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Search results for: wavelet
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Year: 2011, Volume: 11, Number: 1
... here differentiation is impossible; - possible. 91(6 ), pp.932-936, August 2001. [18] A.G. Ushenko, "Correlation processing and wavelet analysis of VIII. CONCLUSION polarization images of biological tissues," Optics and Spectroscopy, vol. 91(5 ), pp.773-778, June 2002. Analyzed ...
Year: 2012, Volume: 12, Number: 1
... R. S. Chen, "Preconditioning 2.5 Matrix Interpolation Technique for Fast Analysis of Scattering Over WCIP Broad Frequency Band", IEEE Transactions on Antennas and J Wavelet Expansion [23] Propagation, vol. 58, no. 7, pp. 2484 – 2487, July 2010 2 [4] Y. Du ...
Year: 2019, Volume: 19, Number: 4
... of the peak values before and after spline reference [16], and a fast algorithm for quadratic and cubic interpolation are compared. Simulation results show that spline wavelets was provided in reference [17]. Among calculated peak points using splines and real peak values of a these, the spline curve makes it easy to ...
64. PID Neural Network Based Speed Control of Asynchronous Motor Using Programmable Logic Controller
Year: 2011, Volume: 11, Number: 4
... to improve the results of the PI regulator to control of Programmable logic controller (PLC) was used as real time induction machine speed [4]. A wavelet adaptive PID controller. The real time control results show that reference controller, based on reinforcement learning is used to speed successfully maintained under various load conditions. ...
Year: 2013, Volume: 13, Number: 3
... approach for representing a quantum computation in this field generated by the more quantum image and then discuss the proposed technique for efficient quantum versions of the Fourier transform, wavelet quantum image filtering. In Section IV we provide the transform [5] and of the discrete cosine transform [6-7]. results of applying various filters ...
Year: 2019, Volume: 19, Number: 2
... was utilized to detect and classify the disturbances. This method manages to classify the disturbances with accuracy between 94% and 99%. In [16], wavelet transforms and decision tree classifier were employed to detect power quality events. In this study, online and offline configurations were tested to recognize the disturbances in a ...
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: 2019, Volume: 19, Number: 3
... monotonic illumination flow to detect a copy-move forgery from MPEG videos. In changes and contrast variation; however, it is sensitive to [23] moment feature of wavelet co-efficients and optical noise and small gray-level fluctuations. Moreover, LBP also flow are combined with SVM to detect the facial expression does not incorporate the edge strengths ...
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 ...
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