Earticle

초록

영어

The adaptive decision feedback equalizer (ADFE), which makes use of the regenerative effect of the non-linear decision device is an effective means for equalizing the channels that exhibit spectral nulls. A common problem faced by the ADFE is that with increasing data transmission rate, the channel IR length increases and thus the orders of both the FFF and the FBF increase. The resulting increase in complexity makes the real time operation of the ADFE difficult, especially in view of simultaneous shortening of the symbol period, which means that lesser and lesser time will be available to carry out the computations while the volume of computation goes on increasing. Since it has been reported that substantial echo cancellation leads to increased system quality and capacity, this paper proposes different sign LMS based ADFEs to cancel the echo signal. The Signed-Regressor LMS gives better performance in terms of their figure of merits compared to the normal LMS and other signed based ADFEs.

목차

Abstract
 1. Introduction
 2. Computationally Efficient Adaptive Filter for Acoustic Echo Cancellation
  2.1. The Least Mean Square (LMS) Algorithm
  2.2. The Signed-Regressor LMS (SRLMS) Algorithm:
  2.3. The Signed LMS (SLMS) Algorithm
  2.4. The Sign-Sign LMS (SSLMS) Algorithm
  2.5. Figure of Merits
 3. Matlab Simulations
 4. Computational Complexity Issues
 5. Conclusions
 References

키워드

저자

• Sk. Mastan Sharif [ Dept of Electronics and Instrumentation, LBRCE, Andhra Pradesh, India ]
• K. Satya Prasad [ Dept of Electronics and Communication, JNTUK, Andhra Pradesh, India ]
• D. Venkata Rao [ Dept of Electronics and Communication, Narasaraopet Institute of Technology, India ]

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