Showing 81 - 100 results of 114 for search '"wavelet analysis"', query time: 0.07s Refine Results
  1. 81

    Study on Missing Data Filling Algorithm of Nuclear Power Plant Operation Parameters by Tianshu Wang, Ren Yu, Qiao Peng

    Published 2022-01-01
    “…Firstly, to locate the missing data accurately the detecting algorithm for missing data of the NPP operation parameters based on wavelet analysis. Different judging basis is proposed for discrete and continuous missing respectively. …”
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  2. 82

    The Vibration Characteristics of Ground of Rock Blasting in Silt-Rock Strata by Tao Yin, Chuanbo Zhou, Changqing Zheng, Jugen Fu, Ziru Guo

    Published 2021-01-01
    “…According to the measured data of blasting vibrations at the sites, the waveform duration of vibration acceleration and the distribution characteristics of dominant frequency of vibration velocity were analyzed, the energy characteristics of vibration velocity were researched by wavelet analysis, and the attenuation laws of vibration velocity were studied by dimensional analysis (DA). …”
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  3. 83

    Pyramidal Watershed Segmentation Algorithm for High-Resolution Remote Sensing Images Using Discrete Wavelet Transforms by K. Parvathi, B. S. Prakasa Rao, M. Mariya Das, T. V. Rao

    Published 2009-01-01
    “…In this paper, an efficient segmentation method for high-resolution remote sensing image analysis is presented. Wavelet analysis is one of the most popular techniques that can be used to detect local intensity variation and hence the wavelet transformation is used to analyze the image. …”
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  4. 84

    Forecasting Daily Precipitation Using Hybrid Model of Wavelet-Artificial Neural Network and Comparison with Adaptive Neurofuzzy Inference System (Case Study: Verayneh Station, Naha... by Abazar Solgi, Vahid Nourani, Amir Pourhaghi

    Published 2014-01-01
    “…In the present study, wavelet analysis combined with artificial neural network and finally was compared with adaptive neurofuzzy system to predict the precipitation in Verayneh station, Nahavand, Hamedan, Iran. …”
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  5. 85

    Study on Variation Law and Influencing Mechanism of Water and Sediment in Henan Reaches of the Yellow River by XUAN Xiaobo, DOU Ming, LIU Bojun

    Published 2024-01-01
    “…The Henan reaches of the Yellow River is a typical wandering reach, which has a severe impact on the river habitat due to the severe variation of water and sediment, frequent swing of the main channel, and serious deformation of the riverbed.Based on the water and sediment data of Xiaolangdi, Huayuankou, and Gaocun hydrological stations from 1960 to 2019, this paper explores the variation cycle characteristics of water and sediment in the Henan reaches of the Yellow River by using statistical methods such as Mann-Kendall test, sliding T test, and wavelet analysis.The contribution rate of rainfall and human activities to the decrease in runoff and sediment transport in the Henan reaches of the Yellow River is quantitatively evaluated by the double mass curve method.The results show that the decreasing trend of annual sediment transport is greater than that of annual runoff in the Henan reaches.From Xiaolangdi to Huayuankou, erosion and deposition are basically balanced, and from Huayuankou to Gaocun, deposition is dominant.The flood season in the Henan reaches is dominated by sediment deposition, and the non-flood season is dominated by scour.The sediment transport in Xiaolangdi station changed greatly in 1997, while the runoff and sediment transport in Huayuankou and Gaocun stations changed significantly in 1985.The water and sediment regulation greatly increases runoff instead of sediment transport.Human activities play a leading role in the decrease in runoff and sediment transport in the Henan reaches of the Yellow River, with an average contribution rate of 80.94% to runoff and 94.95% to sediment transport in the Henan reaches of the Yellow River.…”
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  6. 86

    Research on Wavelet Singularity Detection Based Fault-Tolerant Federated Filtering Algorithm for INS/GPS/DVL Integrated Navigation System by Jianhua Cheng, Daidai Chen, Rene Landry Jr., Lin Zhao, Dongxue Guan

    Published 2014-01-01
    “…To solve this problem, a wavelet analysis and signal singularities based soft fault detection method are given out. …”
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  7. 87

    Dynamic Response and Its Frequency Domain Characteristics of Lateritic Soil Subgrade under Traffic Load during Construction by Wei Bai, Kun Mu, Lingwei Kong, Wenbo Zhang, Xiu Yue

    Published 2020-01-01
    “…The distribution law of the dynamic response and its frequency domain characteristics obtained by wavelet analysis emerged. The vibration of the subgrade is clearly aggravated by the increase of speed and load. …”
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  8. 88

    Study on Spatio-temporal Variation Characteristics of Hydro-meteorological Factors in the Source Region of Yellow River by WANG Dong, WU Dongdong, JIE Xiaobai, LI Xuehui

    Published 2020-01-01
    “…In order to understand the variation characteristics of drought and flood in the sourceregion of Yellow River sufficiently, based on the hydro-meteorological data of the source regionof Yellow River from 1961 to 2016, this paper analyzes the trend, mutation and periodicity ofannual precipitation, annual average temperature and annual runoff by the the Mann-Kendall method,Pettitt test and Morlet wavelet analysis method, and studies the spatial variation characteristicsof annual precipitation and annual average temperature through the Kriging interpolation and spatialvariation coefficient. …”
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  9. 89

    Market Power, NAIRU, and the Phillips Curve by Derek Zweig

    Published 2020-01-01
    “…We find weak evidence supporting the NAIRU theory from the simplistic model, but stronger evidence using BVAR. A wavelet analysis reveals that the short-run NAIRU theory and Phillips curve relationships may be time-dependent, while the long-run relationships are essentially vertical, suggesting instead that each relationship is primarily observed over the medium-term (2-10 years), though the economically significant medium-term region has narrowed in recent decades to roughly 4-7 years. …”
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  10. 90

    Spatial and Temporal Variability of Sea Surface Temperature in Eastern Marginal Seas of China by Renhao Wu, Jianmin Lin, Bo Li

    Published 2016-01-01
    “…In order to investigate the interannual variation of SST, the EMSC SST interannual index was constructed. Based on wavelet analysis, a significant peak around 3.3 years was found in the EMSC SST interannual index. …”
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  11. 91

    Diagnosis experience of traction engines of locomotives by Ngoulou-A-Ndzeli, V. Yu. Tetter, V. G. Shakhov

    Published 2019-03-01
    “…Authors propose a method and algorithms for the rapid diagnosis of locomotives traction engines based on duplication of main frequency channel by additional wavelet analysis and decision — making on the methodology of fuzzy logic. …”
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  12. 92

    Brueckner Events Oscillations in Solar Transition Region by Sima Zeighami, Ehsan Tavabi

    Published 2021-07-01
    “…Average of Doppler velocities in the first and second data for the three altitudes were obtained 35 and 80 km/s respectively. The results of wavelet analysis of fluctuations revealed dominant periods of 1.5, 3, 5 minutes. …”
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  13. 93

    Condition monitoring of urban rail transit by local energy harvesting by Mingyuan Gao, Yunwu Li, Jun Lu, Yifeng Wang, Ping Wang, Li Wang

    Published 2018-11-01
    “…An application case of the technology is introduced: the sensor nodes of the wireless sensor network are powered by the electromagnetic energy harvester and lithium battery with DC-DC boost converter, thereby continuously monitoring the railway track state; based on the Littlewood–Paley wavelet analysis of measured railway track acceleration data, the abnormal signal caused by the wheel out-of-roundness can be detected.…”
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  14. 94

    Quantitative Identification of Pulse-Like Ground Motions Based on Hilbert–Huang Transform by Zhen Liu

    Published 2021-01-01
    “…HHT can overcome the dependence of wavelet analysis on the selection of mother wave, and thus more complex velocity pulses can be identified. …”
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  15. 95

    Experiment Analysis of Drilling Feedback Signal from Simulation of Roadway Roof by Gang Guo, Haoyuan Zhao, Zhilong Qi, Chenjun Hu, Baofu Zhao, Shengzhi Wang

    Published 2022-01-01
    “…Well, through the extraction and comparison of the wavelet feature-scale entropy values, it is concluded that the wavelet analysis can be used as a reference rather than a decisive factor to determine the complete and broken layers. …”
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  16. 96

    Can system dynamics explain long-term hydrological behaviors? The role of endogenous linking structure by X. Zhou, Z. Sheng, K. Manevski, K. Manevski, K. Manevski, R. Zhao, R. Zhao, Q. Zhang, Y. Yang, S. Han, J. Liu, J. Liu, Y. Yang, Y. Yang, Y. Yang

    Published 2025-01-01
    “…Using the headwaters of Baiyang Lake in China as a case study, the endogenous linking structure of the hydrological system was gradually unraveled from 1982 to 2015 through wavelet analysis, Granger's causality test, and a system dynamics model. …”
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  17. 97

    Morphological variability of otolith organs in three congeneric Pagellus species by Bostanci Derya, Yedier Serdar, Türker Dilek, Işmen Ali

    Published 2024-04-01
    “…This is the first study to provide detailed morphological characters and wavelet analysis of left- and right-side otoliths in these three congeneric Pagellus species from the Aegean Sea.…”
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  18. 98

    Research on Revenue Insurance Premium Ratemaking of Jujube Based on Copula-Stochastic Optimization Model by Li-Mei Qi, Ruo-Yu Yao, Xing-Zhe Zhang, Yu-Jing Zhang, Xiao-Yin Wang, Jian-Ping Tao, Jia-Ming Zhu

    Published 2021-01-01
    “…In the study, firstly, wavelet analysis method was used to stabilize the jujube yield per unit area and the jujube price from 1997 to 2018 in Aksu region, Xinjiang, China. …”
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  19. 99

    Characteristics of Runoff Variation of Heishui River Basin in the Upper Reach of Minjiang River in Changing Environment by WANG Ning, WANG Wensheng, YU Siyi

    Published 2022-01-01
    “…This paper systematically analyzed the variation characteristics of runoff in the Heishui River Basin,the first tributary on the right bank upstream of Minjiang River,in a changing environment.The variation characteristics of runoff series were studied by using an improved heuristic segmentation algorithm,Mann-Kendall trend test,R/S analysis and wavelet analysis with the runoff data of Shaba hydrological station from 1960 to 2015.The results show the followings:① The abrupt change of annual runoff occurred in 1995.② The annual runoff showed a significant decrease trend with a decreasing rate of 0.32 m<sup>3</sup>/(s·a) in the past 56 years and may keep the decrease trend in the future.During 1960—1995,the annual runoff showed an insignificant decrease trend with a decreasing rate of 0.12 m<sup>3</sup>/(s·a),and the period of 1996—2015 witnessed an insignificant increase trend with an increasing rate of 0.80 m<sup>3</sup>/(s·a).③ Under the influence of environmental changes,the average annual runoff before the change point was larger than that after the point,whereas the inter-annual variation was smaller before the abrupt change.The intra-annual distribution form showed a double-peak curve before 1995 and a single-peak curve after 1995.The intra-annual variation range of runoff was significantly different before and after the change point,which could reduce flood control pressure in the basin but was not conducive to the utilization of water resources in non-flood seasons.④Annual runoff had multi-time-scale variation characteristics.During 1960—2015,the annual runoff had noticeable periods of 6 years,16 years and 28 years.Periods of 7 years and 16 years were found for 1960—1995 and 2 years and 5 years for 1996—2015.…”
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  20. 100

    The nexus between the financial development and CO2 emissions: fresh evidence through time–frequency analyses by Faik Bilgili, Erhan Muğaloğlu, Sevda Kuşkaya, Javier Cifuentes-Faura, Kamran Khan, Mohammed Alnour

    Published 2025-01-01
    “…In this research, the nexus between the domestic financial sector (total debt securities, loans, liabilities, and total financial assets) and Carbon dioxide emissions in the U.S. is investigated by Morlet wavelet analysis. Rest of the world: sector discrepancy transactions, rest of the world: debt securities and loans, gross domestic product, and the square of the gross domestic product, are control variables in the estimated models. …”
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