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	Denoising Algorithm based on Event Camera 会议论文 OAI收割 Nanjing, China, 2023-10-22 作者: Lv, Yuanyuan; Liu, Zhaohui; Zhou, Liang; Qiao, Wenlong; Zhang, Haiyang \| 收藏 \| 浏览/下载：8/0 \| 提交时间：2024/08/27 Event camera Dynamic vision sensor Denoise
	Outside Box and Contactless Palm Vein Recognition Based on a Wavelet Denoising ResNet 期刊论文 OAI收割 IEEE ACCESS, 2021, 卷号: 9, 页码: 82471-82484 作者: Wu W(吴微); Wang Q(王强); Yu SQ(余思泉); Luo Q(罗琼) \| 收藏 \| 浏览/下载：32/0 \| 提交时间：2021/08/03 Veins Deep learning Optical imaging Feature extraction Optical scattering Noise reduction Face recognition Deep learning biometrics palm vein recognition Resnet wavelet decomposition denoise
	Video in Radiation Environments Denoise Using Wavelet and Kalman Filter 会议论文 OAI收割 Chengdu, Sichuan Province, China, December 13, 2019 - December 15, 2019 作者: Zhang, Zhizi; Cheng, Yong; Zhao, Jianping \| 收藏 \| 浏览/下载：17/0 \| 提交时间：2021/05/06 Video denoise Radiation environment Wavelet Kalman filter
	An automatic detection method of solar radio burst based on Otsu binarization 会议论文 OAI收割 Sun Yat Sen Univ, Guangzhou, PEOPLES R CHINA, 2019-05-10 作者: Jin, Menglin; Yuan, Guowu; Gao GN(高冠男); Dong L(董亮); Zhou, Hao \| 收藏 \| 浏览/下载：25/0 \| 提交时间：2020/03/02 Solar radio spectrum image denoise binarization threshold setting method
	PDE-based spatial smoothing: a practical demonstration of impacts on MRI brain extraction, tissue segmentation and registration 期刊论文 OAI收割 MAGNETIC RESONANCE IMAGING, 2011, 卷号: 29, 期号: 5, 页码: 731-738 作者: Xing, Xiu-Xia; Zhou, You-Long; Adelstein, Jonathan S.; Zuo, Xi-Nian 收藏 \| 浏览/下载：42/0 \| 提交时间：2015/08/26 MRI denoise Partial differential equation Anisotropic diffusion Non-local means Brain extraction Segmentation Registration
	Electro-optical imaging system identification using pseudo-random binary pattern (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 Le Y.; Jian W.; Jianzhong Z.; Qiang S.; Jianzhuo L. 收藏 \| 浏览/下载：22/0 \| 提交时间：2013/03/25 A method using pseudo-random binary pattern is developed for electro-optical imaging system identification. The imaging system is taken as a stable linear time-invariant and causal filter and its transfer function is measured through the pseudo-random binary sequence impulse responses identification. A digital mirror device (DMD) light projector is developed as the target generator and wavelet thresholding is used to denoise the captured image. Pre-filtering spectral estimation algorithm with adaptive parameter selection is also proposed for the identification process overcoming the challenge brought by the size limit derived from the optical isoplantic region. Simulations and experiments are presented to show the effectiveness of the proposed method.0-64. 2010 IEEE.
	AE signal processing and DSP implementation based on wavelet packet analysis (EI CONFERENCE) 会议论文 OAI收割 ICMIT 2005: Information Systems and Signal Processing, September 20, 2005 - September 23, 2005, Changchun, China 作者: Zhao J.; Wang K. 收藏 \| 浏览/下载：12/0 \| 提交时间：2013/03/25 To improve the accuracy of AE (Acoustic Emission) testing the wavelet packet analysis was introduced to process the AE signals. Extraction of the fault characteristic information would be influenced greatly if the faulted AE signal was not effectively denoised. Based on discussing the fast searching algorithm of BWPB (Best Wavelet Packet Basis) adopting Shannon entropy a new method based on BWPB was presented to denoise the AE signal from the faulted composite plate. Analyzing was performed on the denoised signal and the fault characteristic information was exacted. To improve the real-time performance of the wavelet packet analysis algorithm it was performed on the DSP (Digital Signal Processing) chip TMS320VC5409. The experimental results show that the algorithm can not only reduce the noise by 10dB but also effectively extract the faulted characteristics information from the AE signal.