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Slantlet Transform: An Efficient Approach for Compression and De-noising of Power Quality Events
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 91 - Number 4 |
| Year of Publication: 2014 |
| Authors: Vijayashekhar S S, Balasubramanya Vasista, Vadiraj N. Sansthanik |
10.5120/15871-4816
|
Vijayashekhar S S, Balasubramanya Vasista, Vadiraj N. Sansthanik . Slantlet Transform: An Efficient Approach for Compression and De-noising of Power Quality Events. International Journal of Computer Applications. 91, 4 ( April 2014), 27-31. DOI=10.5120/15871-4816
Abstract
The Slantlet Transform (SLT) is an orthogonal Discrete Wavelet Transform (DWT) having two zero moments with improved time localization. SLT retains usual characteristics of filter bank implementation with a scale dilation factor of two. The basis is not based on iterated filter bank like DWT; instead, different filters are used for each scale. This paper proposes the De-noising method of Power system disturbances through signal decomposition, thresholding of slantlet transform coefficients and signal reconstruction. Slantlet transform coefficients having values below the threshold are discarded and above are retained. The cost for data storing and transmitting is competently reduced when Compared to the energy retained of the compressed Power Quality (PQ) disturbance signals and at no cost De-noising is happening through thresholding.
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