Earticle

초록

영어

In this paper, we proposed an adaptive threshold de-noising method by combining wavelet entropy and inter-scale correlation. Different from the traditional wavelet threshold based de-noising methods, our method can be divided into three steps. First, we decompose the noisy signal by using discrete wavelet transform (DWT), calculate the value of inter-scale correlation of the decomposed wavelet coefficients, and delete the high frequency coefficients which are smaller than the value of inter-scale correlation. Secondly, we equally divide the processed high frequency coefficients into several subintervals, calculate the wavelet entropy of each subinterval, and decide the threshold of high frequency coefficients by combining wavelet entropy and adaptive threshold rules. Finally, we de-noise the high frequency coefficients by using logarithmic smoothing threshold function, and reconstruct the ultrasonic signal. Experiment results have shown that the proposed method is better than some other de-noising methods in terms of SNR (signal noise ratio) and SDR (signal distortion ration).

목차

Abstract
 1. Introduction
 2. Related Work
 3. The De-Noising Method Based on Wavelet Entropy and Inter-Scale
  3.1 Wavelet Entropy
  3.2 Inter-Scale Correlation
  3.3 Adaptive Threshold and Logarithmic Smoothing Threshold Function
  3.4 The Proposed Method
 4. Simulation and Analysis
 5. Experiment Results and Analysis
 6. Conclusion
 References

키워드

저자

• Zhi Cui [ School of Communication and Electronic Engineering, Hunan City University ]
• Xianpu Cui [ School of Communication and Electronic Engineering, Hunan City University ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Multimedia and Ubiquitous Engineering

• 간기

  월간

• pISSN

  1975-0080

• 수록기간

  2008~2016

• 등재여부

  SCOPUS

• 십진분류

  KDC 505 DDC 605