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New block gradient-based algorithm for adaptive IIR filtering

Conference Paper


Abstract


  • The steady state performance of gradient-based algorithms for adaptive IIR filtering is largely dependent on the gradient estimates. Due to the recursive nature of the IIR filtering, such gradient estimates are difficult to determine. In an attempt to remedy this problem, this paper presents a new adaptive procedure which provides more accurate estimates of the gradients. The result is a new block gradient-based adaptive algorithm. The input signals are divided into data blocks and the coefficients are kept constant within every block. For each block of data the gradients are evaluated and subsequently used to update the coefficients for the next block. In other words, the proposed algorithm updates the coefficients on block by block basis. In contrast with the conventional Recursive Prediction Error (RPE) algorithm, the proposed approach is characterized by improved the steady state error and less computational complexity.

Publication Date


  • 1994

Citation


  • Xi, J., & Chicharo, J. F. (1994). New block gradient-based algorithm for adaptive IIR filtering. In National Conference Publication - Institution of Engineers, Australia Vol. 2 (pp. 1357-1361).

Scopus Eid


  • 2-s2.0-0028746220

Web Of Science Accession Number


Start Page


  • 1357

End Page


  • 1361

Volume


  • 2

Issue


  • 94 /9

Abstract


  • The steady state performance of gradient-based algorithms for adaptive IIR filtering is largely dependent on the gradient estimates. Due to the recursive nature of the IIR filtering, such gradient estimates are difficult to determine. In an attempt to remedy this problem, this paper presents a new adaptive procedure which provides more accurate estimates of the gradients. The result is a new block gradient-based adaptive algorithm. The input signals are divided into data blocks and the coefficients are kept constant within every block. For each block of data the gradients are evaluated and subsequently used to update the coefficients for the next block. In other words, the proposed algorithm updates the coefficients on block by block basis. In contrast with the conventional Recursive Prediction Error (RPE) algorithm, the proposed approach is characterized by improved the steady state error and less computational complexity.

Publication Date


  • 1994

Citation


  • Xi, J., & Chicharo, J. F. (1994). New block gradient-based algorithm for adaptive IIR filtering. In National Conference Publication - Institution of Engineers, Australia Vol. 2 (pp. 1357-1361).

Scopus Eid


  • 2-s2.0-0028746220

Web Of Science Accession Number


Start Page


  • 1357

End Page


  • 1361

Volume


  • 2

Issue


  • 94 /9