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Noisy component extraction with reference

Frontiers of Computer Science 2013年第1期7卷 135-144页

作者： Yongjian ZHAO Hong HE Jianxun Mi School of Information Engineering Shandong University Weihai 264209 China Bio-Computing Research Center Shenzhen Graduate School Harbin Institute of Technology Shenzhen 518055 China Key Laboratory of Network Oriented Intelligent Computation Shenzhen 518055 China

Blind source extraction （BSE） is particularly at- tractive to solve blind signal mixture problems where only a few source signals are desired. Many existing BSE methods do not take into account the existence of noise and can only work well in noise-free environments. In practice, the desired signal is often contaminated by additional noise. Therefore, we try to tackle the problem of noisy component extraction. The reference signal carries enough prior information to dis- tinguish the desired signal from signal mixtures. According to the useful properties of Gaussian moments, we incorporate the reference signal into a negentropy objective function so as to guide the extraction process and develop an improved BSE method. Extensive computer simulations demonstrate its validity in the process of revealing the underlying desired signal.

关键词： blind signal processing reference signal Gaus- sian moments negentropy objective function biomedical signal measure performance index

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Tracking Control and Synchronization for Two-Dimension Discrete Chaotic Systems

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The Journal of China Universities of Posts and Telecommunications 2002年第3期9卷 7-10页

作者： CHEN Xi ming, ZHOU Ping (Institute of Electronic Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, P.R.China) Institute of Electronic Engineering Chongqing University of Posts and Telecommunications Chongqing 400065 P.R.China

The popular method of tracking control and synchronization for two-dimensiondiscrete chaotic systems is put forward in this paper, and the chaotic system track arbitrarilyreference signal is realized. This method is a... 详细信息

关键词： discrete chaotic systems tracking control reference signal

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IMPROVED ALGORITHM FOR STRIPMAP SAR IMAGING

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Journal of Electronics(China) 2006年第2期23卷 216-219页

作者： Wei Qing Yang Shaoquan Luo Ming Dong Chunxi School of Electronic Engineering Xidian University Xi＇an 710071 China

This paper proposes a calibrated method for quasi-broadside side-looking mode SAR imaging with small squint angle and an improved method named as phase alignment algorithm of subaperture reference signal. The calibrated method adopts subaperture spotlighting algorithm of broadside mode to image the real data of quasi-broadside mode SAR, then based on the obtained image the small squint angle is estimated and the calibrated subaperture spotlighting algorithm of squint mode is employed to obtain the final image. The calibrated method can calibrate the abnormal region and obtain the correct image. The phase alignment algorithm of subaperture reference signal adjusts phases of respective subaperture reference signals in order to make them be in phase and constructs a new spotlighting window function for SAR imaging. Theoretical analysis shows that with the same sample data, the improved method can increase SAR imaging area in azimuth dimension. The methods are verified by the results of computer simulation.

关键词： Synthetic Aperture Radar (SAR) Calibrated Squint Subaperture spotlighting Phase alignment reference signal

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