Article
Physics, Multidisciplinary
Awais Rasheed, Muhammad Osama, Muhammad Rafique, Aleem Dad Khan Tareen, Kashif Javed Lone, Shahzad Ahmad Qureshi, Kimberlee Jane Kearfott, Aftab Alam, Dimitrios Nikolopoulos
Summary: The study used continuous wavelet transform to analyze environmental radiations and identified anomalies related to seismic events. The results show that DB4 and SYM4 wavelets are good at identifying anomalies in original radon and thoron time series data, and SYM4 performs better for decomposed radon and thoron time series data.
Article
Multidisciplinary Sciences
Congqiang Hu, Na Qu, Shuai Zhang
Summary: This paper proposes an arc fault detection method based on continuous wavelet transform and deep residual shrinkage network, which achieves high accuracy in arc fault detection through data enhancement and model construction.
SCIENTIFIC REPORTS
(2022)
Article
Mathematics, Applied
Charles K. Chui, Qingtang Jiang, Lin Li, Jian Lu
Summary: This paper presents a direct method of signal separation based on the adaptive continuous wavelet-like transform (CWLT) by introducing two models for more accurate component recovery, enhancing time-frequency resolution and energy concentration.
APPLIED AND COMPUTATIONAL HARMONIC ANALYSIS
(2021)
Article
Optics
Kevin Rainey, Steve Gilbertson, Daniel Kalb, Thomas Beery
Summary: The study developed a method called Modulation Based Ranging (MBR) for directly measuring displacement of a moving surface in dynamic or high explosive driven experiments. It effectively overcame errors associated with integrating velocity history of objects undergoing non-radial flow, and demonstrated high accuracy in measuring displacement. The MBR technique showed excellent agreement with the Photonic Doppler Velocimetry (PDV) integrated velocity measurements in the absence of non-radial flow, and accurately measured true displacement of surfaces under strong non-radial components.
Article
Biology
Ab Waheed Lone, Nizamettin Aydin
Summary: This paper investigates the classification of Doppler signals using the wavelet scattering transform algorithm to detect blood clots in the human body. The results show that this algorithm performs well on small datasets and achieves high accuracy and low prediction loss through support vector machine and Gaussian process regression.
COMPUTERS IN BIOLOGY AND MEDICINE
(2023)
Article
Spectroscopy
Ruomei Zhao, Lulu An, Di Song, Minzan Li, Lang Qiao, Ning Liu, Hong Sun
Summary: This study utilized hyperspectral imaging system and closed chlorophyll fluorescence imaging system to extract fluorescence signals of Fv/Fm in potato crops. By applying continuous wavelet transform and partial least squares regression, detection models were established, with bior3.3-RF-PLS showing the best detection performance in predicting Fv/Fm.
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY
(2021)
Article
Engineering, Mechanical
H. P. Hong, X. Z. Cui, D. Qiao
Summary: This study introduces a new iterative algorithm based on discretized continuous wavelet transform (CWT) for simulating nonstationary non-Gaussian vector processes. The algorithm is designed for a CWT pair within the wavelet analysis framework, allowing for handling time-dependent and time-independent coherence. Applied to generate nonstationary winds and ground motions, the algorithm matches prescribed probability distributions and coherence functions.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2022)
Article
Mathematics
Oksana Mandrikova, Yuryi Polozov, Nataly Zhukova, Yulia Shichkina
Summary: This paper proposes a method to optimize the modeling of complex time series by using wavelet filtering and NARX networks. The method provides more accurate models and improves the efficiency of the forecasting process compared to traditional methods like ARIMA and RNN. Additionally, a data modeling scheme based on NARX and anomaly detection is developed, which is particularly relevant in geophysical monitoring.
Article
Plant Sciences
Chen Gu, Shu Ji, Xiaobo Xi, Zhenghua Zhang, Qingqing Hong, Zhongyang Huo, Wenxi Li, Wei Mao, Haitao Zhao, Ruihong Zhang, Bin Li, Changwei Tan
Summary: This study introduced the continuous wavelet transform algorithm and constructed models based on multiple growth stages to accurately predict rice yield. The combination of multiple growth stages significantly improved the model accuracy.
FRONTIERS IN PLANT SCIENCE
(2022)
Article
Engineering, Mechanical
Zhonghong Yan, Peipei Chao, Jingxuan Ma, Duanqian Cheng, Chuan Liu
Summary: This paper introduces a new method called Discrete Convolution Wavelet Transform (DCWT) for signal decomposition and reconstruction, which can decompose and reconstruct original signal by two groups of filters. The DCWT method can fast decompose signal to obtain its feature signals, and it will become a new idea of signal decomposing and identifying in practice.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2021)
Article
Engineering, Chemical
Yujia Liu, Xu Liu, Sifan Peng, Nan Gui, Xingtuan Yang, Jiyuan Tu, Shengyao Jiang
Summary: This paper proposes a fast region homogenization method to obtain particle information and quickly calculate homogenization information from particle motion images, accelerating the calculation speed. By analyzing particle trajectories and relative geometric relationships, a hash set is constructed in advance to quickly calculate regional homogenization parameters. Finally, different particle characteristics in different regions of the pebble bed are compared.
Article
Engineering, Biomedical
Okan Erkaymaz, Irem Senyer Yapici, Rukiye Uzun Arslan
Summary: This study investigates the impact of obesity on electroretinogram signals, utilizing analysis of a and b waves to examine different responses and finding that continuous wavelet transform provides better results for time-frequency analysis. Mexican hat wavelet is identified as the most suitable for analyzing obesity effects, and it is shown that the b wave is significantly affected by obesity for the maximal combined response.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL
(2021)
Article
Engineering, Biomedical
Okan Erkaymaz, Irem Senyer Yapici, Rukiye Uzun Arslan
Summary: The study found that obesity has varying effects on different responses of electroretinogram signals, with continuous wavelet transform proving to be the most effective method for extracting time-frequency results. The usage of Mexican hat as a wavelet was identified as the most suitable for analyzing the impact of obesity, with the b-wave being significantly affected by obesity in maximal combined response. The novelty of the research lies in being the first attempt to address the effects of obesity on electroretinogram signals, showing adverse effects on the signals.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL
(2021)
Article
Engineering, Multidisciplinary
Soheil Sadeghi Eshkevari, Liam Cronin, Thomas J. Matarazzo, Shamim N. Pakzad
Summary: This study presents an approach for bridge modal identification using asynchronous mobile data, which estimates high-resolution absolute value of the operational mode shapes. The method successfully identifies the natural frequencies and absolute value of the mode shapes with high resolution and accuracy, and can reconstruct 3D representation of the mode shapes by including data from various bridge lanes.
STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL
(2023)
Article
Computer Science, Artificial Intelligence
Lianshan Liu, Lingzhuang Meng, Yanjun Peng, Xiaoli Wang
Summary: The study introduces a data hiding scheme based on U-Net and wavelet transform, which achieves data hiding and extraction through jointly trained hidden and extraction networks. Experimental results demonstrate better data invisibility and more accurate data extraction compared to traditional schemes.
KNOWLEDGE-BASED SYSTEMS
(2021)
Article
Chemistry, Physical
Guang-Hua Chen, Xin-Yuan Bai, Wen-Jie Li, Ying-Ying Du, De-Qu Lin, Hai-Yang Li, Jia-Ou Wang, Hai-Jie Qian, Rui Wu, Kurash Ibrahim, Hong-Nian Li
JOURNAL OF PHYSICAL CHEMISTRY C
(2017)
Article
Optics
Jing Wang, Shi Xing Tao, Guang Hua Chen, Qi Xian Peng
OPTICS COMMUNICATIONS
(2017)
Article
Physics, Fluids & Plasmas
Jia Kun Dan, Xian Bin Huang, Xiao Dong Ren, Guang Hua Chen, Qiang Xu, Kun Lun Wang, Kai Ouyang, Bing Wei
PHYSICS OF PLASMAS
(2017)
Article
Oncology
Lui Ng, Timothy Ming-Hun Wan, Johnny Hon-Wai Man, Ariel Ka-Man Chow, Deepak Iyer, Guanghua Chen, Thomas Chung-Cheung Yau, Oswens Siu-Hung Lo, Dominic Chi-Chung Foo, Jensen Tung-Chung Poon, Wai-Keung Leung, Roberta Wen-Chi Pang, Wai-Lun Law
Article
Nanoscience & Nanotechnology
Ying-Ying Du, Guang-Hua Chen, Wen-Jie Li, Xin-Yuan Bai, De-Qu Lin, Huanxin Ju, Shanwei Hu, Qian Xu, Yan Wang, Xiong Li, Junfa Zhu, Hong-Nian Li
Article
Physics, Multidisciplinary
Ying-Ying Du, De-Qu Lin, Guang-Hua Chen, Xin-Yuan Bai, Long-Xi Wang, Rui Wu, Jia-Ou Wang, Hai-Jie Qian, Hong-Nian Li
Article
Instruments & Instrumentation
Jing Wang, Shouxian Liu, Jianzhong Li, ShiXing Tao, Guanghua Chen, Xiangyang Deng, Qixian Peng
REVIEW OF SCIENTIFIC INSTRUMENTS
(2019)
Article
Nanoscience & Nanotechnology
Ying-Ying Du, Wen-Jie Li, Guang-Hua Chen, De-Qu Lin, Long-Xi Wang, Rui Wu, Jia-Ou Wang, Hai-Jie Qian, Kurash Ibrahim, Hong-Nian Li
Article
Chemistry, Multidisciplinary
Guang-Hua Chen, De-Qu Lin, Ying-Ying Du, Long-Xi Wang, Hai-Yang Li, Jia-Ou Wang, Rui Wu, Hai-Jie Qian, Kurash Ibrahim, Hong-Nian Li
Article
Chemistry, Physical
De-Qu Lin, Long-Xi Wang, Cheng-Hui Song, Ying-Ying Du, Guang-Hua Chen, Chen Liu, Jia-Ou Wang, Rui Wu, Hai-Jie Qian, Kurash Ibrahim, Hong-Nian Li
Summary: The study found that the maximum stoichiometry achievable by inserting K atoms into a PC71BM film is K-9-10PC71BM, while a K9PC71BM molecule exhibits high gravimetric capacity for hydrogen storage. Considering the poor crystallinity of solid PC71BM, there is a potential for achieving a gravimetric capacity >7 wt% in experiments.
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
(2021)
Article
Instruments & Instrumentation
Jue Zhang, Xincai Zhao, Guanghua Chen, Qixian Peng
Summary: A dual-channel FR method has been proposed for measuring pulsed magnetic fields in a strong electromagnetic environment, achieving more stable and precise measurements than conventional methods and utilizing terbium gallium garnet for higher sensitivity. The method successfully measured the variation in magnetic flux density of capacitively driven pulsed magnetic fields.
REVIEW OF SCIENTIFIC INSTRUMENTS
(2021)
Article
Optics
Yu Yong, Li Qinming, Yang Jiayue, Wang Guanglei, Shi Lei, Ding Hongli, Tao Kai, Tang Zhenxing, He Zhigang, Chen Zhichao, Tian Yuhuan, Dai Dongxu, Wu Guorong, Zhang Weiqing, Yang Xueming, Feng Chao, Chen Si, Wang Zhen, Gu Duan, Chen Jie, Liu Xiaoqing, Lan Taihe, Feng Lie, Zhang Wenyan, Zhong Shaopeng, Zhang Junqiang, Li Lin, Xiao Chengcheng, Li Hao, Zhao Huan, Chen Guanghua, Zhu Haijun, Ding Jianguo, Huang Maomao, Zhang Wei, Lai Longwei, Yang Fubin, Wang Guanghong, Xiang Shengwang, Hu Xiao, Liu Yiyong, Sun Sen, Gao Fei, Jiang Zhiqiang, Zhou Xiaoxuan, Liu Yongfang, Wu Yonghua, Chen Zhihao, Wang Ruiping, Huang Dazhang, Zhang Meng, Deng Haixiao, Li Bin, Lin Guoqiang, Yu Luyang, Yan Yingbing, Yan Shanchuan, Xia Xiaobin, Zhou Qiaogen, Liu Bo, Gu Qiang, Gu Ming, Fang Guoping, Leng Yongbin, Yin Lixin, Wang Dong, Zhao Zhentang
CHINESE JOURNAL OF LASERS-ZHONGGUO JIGUANG
(2019)
Article
Optics
Shengfu Li, Rongbo Wang, Guanghua Chen
Proceedings Paper
Optics
Shengfu Li, Yu Zhao, Guanghua Chen, Zhenxiong Luo, Yan Ye
LIDAR IMAGING DETECTION AND TARGET RECOGNITION 2017
(2017)
Proceedings Paper
Optics
Liu Shouxian, Li Yu, Li Zeren, Chen Guanghua, Peng Qixian, Lei Jiangbo, Liu Jun, Yuan Shuyun
SELECTED PAPERS FROM THE 31ST INTERNATIONAL CONGRESS ON HIGH-SPEED IMAGING AND PHOTONICS
(2017)
