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Search results for: wavelet
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Year: 2021, Volume: 21, Number: 2
... in [12]. The LPF is proved to be effective. In [13], the authors proposed the power smoothing I. INTRODUCTION of WECS by wavelet transform. The authors inferred that The concept of microgrids employing non-conventional wavelet transform based smoothing is efficient compared to energy sources has drawn the attention of researchers the ...
Year: 2021, Volume: 21, Number: 4
... and application of the SVM algorithm. 1 N N 1 Network Scan Another approach estimates the applicability of the two- 1 N N N Diagonal Scan level stationary wavelet entropy (SWE) method to extract N 1 1 1 Amplification DDoS (DNS) N 1 1 N Amplification DDoS (NTP) specific features and apply ...
Year: 2008, Volume: 8, Issue: 1
... shapes and increased accuracy of processing due to re-sampling at custom resolutions. Although there are thorough procedures that allow for modeling shapes using splines (see B-Splines) or wavelets Figure 1. Data Reduction, 1st filter: points that are closer than a given threshold eps with respect to their neighbors may be removed. [5 ...
Year: 2017, Volume: 17, Number: 1
... a dominant for low load conditions, transient analysis is discussed. component in motor vibration signal has pure periodical Advanced techniques like Digital, Continuous or Harmonic nature: Wavelet Transforms can be applied to obtain reliable broken xh (t) € X m cos€t €, (1) bar feature during a startup [13-19] ...
Year: 2014, Volume: 14, Number: 1
... Number 1, 2014 fiducial points, such as eyes, nose and mouth, and applies depends on large differences in edge response, it fails to the Gabor wavelet in those areas to extract the feature of generate consistent code in smooth or near-smooth regions. each point, called Gabor jets. Each image is represented as ...
Year: 2016, Volume: 16, Number: 4
... There are some research works that propose to combine HOG features with other feature extraction methods, such as LBP [17], Gabor [18] and Discrete Wavelet Transform (DWT) [19]. The advantage of combining with other methods is that the combined features inherit the beneficial properties from both methods. However ...
Year: 2019, Volume: 19, Number: 2
... P. Kanirajan and V. Suresh Kumar, "Power quality disturbance model fitting of a signal, is a speed-up of 37 times. detection and classification using wavelet and RBFNN," Appl. Soft Comput., vol. 35, pp. 470 €“ 481, Oct. 2015, Demonstrating the power in the ...
Year: 2010, Volume: 10, Issue: 4
... , vol. state, contains phase-modulating optically anisotropic 91(6 ), pp.932-936, August 2001. [17] A.G. Ushenko, "Correlation processing and wavelet analysis of network of biological crystals. polarization images of biological tissues," Optics and Spectroscopy, ¾ Ascertained and grounded is a set of criteria for vol ...
Year: 2019, Volume: 19, Number: 4
... , pp. 1612-1615. doi: [24] Y. Kopsinis and S. McLaughlin, "Development of EMD-Based 10.1109/ICCSEC.2017.8446974. Denoising Methods Inspired by Wavelet Thresholding," IEEE [12] J. Liu and L. Luo, "Noise characteristics of the new converter Transactions on Signal Processing, vol. ...
80. A Method Based on Lorenz Disturbance and Variational Mode Decomposition for Wind Speed Prediction
Year: 2019, Volume: 19, Number: 2
... . L. Cheng, S. Lei, "Wind speed optimized artificial intelligence algorithm," Energy, vol. 160, pp. 87- prediction with wavelet time series based on Lorenz disturbance," 100, 2018. doi:10.1016/j.energy.2018.07.005 Advances in Electrical and Computer Engineering, vol. 17, pp.107 ...
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