Modified adaptive line enhancer in variable noise environments using set-membership adaptive algorithm

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

Research output: Contribution to journalArticle

4 Citations (Scopus)

Abstract

In most speech processing systems, speech signals degrade significantly in noisy environments. Therefore, noise cancellation methods are necessary to eliminate noise from signals. This paper presents a development technique to improve the performance of a noise cancellation system called Adaptive Line Enhancer (ALE) in variable noise environments. The method is based on using a modified and simplified version of the set-membership Affine Projection algorithm (AP) adaptive filter. The modification introduced here is to make the adaptive algorithm, work with a dynamically variable step-size, as a substitute for the commonly used Least Mean Square (LMS) algorithm in ALE system. The performance of the developed ALE in variable noise is illustrated here, and the results are compared to similar ALE systems based on the classical adaptive algorithms, such as the Least-Mean-Square (LMS), the Normalized LMS (NLMS) and the Affine Projection (AP) algorithms. The developed adaptive line enhancer using the simplified affine projection algorithm showed a better performance than those based on conventional algorithms.

Original languageEnglish
Pages (from-to)1468-1475
Number of pages8
JournalInternational Review on Computers and Software
Volume9
Issue number8
Publication statusPublished - 2014

Fingerprint

Adaptive algorithms
Speech processing
Adaptive systems
Adaptive filters

Keywords

  • Adaptive algorithm
  • Adaptive line enhancer
  • Affine projection
  • Noise environment
  • Set-Membership

ASJC Scopus subject areas

  • Computer Science(all)

Cite this

Modified adaptive line enhancer in variable noise environments using set-membership adaptive algorithm. / Ramli, Roshahliza M.; Noor, Ali O Abid; Abdul Samad, Salina.

In: International Review on Computers and Software, Vol. 9, No. 8, 2014, p. 1468-1475.

Research output: Contribution to journalArticle

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