Signal Denoising Using EMD and Hilbert Transform and Performance Evaluation with K-S Test

Chaitanya Kumar. N

Abstract: The Hilbert-Huang transform (HHT) is viewed as a promising method to process the nonlinear and non-stationary signal. EMD method could decompose the signal into a number of IMFs among which are there several illusive components originate from the transform. Need to solve those illusive components. Here we introduced the approach of applying Kolmogorov-Smirnov test to the identification of illusive component in IMF components. The signal simulate test and faults signal analysis prove that this improved method to deal with the illusive components and mode confusion has an obvious advantage and reasonability.

Keywords: faults signal analysis, empirical mode decomposition, kolmogorov-smirnov test, Improved Hilbert Huang transform

How to Cite?: Chaitanya Kumar. N, "Signal Denoising Using EMD and Hilbert Transform and Performance Evaluation with K-S Test", Volume 2 Issue 11, November 2013, International Journal of Science and Research (IJSR), Pages: 190-192, https://www.ijsr.net/getabstract.php?paperid=02013400, DOI: https://dx.doi.org/10.21275/02013400