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	Optimized finite-difference operators based on Chebyshev auto-convolution combined window function 期刊论文 OAI收割 CHINESE JOURNAL OF GEOPHYSICS-CHINESE EDITION, 2015, 卷号: 58, 期号: 2, 页码: 628-642 作者: Wang Zhi-Yang; Liu Hong; Tang Xiang-De; Wang Yang \| 收藏 \| 浏览/下载：28/0 \| 提交时间：2018/09/26 Finite-difference Numerical dispersion Window functions Main and side lobe Auto-convolution Weighted combination
	Optimized finite-difference operators based on Chebyshev auto-convolution combined window function 期刊论文 OAI收割 CHINESE JOURNAL OF GEOPHYSICS-CHINESE EDITION, 2015, 卷号: 58, 期号: 2, 页码: 628-642 作者: Wang Zhi-Yang; Liu Hong; Tang Xiang-De; Wang Yang \| 收藏 \| 浏览/下载：29/0 \| 提交时间：2018/09/26 Finite-difference Numerical dispersion Window functions Main and side lobe Auto-convolution Weighted combination
	The research for effects of window functions in radio astronomy 会议论文 OAI收割 2010 3rd International Congress on Image and Signal Processing, CISP 2010, Yantai, China, 2010-10-16 作者: Dong L(董亮); Wang M(汪敏); He JH(何金华); Li ZX(李志玄); He, Lesheng 收藏 \| 浏览/下载：25/0 \| 提交时间：2016/04/08 Window functions DFT radio astronomy
	The signal extraction of fetal heart rate based on wavelet transform and BP neural network (EI CONFERENCE) 会议论文 OAI收割 Third International Conference on Experimental Mechanics and Third Conference of the Asian Committee on Experimental Mechanics, November 29, 2004 - December 1, 2004, Singapore, Singapore Hong Y. X.; Cheng Z. B.; Dai F. H. 收藏 \| 浏览/下载：25/0 \| 提交时间：2013/03/25 This paper briefly introduces the collection and recognition of bio-medical signals the other threading is analyzing data. Using the method designs the method to collect FM signals. A detailed discussion on the system hardware it is broaden to analyze the signal in real-time. Wavelet transform to remove the main interference in the FM and by adding time-window to recognize with BP network structure and functions is also given. Under LabWindows/CVI Finally the results of collecting signals and BP networks are discussed.8 pregnant women's signals of FM were collected successfully by using the sensor. The correctness rate of BP network recognition is about 83.3% by using the above measure. the hardware and the driver do compatible the hardware equipment work properly actively. The paper adopts multi threading technology for real-time analysis and makes use of latency time of CPU effectively expedites program reflect speed improves the program to perform efficiency. One threading is collecting data