Analytical development of the MMAXNLMS algorithm

M.I. Haddad; K.A. Mayyas; M.A. Khasawneh; IEEE

doi:10.1109/ICASSP.1999.758283

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Conference proceeding

Analytical development of the MMAXNLMS algorithm

M.I. Haddad, K.A. Mayyas, M.A. Khasawneh and IEEE

1999 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings. ICASSP99 (Cat. No.99CH36258), Vol.4, pp.1853-1856 vol.4

1999

DOI: https://doi.org/10.1109/ICASSP.1999.758283

Abstract

Adaptive algorithm

Adaptive filters

Algorithm design and analysis

Analytical models

Computational complexity

Computational modeling

Computer simulation

Density functional theory

Performance analysis

Random processes

In this paper an adaptive algorithm with reduced complexity is analysed for the white Gaussian input case. The new analysis is extended for the proposed case where updating includes more than one component of the weight vector. The new algorithm, which updates the weights corresponding to the element sizes of the data vector with the largest magnitude, is compared with the case where the updated weights are chosen randomly according to a uniform density function. Analysis is performed for both cases and the results are verified via computer simulations.

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Title: Analytical development of the MMAXNLMS algorithm
Creators - without role: M.I. Haddad - Jordan University of Science and Technology
K.A. Mayyas - Jordan University of Science and Technology
M.A. Khasawneh - Jordan University of Science and Technology
IEEE
Publication Details: 1999 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings. ICASSP99 (Cat. No.99CH36258), Vol.4, pp.1853-1856 vol.4
Publisher: IEEE
Identifiers: 9925174008331
Academic Unit: Prince Mohammad Bin Fahd University
Language: English
Resource Type: Conference proceeding