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Search results for: wavelet
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Year: 2022, Volume: 22, Number: 2
... To reduce the adverse effects of the inherent methods contain Empirical Mode Decomposition (EMD) [1- stochastic volatility and uncontrollability of new energy on 2] and Wavelet decomposition (WD) [3-4], multi-factor wind energy forecasting, this paper starting from the two PCA analysis [5 ], and so on. ...
Year: 2022, Volume: 22, Number: 1
... , H. Chen, "Time series prediction of wireless Things (IoT): Smart home context," Journal of Computer Information network traffic flow based on wavelet analysis and BP neural Systems, vol. 60, no. 6, Nov. 2020, pp. 507 – 517. network," Journal of ...
Year: 2022, Volume: 22, Number: 1
... forgery. detect a forgery in the presence of blurring and contrast Different classifiers have been exercised in the literature enhancement. Wu et al., used Dual-Tree Complex Wavelet for different applications in the various fields of life. For transform (DT-CWT) to detect image forgeries [19]. example SVM classifier has been used ...
Year: 2021, Volume: 21, Number: 4
... refers to the reconstruction of magnetic resonance exploiting the sparsity of sparsifying transform (e.g., images from partially sampled k-space data. The k-space data Discrete Cosine or wavelet transform) and incoherent reduces reconstruction processing time but at the cost of sampling methods. The physical limitations of MRI slow increasing artifacts- especially with the higher ...
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: 2021, Volume: 21, Number: 4
... related technical summary for the following hybrid forecasting scheme: First, high frequency denoising of four categories: based on physical information, mining wind power sequence using synchrosqueezed wavelet information by statistical methods, the application of transforms (SWT), reducing the influence of noise on intelligent algorithms, and combined models. At present, ...
Year: 2021, Volume: 21, Number: 2
... matrix. The transfer time in these simulation-based STS Daubechies wavelets of order 2 (db2) and order 8 ... 9]. Line voltages are detection algorithm based on wavelet transform (WT) transformed into a synchronously rotating ... A. Uçar, and Y. Demir, "Wavelet-based feature extraction [34] M. Gok and ...
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: 2
... [2] S. Arivazhagan and L. Ganesan, "Texture classification using wavelet embedding based on scale-adapted characteristic regions," transform," Pattern Recognition Letters ... . Zhang, J. Yang, and W. Su, "Research on wavelet-based contourlet transform algorithm for adaptive optics image denoising," REFERENCES Optik, vol ...
Year: 2021, Volume: 21, Number: 1
... for both gray and Examples of such transforms are the Fourier transform (FT) color images. The results are comparable to those of most [23], wavelet transform (WT) [24], and discrete cosine recent studies. transform (DCT) [25], [26]. From the information-loss ...
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