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Reseach Article

Enhancement of Performance Measures using EMD in Noise Reduction Application

by Kusma Kumari Cheepurupalli, Raja Rajeswari Konduri
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 70 - Number 5
Year of Publication: 2013
Authors: Kusma Kumari Cheepurupalli, Raja Rajeswari Konduri
10.5120/11956-7790

Kusma Kumari Cheepurupalli, Raja Rajeswari Konduri . Enhancement of Performance Measures using EMD in Noise Reduction Application. International Journal of Computer Applications. 70, 5 ( May 2013), 10-14. DOI=10.5120/11956-7790

@article{ 10.5120/11956-7790,
author = { Kusma Kumari Cheepurupalli, Raja Rajeswari Konduri },
title = { Enhancement of Performance Measures using EMD in Noise Reduction Application },
journal = { International Journal of Computer Applications },
issue_date = { May 2013 },
volume = { 70 },
number = { 5 },
month = { May },
year = { 2013 },
issn = { 0975-8887 },
pages = { 10-14 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume70/number5/11956-7790/ },
doi = { 10.5120/11956-7790 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:32:34.648462+05:30
%A Kusma Kumari Cheepurupalli
%A Raja Rajeswari Konduri
%T Enhancement of Performance Measures using EMD in Noise Reduction Application
%J International Journal of Computer Applications
%@ 0975-8887
%V 70
%N 5
%P 10-14
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Empirical Mode Decomposition (EMD) has been used effectively in the analysis of non-linear and non-stationary signals. As an application in Robust Signal Processing, in this paper we used this method to reduce noise from a corrupted signal which is obtained from a disaster environment. Conventional adaptive algorithms exhibit poor performance if we consider the signal from a real environment. In this paper it has been described how EMD can be applied for noise reduction by breaking the signal down into its components and how it can help in removing the noisy components from the original signal.

References
  1. C. Britton Rorabaugh, "DSP Primer" Edition, Mc Graw Hill Education publication, 2005.
  2. N. E. Huang, Z. Shen, S. R. Long, M. L. Wu, H. H. Shih, Q. Zheng, N. C. Yen, C. C. Tung and H. H. Liu, "The empirical mode decomposition and Hilbert spectrum for non-linear and non-stationary time series analysis," Proc. Roy. Soc London A, Vol. 454, pp. 903–995, 1998.
  3. Widrow, B. and M. E. Hoff Tr. "Adaptive Switching Circuits," IRE WESCON, Rec. , pt. 4, pp 96-104, 1960.
  4. Yuefei Zhang, Mei Xie, Ling Mao and Dongming Tang "An Adaptive Digital Image Stabilization based on Empirical Mode Decomposition", 978-1-4244-8223- 8/101$26. 00 IEEE ©2010
  5. Ying He, Hong He, Li Li, Yi Wu, Hongyan Pan, "The Applications and Simulation of Adaptive Filter in Noise Cancelling", International Conference on Computer Science and Software Engineering, 2008.
  6. Liu Xin-xia, Han Fu-lian, Wang Jin-gui "Wavelet Extended EMD Noise Reduction Model for Signal Trend Extraction", Handan Technology Bureau Project, 2009.
  7. Monson Hayes H. "Statistical Digital Signal Processing and Modelling" John Wiley & Sons Inc, Kundli, 2002.
  8. Emmanuel C. Ifeachor et. al "Digital Signal Processing A practical approach" Pearson Education, 2003.
  9. V. UdayShankar, "Modern Digital Signal Processing" PHI, Second Edition, April 2012.
  10. Ming-Huan Lee, et. al. "Hardware Implementation of EMD Using DSP and FPGA for Online Signal Processing" , IEEE Transactions on Industrial Electronics, vol. 58, no. 6, June 2011.
Index Terms

Computer Science
Information Sciences

Keywords

Adaptive algorithms LMS RLS EMD Sifting process Monotonic property merit measures