC ENGINEERING, 2021, 卷号: 46, 期号: 4, 页码: 1356-1371
作者: Zhao, Dongdong; Chen, Peng; Hu, Yingtian; Liang, Ronghua; Wang, Haixia

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收藏 | 浏览/下载：85/0 | 提交时间：2021/11/16

Array signal processing Imaging Planar arrays Indexes Genetic algorithms Hardware Transforms Acoustic imaging digital beamforming fine-grid sparse arrays pruned fast Fourier transform (FFT) real-time 3-D underwater imaging simulated annealing (SA) algorithm

Elite bases regression: A real-time algorithm for symbolic regression 会议论文 OAI收割
Guilin, Guangxi, China, July 29, 2017 - July 31, 2017
作者: Chen C(陈辰); Luo ZT(罗长童); Jiang ZL(姜宗林)

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收藏 | 浏览/下载：55/0 | 提交时间：2018/11/08

Data mining Fuzzy systems Genetic algorithms Genetic programming Iterative methods Learning systems Comparative studies Correlation coefficient Function extraction Large scale problem Machine learning methods Real time algorithms Symbolic regression Symbolic regression problems

Laser pulse coded signal frequency measuring device based on DSP and CPLD (EI CONFERENCE) 会议论文 OAI收割
International Symposium on Photoelectronic Detection and Imaging 2011: Laser Sensing and Imaging; and Biological and Medical Applications of Photonics Sensing and Imaging, May 24, 2011 - May 26, 2011, Beijing, China
作者: Zhang H.-B.; Wang T.-F.; Guo R.-H.; Li Y.; Li Y.

收藏 | 浏览/下载：45/0 | 提交时间：2013/03/25

Laser pulse code is an anti-jamming measures used in semi-active laser guided weapons. On account of the laser-guided signals adopting pulse coding mode and the weak signal processing it need complex calculations in the frequency measurement process according to the laser pulse code signal time correlation to meet the request in optoelectronic countermeasures in semi-active laser guided weapons. To ensure accurately completing frequency measurement in a short time it needed to carry out self-related process with the pulse arrival time series composed of pulse arrival time calculate the signal repetition period and then identify the letter type to achieve signal decoding from determining the time value number and rank number in a signal cycle by Using CPLD and DSP for signal processing chip designing a laser-guided signal frequency measurement in the pulse frequency measurement device improving the signal processing capability through the appropriate software algorithms. In this article we introduced the principle of frequency measurement of the device described the hardware components of the device the system works and software analyzed the impact of some system factors on the accuracy of the measurement. The experimental results indicated that this system improve the accuracy of the measurement under the premise of volume real-time anti-interference low power of the laser pulse frequency measuring device. The practicality of the design reliability has been demonstrated from the experimental point of view.

The new approach for infrared target tracking based on the particle filter algorithm (EI CONFERENCE) 会议论文 OAI收割
International Symposium on Photoelectronic Detection and Imaging 2011: Advances in Infrared Imaging and Applications, May 24, 2011 - May 24, 2011, Beijing, China
作者: Sun H.; Han H.-X.; Sun H.

收藏 | 浏览/下载：63/0 | 提交时间：2013/03/25

Target tracking on the complex background in the infrared image sequence is hot research field. It provides the important basis in some fields such as video monitoring precision and video compression human-computer interaction. As a typical algorithms in the target tracking framework based on filtering and data connection the particle filter with non-parameter estimation characteristic have ability to deal with nonlinear and non-Gaussian problems so it were widely used. There are various forms of density in the particle filter algorithm to make it valid when target occlusion occurred or recover tracking back from failure in track procedure but in order to capture the change of the state space it need a certain amount of particles to ensure samples is enough and this number will increase in accompany with dimension and increase exponentially this led to the increased amount of calculation is presented. In this paper particle filter algorithm and the Mean shift will be combined. Aiming at deficiencies of the classic mean shift Tracking algorithm easily trapped into local minima and Unable to get global optimal under the complex background. From these two perspectives that "adaptive multiple information fusion" and "with particle filter framework combining" we expand the classic Mean Shift tracking framework.Based on the previous perspective we proposed an improved Mean Shift infrared target tracking algorithm based on multiple information fusion. In the analysis of the infrared characteristics of target basis Algorithm firstly extracted target gray and edge character and Proposed to guide the above two characteristics by the moving of the target information thus we can get new sports guide grayscale characteristics and motion guide border feature. Then proposes a new adaptive fusion mechanism used these two new information adaptive to integrate into the Mean Shift tracking framework. Finally we designed a kind of automatic target model updating strategy to further improve tracking performance. Experimental results show that this algorithm can compensate shortcoming of the particle filter has too much computation and can effectively overcome the fault that mean shift is easy to fall into local extreme value instead of global maximum value.Last because of the gray and fusion target motion information this approach also inhibit interference from the background ultimately improve the stability and the real-time of the target track. 2011 Copyright Society of Photo-Optical Instrumentation Engineers (SPIE).

Designing and development of multi-DSP real-time image processing system based on FPGA (EI CONFERENCE) 会议论文 OAI收割
2011 International Conference on Computer Science and Network Technology, ICCSNT 2011, December 24, 2011 - December 26, 2011, Harbin, China
Wei H.

收藏 | 浏览/下载：22/0 | 提交时间：2013/03/25

To improve the image processing system of resolution capability and reliability image processing system in a growing number of multi-sensor model. In this mode the use of the current main stream single DSP + FPGA hardware architecture for image processing algorithms have already unable to meet the operational requirements of real-time. This paper proposed a new hardware architecture that is the three DSPs based on FPGA. With the traditional master-slave architectures is different three DSP's external interfaces are connected with FPGA and other peripheral interfaces are connected to the FPGA. In the architecture DSP is in the same position three and FPGA flow control for data management and other function to achieve. This connection has a strong restructuring and expansion software development and more flexible. 2011 IEEE.

fast verification of memory consistency for chip multi-processor 会议论文 OAI收割
2011 7th International Conference on Computational Intelligence and Security, CIS 2011, Sanya, Hainan, China, December 3, 2011 - December 4, 2011
Zheng Lv; Chen Hao; Chen Feng; Yi Lv

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收藏 | 浏览/下载：25/0 | 提交时间：2013/10/08

Algorithms Artificial intelligence Computational complexity Program processors Real time systems Software testing

Non-uniformity correction in multi-CCD imaging system (EI CONFERENCE) 会议论文 OAI收割
2010 2nd International Conference on Mechanical and Electronics Engineering, ICMEE 2010, August 1, 2010 - August 3, 2010, Kyoto, Japan
Tao M.; Ren J.

收藏 | 浏览/下载：35/0 | 提交时间：2013/03/25

The non-uniformity phenomenon exists in each channel of multi-CCD imaging systems. The factors which lead to the problem are complex. The conventional calibrating algorithms can not consider all of these factors and have poor effects. According to the characters of multi-CCD imaging systems a non-uniformity correction method based on the scene was proposed by adopting the traditional two-point correction theories. The correction coefficient of each channel image can be calculated via the linear relation between the two neighboring pixel lines in the two-channel images. Compared with the conventional two-point calibration and multi-point calibration methods contrastive calibrating results were obtained. This method does not need any standard lighted image as reference source which provides a real time way for calibrating the multi-CCD imaging systems in practical applications. 2010 IEEE.

Study particle filter tracking and detection algorithms based on DSP signal processors (EI CONFERENCE) 会议论文 OAI收割
2010 International Conference on Computer, Mechatronics, Control and Electronic Engineering, CMCE 2010, August 24, 2010 - August 26, 2010, Changchun, China
Dong Y.; Chuan W.

收藏 | 浏览/下载：24/0 | 提交时间：2013/03/25

In Video tracking detection and tracking usually need two algorithms. The process is complex and need much time which detection and tracking are. In this paper a hybrid valued sequential state vector is formulated. The state vector is characterized by information of target appearance flag and of location. Particle filter-based method implements detection and tracking at one time. In order to reduce process time and think of pixel position in tracking field feature histogram of luminance is as observe vector and used posterior estimate. In this paper the luminance component is derived and target is recognized and tracked through image processor based on DSP in order to implementing real-time. The experimental results confirm that method can detect and track the object in real-time successfully when the number of particles is 160. The method is robust for rolling scale and partial occlusion. 2010 IEEE.

optimal task execution times for periodic tasks using nonlinear constrained optimization 期刊论文 OAI收割
Journal of Supercomputing, 2010, 页码: 40562
Min-Allah Nasro; Khan Samee Ullah; Yongji Wang

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收藏 | 浏览/下载：30/0 | 提交时间：2011/05/23

Quality of service Real time systems Scheduling algorithms