33 results for “substantial improvement”

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Research ArticleOpen accessIn the abstractError Vector Normalized Adaptive Algorithm Applied to Adaptive Noise Canceller and System IdentificationZayed RamadanProblem statement: This study introduced a variable step-size Least Mean-Square (LMS) algorithm in which the step-size is dependent on the Euclidian vector norm of the system output error. The error vector includes the last L values of the error, where L is a parameter to be chosen properly together with other parameters in the proposed algorithm to achieve a trade-off … …American Journal of Engineering and Applied Sciences, Vol. 3, Issue 4 · 5 Nov 2010 · 8,216 accessesView PDF Cite

Research ArticleOpen accessIn the abstractA Robust Modification of the Goldfeld-Quandt Test for the Detection of Heteroscedasticity in the Presence of OutliersMd. Sohel Rana, Habshah Midi, A.H.M. Rahmatullah ImonProblem statement: The problem of heteroscedasticity occurs in regression analysis for many practical reasons. It is now evident that the heteroscedastic problem affects both the estimation and test procedure of regression analysis, so it is really important to be able to detect this problem for possible remedy. The existence of a few extreme or unusual observations that we often call … …Journal of Mathematics and Statistics, Vol. 4, Issue 4 · 31 Dec 2008 · 7,941 accessesView PDF Cite

Research ArticleOpen accessAll words, across the recordPower Quality Improvement Using DVRC. Benachaiba, B. FerdiVoltage sags and swells in the medium and low voltage distribution grid are considered to be the most frequent type of power quality problems based on recent power quality studies. Their impact on sensitive loads is severe. The impact ranges from load disruptions to substantial economic losses up to millions of dollars. Different solutions have been developed to protect sensitive … …American Journal of Applied Sciences, Vol. 6, Issue 3 · 31 Mar 2009 · 8,045 accessesView PDF Cite