@article{MAKHILLIJSSCEA20147328729,
    title = {Feature Extraction of Power Quality Waveforms and Energy Coefficient Analysis Using Integer Lifting Wavelet Transform},
    journal = {International Journal of System Signal Control and Engineering Application},
    volume = {7},
    number = {3},
    pages = {49-51},
    year = {2014},
    issn = {1997-5422},
    doi = {ijssceapp.2014.49.51},
    url = {https://makhillpublications.co/view-article.php?issn=1997-5422&doi=ijssceapp.2014.49.51},
    author = {P. and},
    keywords = {Power quality,power system disturbances,integer lifting wavelet transform,lifted wavelet energy,lifting wavelet transform},
    abstract = {This study advances a novel method for power quality monitoring by using Integer Lifting Wavelet Transform (ILWT). ILWT based wavelet uses time domain for its integer calculation and could lessen calculation complexity due to its structure, compared with Modified Wavelet Transform (MWT) which depends on floating point coefficients. The whole method is tested over sample disturbances like voltage sag, voltage swell and harmonics. Energy analysis of approximation and detailed coefficients indicates that the proposed method is superior to MWT.}
    }