中国科学院机构知识库网格系统: 检索

浏览/检索结果: 共6条，第1-6条

帮助

条数/页：排序方式：
	Denoising and Baseline Correction of ECG Signals using Sparse Representation 会议论文 OAI收割 Hangzhou, China, Hangzhou, China, 2015-10, 2015-10 作者: Zhou, Yichao; Hu, Xiyuan; Tang, Zhenmin; Ahn, Andrew C. \| 收藏 \| 浏览/下载：21/0 \| 提交时间：2018/01/03 Sparse Representation Sparse Representation Adaptive Signal Separation Adaptive Signal Separation Ecg Denoising Ecg Denoising Baseline Wandering Correction Baseline Wandering Correction
	基于零空间追踪的信号自适应分解及其应用学位论文 OAI收割工学博士, 中国科学院自动化研究所: 中国科学院大学, 2015 作者: 衣晓蕾收藏 \| 浏览/下载：237/0 \| 提交时间：2015/09/02 自适应分解局部正交模式混叠稀疏约束四阶龙格-库塔法 Adaptive signal separation Locally orthogonal Mode mixing Sparsity constraint Four order Runge-Kutta method
	Multicomponent AM-FM signal separation and demodulation with null space pursuit 期刊论文 OAI收割 SIGNAL IMAGE AND VIDEO PROCESSING, 2013, 卷号: 7, 期号: 6, 页码: 1093-1102 作者: Hu, Xiyuan; Peng, Silong; Hwang, Wen-Liang 收藏 \| 浏览/下载：26/0 \| 提交时间：2015/08/12 Adaptive signal separation Null space pursuit (NSP) Multicomponent AM-FM signals Signal demodulation
	Null space pursuit based on three order linear differential operator 期刊论文 OAI收割 Systems Engineering-Theory & Practice,, 2013, 卷号: 33(5), 期号: 2013年05期, 页码: pp 1283-1288 (EI) 作者: Xiao, Wei-Wei; Luan, Wei-Jun; Peng, Si-Long \| 收藏 \| 浏览/下载：11/0 \| 提交时间：2017/01/13 Adaptive Signal Separation / operator-based / null Space Pursuit
	Research on infrared dim-point target detection and tracking under sea-sky-line complex background (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: Dong Y.-X.; Zhang H.-B.; Li Y.; Li Y.; Li Y. 收藏 \| 浏览/下载：108/0 \| 提交时间：2013/03/25 Target detection and tracking technology in infrared image is an important part of modern military defense system. Infrared dim-point targets detection and recognition under complex background is a difficulty and important strategic value and challenging research topic. The main objects that carrier-borne infrared vigilance system detected are sea-skimming aircrafts and missiles. Due to the characteristics of wide field of view of vigilance system the target is usually under the sea clutter. Detection and recognition of the target will be taken great difficulties.There are some traditional point target detection algorithms such as adaptive background prediction detecting method. When background has dispersion-decreasing structure the traditional target detection algorithms would be more useful. But when the background has large gray gradient such as sea-sky-line sea waves etc.The bigger false-alarm rate will be taken in these local area.It could not obtain satisfactory results. Because dim-point target itself does not have obvious geometry or texture feature in our opinion from the perspective of mathematics the detection of dim-point targets in image is about singular function analysis.And from the perspective image processing analysis the judgment of isolated singularity in the image is key problem. The foregoing points for dim-point targets detection its essence is a separation of target and background of different singularity characteristics.The image from infrared sensor usually accompanied by different kinds of noise. These external noises could be caused by the complicated background or from the sensor itself. The noise might affect target detection and tracking. Therefore the purpose of the image preprocessing is to reduce the effects from noise also to raise the SNR of image and to increase the contrast of target and background. According to the low sea-skimming infrared flying small target characteristics the median filter is used to eliminate noise improve signal-to-noise ratio then the multi-point multi-storey vertical Sobel algorithm will be used to detect the sea-sky-line so that we can segment sea and sky in the image. Finally using centroid tracking method to capture and trace target. This method has been successfully used to trace target under the sea-sky complex background. 2011 Copyright Society of Photo-Optical Instrumentation Engineers (SPIE).
	Null Space Pursuit: An Operator-based Approach to Adaptive Signal Separation 期刊论文 OAI收割 IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2010, 卷号: 58, 期号: 5, 页码: 2475-2483 作者: Peng, Silong; Hwang, Wen-Liang; Silong Peng 收藏 \| 浏览/下载：23/0 \| 提交时间：2015/08/12 Adaptive signal separation operator-based optimal parameter estimation