Earticle

초록

영어

A new approach to modified S-transform based non-stationary power signal de-noising is presented in this paper. Modified S-transform is employed in de-noising techniques to separate high frequency noise which is prevalent in practical signals like power disturbance signals from the low frequency undistorted signals. In this we have tried to bring out the advantage of the modified S-transform and its application in power signal analysis through various examples. S-transform with modified Gaussian window is found to provide excellent normalized frequency contours of the power signal disturbances suitable for accurate detection, localization and classification. The implementation of the de-noising scheme has been carried out in FPGA using non-stationary power signals.

목차

Abstract
 1. Introduction
 2. The S –transform
  2.1 The Inverse S-Transform
  2.2 The S-Transform and It’s Inverse in the Discrete Case
 3. The Modified S-Transform
  3.1 Discrete Form of the Modified S-Transform (DMST)
  3.2 The Inverse MST
 4. MST in De-noising
  4.1 De-noised Algorithm
  4.2 Filtering Approach for De-noising Power Signal
  4.3 Simulation Results
 5. FPGA Implementation of Modified S-transform
  5.1 Design of S-Filter
  5.2 Data Flow Diagram
  5.3 Buffer Description and Realization
  5.4 FPGA Implementation results
 6. Conclusion
 References

키워드

저자

• Birendra Biswal [ GMR Institute of Technology ]
• Pradipta Kishore Dash [ S’O’A University, MDRC ]
• Milan Biswal [ Silicon Institute of Technology ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Signal Processing, Image Processing and Pattern Recognition

• 간기

  격월간

• pISSN

  2005-4254

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605