Earticle

초록

영어

The wave of voice signal is narrow and unstable. Besides, it has a non-continuity in time domain and an inconsistent decline of the radio channel, especially the short wave channel, which makes estimating the time delay of the radio’s voice signal very difficult. To solve such problems, the authors creatively combine the voice activity detection with the short-segment processing technology. Meanwhile, by using Weighted Least Squares Phase Fitting method to work out the time delay, we conduct a research in the time delay estimation of radio’s voice signal. The laboratory finding finally shows that this method is far better than the typical Generalized Correlation Method for estimation of time delay.

목차

Abstract
 1. Introduction
 2. The Signal Model and the General Correlation Method
  2.2. New Method for TDOA Estimation
  2.3. The Pre-Processing of the Voice Signal Activation Detection
  2.4. The Short-Segment Processing
  2.5. Weighted Least Squares Phase Fitting Method
 3. The Result
 4. Conclusion
 Acknowledgements
 References

키워드

저자

• Xinrui Liu [ Computer School, China West Normal University, Nanchong 637000 ,China ]
• Jinxiang Chen [ Computer School, China West Normal University, Nanchong 637000 ,China ]
• Xianbo He [ Computer School, China West Normal University, Nanchong 637000 ,China ]
• Wei Li [ Computer School, China West Normal University, Nanchong 637000 ,China ]
• Gangyuan Zhang [ Computer School, China West Normal University, Nanchong 637000 ,China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Hybrid Information Technology

• 간기

  격월간

• pISSN

  1738-9968

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605