Earticle

초록

영어

Wavelet threshold filter is widely used because it is simple to implement and small computation. Traditional hard and soft threshold functions have their limitations. At the same time, design method of the threshold function is used only for a particular problem and general construction method of threshold function is rarely involved. In this paper, we study the basic requirements of the threshold function and the threshold objective function, and propose a general method for constructing the threshold function. The y=x method applies rotation, shift and other operation on the basic function, and takes as the objective function, constructs threshold function families with different thresholds and approximation rate. Then, choose different threshold functions according to the characteristics of the signal. According to this approach, we take y(x)=a/x as basic function and construct a new threshold function family. The new threshold function is continuous and differentiable at high order, which overcomes the shortcomings of hard threshold function and soft threshold function. Simulation results show that in different noise levels and different wavelet decomposition layers, it has different noise characteristics; signal-to-noise ratio (SNR) gain and minimum squared error (MSE) of this method is better than that of the traditional soft and hard threshold function and improved threshold function and made a better balance between the sensitive degree and smoothness.

목차

Abstract
 1. Introduction
 2. Wavelet Threshold Denoising
  2.1. Principle and Basic Method of Wavelet Threshold Denoising
  2.2. Improvement of Threshold Function
 3. General Construction Method of Threshold Function
  3.1. A General Design Method for Threshold Function
  3.2. Example of Threshold Function Construction
 4. Performance Comparisons
  4.1. Noise Reduction Effect Comparison among Different Noise Types and Different Signal to Noise Ratios
  4.2. Comparison of Noise Reduction Effect
  4.3. Effect Comparison of 2-D signal Noise Reduction
 5. Conclusion
 References

키워드

저자

• Yao Huilin [ Department of Electrical Engineering and Automation, Luoyang Institute of Science and Technology, Luoyang, Henan, China ]
• Song Lijun [ Department of Electrical Engineering and Automation, Luoyang Institute of Science and Technology, Luoyang, Henan, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Control and Automation

• 간기

  월간

• pISSN

  2005-4297

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605