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1

PQ data compression algorithm with modified quantizer and adaptive band logic using DTCWT

Prathibha E., Manjunatha A., Raj C. P.

Archives of Electrical Engineering

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2018

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Vol. 67, nr 1

207--223

EN

Abstract:With growing demand for energy, power generated in renewable sources at various locations are distributed throughout the power grid. The power grid known as the smart grid needs to monitor power generation and its smart distribution. Smart meters provide solutions for monitoring power over smart grids. Smart meters need to continuously log data and at every source there is a large amount of data generated that needs to be compressed for both storage and transmission over the smart grid. In this paper, a novel algorithm for PQ data compression is proposed that uses the Dual Tree Complex Wavelet Transform (DTCWT) for sub-band computation and a modified quantizer is designed to reduce subband coefficient limits to less than 4 bits. The Run Length Encoding (RLC) and Huffman Coding algorithm encode the data further to achieve compression. The performance metrics such as a peak-signal-to-noise ratio (PSNR) and compression ratio (CR) are used for evaluation and it is found that the modified DTCWT (MDTCWT) improves PSNR by a factor of 3% and the mean squared error (MSE) by a factor of 16% as compared with the DTCWT based PQ compression algorithm.

2

Suppression method of partial-discharge interference signal based on the combination of morphological filters and complex wavelet transform

Wang Y., Zhang D., Lu G., Huang Y.

Przegląd Elektrotechniczny

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2013

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R. 89, nr 4

123-128

EN

Solving the periodic narrowband interference and suppression of white noise during the actual detection of partial discharge (PD) are difficult. In this paper, a method of suppressing the interference signal method based on the combination of morphological filters and complex wavelet transform is proposed. Generalized morphological filters based on the principle of mathematical morphology were structured and set as a pre-filter unit to realize pre-treatment of the original PD signals, and complex wavelet transform was then employed to process the PD signals. Finally, denoised PD signals were obtained. Applying this method to deal with the noise in the simulation and acquisition of PD signals, the results showed that the method can restrain effectively the PD periodic narrowband interference and white noise. Compared with the same wavelet base of the wavelet and the complex wavelet denoising methods, this method reduces energy loss and retains well the PD signals characteristics.

PL

W artykule opisano metodę tłumienia zakłóceń (zakłócenia wąskopasmowe, biały szum) w sygnałach, w przypadku wykrycia wyładowań niezupełnych. W rozwiązaniu wykorzystano kombinację filtrów morfologicznych, działających jako pre-filtr i złożoną transformatę falkową do dalszej obróbki sygnałów. Wykonano badania symulacyjne, potwierdzające skuteczność filtracji.

3

Multiscale modeling of local directional mammogram findings

Jasionowska M, Przelaskowski A.

Journal of Medical Informatics & Technologies

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2011

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Vol. 17

183--190

EN

In this paper two multiresolution transforms (discrete 2D wavelets and complex wavelets) are compared for their capabilities to enhance local texture orientation of mammograms. The local orientation of image texture is useful feature to detect one of the typical types of abnormal findings in mammography - architectural distortions. Our research was directed to define an effective, more reliable directional model of local directional findings in mammograms. Computer-aided diagnosis was considered as a concept of accurate model application.