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	Frequency-Domain Detection for Frequency-Division Multiplexing QEPAS 期刊论文 OAI收割 SENSORS, 2022, 卷号: 22 作者: Chen, Xiang; Liu, Hao; Hu, Mai; Yao, Lu; Xu, Zhenyu \| 收藏 \| 浏览/下载：44/0 \| 提交时间：2022/12/23 photoacoustic spectroscopy quartz tuning fork frequency-division multiplexing frequency-domain signal
	Spatial modulation assisted scanning white-light interferometry for noise suppression 期刊论文 OAI收割 IEEE Photonics Technology Letters, 2017 作者: Deng, Qinyuan; Liu, Junbo; Tang, Yan; Zhou, Yi; Yang, Yong \| 收藏 \| 浏览/下载：35/0 \| 提交时间：2018/11/20 Bandpass filters - Frequency domain analysis - Interferometry - Light sources - Scanning - Signal to noise ratio - Spurious signal noise - Surface measurement
	Information encryption technology based on digital watermarkingand iteration algorithm 期刊论文 OAI收割 guangxue xuebao/acta optica sinica, 2016, 卷号: 36, 期号: 6 作者: Xie, Qingkun; Jiang, Yanru; Zhang, Wenfei; Wang, Jing; Qu, Enshi 收藏 \| 浏览/下载：37/0 \| 提交时间：2016/10/14 Cryptography Digital watermarking Errors Fourier optics Frequency domain analysis Image processing Iterative methods Mean square error Signal detection
	Speech signal enhancement through wavelet domain MMSE filtering (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 Fenghua Z.; Le Y.; Jian W.; Qiang S. 收藏 \| 浏览/下载：26/0 \| 提交时间：2013/03/25 A new speech enhancement system that combine robust signal enhancement and minimum signal distortion is proposed in this paper. The proposed method introduces frequency depended parametric MMSE filtering techniques that involve wavelet packets. Voice activity detection (VAD) is used to further distinguish speech from noise and help to adaptively remove noise components from color noise eruptive noisy speech while perceptual criteria is also taken into account. Experimental results and objective quality measurement test results validate the proposed speech enhancement system and illustrate the benefit of the proposed wavelet domain MMSE filtering as an excellent speech enhancement method to provide sufficient noise reduction and good intelligibility and perceptual quality without causing considerable signal distortion and musical background noise method. 2010 IEEE.
	Arc fault signatures detection on aircraft wiring system (EI CONFERENCE) 会议论文 OAI收割 6th World Congress on Intelligent Control and Automation, WCICA 2006, June 21, 2006 - June 23, 2006, Dalian, China Hongkun Z.; Tao C.; Wenjun L. 收藏 \| 浏览/下载：24/0 \| 提交时间：2013/03/25 In this paper an arc fault detection method Is proposed based on characteristics of the fault current of an electric arc. A localized signal processing method Is developed using wavelet analysis to decompose the differential current signal Into a series of wavelet components each of which Is a time-domain signal that covers a specific frequency band. Thus more distinctive signal features that represent arc faults and other fault transient phenomena are extracted. As a result by quantifying the extracted features an arc faults are distinguished from phenomena similar to arc and other fault transients using the differences In the quantified features. Simulation studies have demonstrated that the proposed method Is reliable and simple. 2006 IEEE.
	Reduction of edge effects in spatial information extraction from regional geochemical data: A case study based on multifractal filtering technique EI期刊论文 OAI收割 2005 作者: Ge Yong 收藏 \| 浏览/下载：25/0 \| 提交时间：2012/06/11 Data reduction Edge detection Fourier transforms Fractals Frequency domain analysis Image analysis Signal to noise ratio