Applying the Multi-Scale Wavelet-Transform to the Identification of Non-linear Time-varying Plants

Bakhtadze, Natalia; Sakrutina, Ekaterina

doi:10.1016/j.ifacol.2016.07.912

Cited by 18 publications

(4 citation statements)

References 22 publications

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“…The simulated values showed a slight difference from both the measured values and values simulated by wavelet transform. The Linghe estuary had the highest gross ecosystem service value (3,199,676,375 USD), followed by Yalujiang estuary (3,193,851,133 USD) with a narrow margin. The Yongyuanjiao wetland remained the lowest ecosystem service value (8,414,239 USD).…”

Section: The Ecosystem Service Values Stimulated By Wavelet Transformmentioning

confidence: 99%

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Addressing the Modelling Precision in Evaluating the Ecosystem Services of Coastal Wetlands

et al. 2018

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Wetlands are one of the world's most productive ecosystems, and therefore it is crucial that management decisions regarding wetlands incorporate awareness of accurate assessments of the value of their respective ecosystem services. In this paper, we seek to improve the modelling precision in the scale transform process of ecosystem service evaluation. Firstly, we selected eight services as the criteria to calculate wetland ecosystem values: substance production, flood control, carbon sequestration, gas regulation, climate regulation, wave reduction, adding new lands, recreation and education. Then, six coastal wetlands of Liaoning province were chosen as the case study areas, and their ecosystem values were calculated by empirical method. Next, we simulated ecosystem values of the six cases by two spatial-scales transform methods named meta-analysis and wavelet transform. Finally, we compared the two groups of simulated values with the empirical measured values to examine their evaluation precisions. The results indicated that the total precision of the wavelet transform model (0.968) was higher than that of meta-analysis (0.712). In addition, the simulated values of single services such as substance production, flood control, carbon sequestration, gas regulation, and climate regulation were closer to the measured values using wavelet transform model. This research contributes to identifying an evaluation model with higher precision for evaluating wetland ecosystem services in the process of scale transform.

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Section: The Ecosystem Service Values Stimulated By Wavelet Transformmentioning

confidence: 99%

“…Increasing attention has been paid to the evaluation of wetland ecosystem services from resource managers, researchers, and the wider public [1][2][3][4][5]. The evaluation can monetize and quantitatively illustrate the values of wetland ecosystem services, strengthening the public's awareness of protecting wetlands [6,7].…”

Section: Introductionmentioning

confidence: 99%

Addressing the Modelling Precision in Evaluating the Ecosystem Services of Coastal Wetlands

et al. 2018

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“…In the digital signal processing, wavelet [12] functions are used to separate the details and local properties of signals, and a scaling function is used to approximate signals. In the selection of wavelet functions, special attention was paid to their characteristics such as smoothness, carrier size, and the number of zero-value cases [6].…”

Section: Construction Of the Haar's-waveletmentioning

confidence: 99%

“…i a Doubechi scaling coefficients, i d Doubechi Wavelet coefficients. These equations (12) provide fast algorithms for calculating wavelet coefficients. (12) According to the formula Doubechi wavelet changes based on the following links:…”

Section: Construction Of Doubechi Waveletsmentioning

confidence: 99%

Using biomedical signals with the help of fragmentary-wavelets on digital processing

Juraev

Kholmurodova

et al. 2022

ijhs

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This article is devoted to rebuilt for an important fragmentary of wavelet models of Biomedical Signal Processing. These models were built using Haar’s fragmentary-unchanged wavelets as well as Doubechi wavelets. The Haar’s fragmentary-unchanged wavelets models has a high accuracy for Biomedical signals on digital work, and this provides doctors for making any useful decisions about the patients diseases. For example, the first signal of Gastroenterology experimental information was took, and there were built on the basis of this information the of fragmentary-unchanged and Doubechi wavelet models and evaluated their errors. It is known that modification of signals using fragmentary wavelets results in formation of orthonormal wavelets, due to there will be sharp increase in errors along the signal graph, thus in order to reduce errors Doubechi wavelets were used and achieved the goal.

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Study of the Mechanisms of Perspective Flexible Manufacturing System for a Newly Forming Robotic Enterprise

Serebrenniy

Лапин

Mokaeva

2020

Advances in Intelligent Systems and Computing

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Applying the Multi-Scale Wavelet-Transform to the Identification of Non-linear Time-varying Plants

Cited by 18 publications

References 22 publications

Addressing the Modelling Precision in Evaluating the Ecosystem Services of Coastal Wetlands

Addressing the Modelling Precision in Evaluating the Ecosystem Services of Coastal Wetlands

Using biomedical signals with the help of fragmentary-wavelets on digital processing

Study of the Mechanisms of Perspective Flexible Manufacturing System for a Newly Forming Robotic Enterprise

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