A fast block-type adaptive filter algorithm with short processing delay

Hector Perez-Meana, Mariko Nakano-Miyatake, Laura Ortiz-Balbuena, Alejandro Martinez-Gonzalez, Juan Carlos Sanchez-Garcia

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

This letter proposes a fast frequency domain adaptive filter algorithm (FADF) for applications in which large order adaptive filters are required. Proposed FADF algorithm reduces the block delay of conventional FADF algorithms allowing a more efficient selection of the fast Fourier Transform (FFT) size. Proposed FADF algorithm also provides faster convergence rates than conventional FBAF algorithms by using a near-optimum convergence factor derived by using the FFT. Computer simulations using white and colored signals are given to show the desirable features of proposed scheme.

Original languageEnglish
Pages (from-to)721-726
Number of pages6
JournalIEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
VolumeE79-A
Issue number5
StatePublished - 1996
Externally publishedYes

Keywords

  • Frequency domain LMS
  • Near-optimum convergence factor
  • Short delax FLMS

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