A review of adaptive line enhancers for noise cancellation

Roshahliza M. Ramli, Ali O. Noor, Salina Abdul Samad

Research output: Contribution to journalArticle

21 Citations (Scopus)

Abstract

This paper provides a literature review on Adaptive Line Enhancer (ALE) methods based on adaptive noise cancellation systems. Such methods have been used in various applications, including communication systems, biomedical engineering, and industrial applications. Developments in ALE in noise cancellation are reviewed, including the principles, adaptive algorithms, and recent modifications on the filter design proposed to increase the convergence rate and reduce the computational complexity for future implementation. The advantages and drawbacks of various adaptive algorithms, such as the Least Mean Square, Recursive Least Square, Affine Projection Algorithm, and their variants, are discussed in this review. Design modifications of filter structures used in ALE are also evaluated. Such filters include Finite Impulse Response, Infinite Impulse Response, lattice, and nonlinear adaptive filters. These structural modifications aim to achieve better adaptive filter performance in ALE systems. Finally, a perspective of future research on ALE systems is presented for further consideration.

Original languageEnglish
Pages (from-to)337-352
Number of pages16
JournalAustralian Journal of Basic and Applied Sciences
Volume6
Issue number6
Publication statusPublished - Jun 2012

Fingerprint

Adaptive filters
Adaptive algorithms
Biomedical engineering
FIR filters
Impulse response
Industrial applications
Computational complexity
Communication systems

Keywords

  • Adaptive algorithms
  • Adaptive filters
  • Adaptive line enhancer
  • Noise cancellation
  • Non-stationary noise

ASJC Scopus subject areas

  • General

Cite this

A review of adaptive line enhancers for noise cancellation. / Ramli, Roshahliza M.; Noor, Ali O.; Abdul Samad, Salina.

In: Australian Journal of Basic and Applied Sciences, Vol. 6, No. 6, 06.2012, p. 337-352.

Research output: Contribution to journalArticle

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