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Title: A novel approach to introducing adaptive filters based on the LMS algorithm and its variants
Authors: Soria, Emilio
Calpe, Javier
Chambers, Jonathon
Martinez, Marcelino
Camps, Gustavo
Guerrero, José David Martin
Keywords: Adaptive filters
Digital signal processing (DSP)
Issue Date: 2004
Publisher: © IEEE
Citation: SORIA, E. ... et al, 2004. A novel approach to introducing adaptive filters based on the LMS algorithm and its variants. IEEE Transactions on Education, 47 (1), pp. 127-133
Abstract: This paper presents a new approach to introducing adaptive filters based on the least-mean-square (LMS) algorithm and its variants in an undergraduate course on digital signal processing. Unlike other filters currently taught to undergraduate students, these filters are nonlinear and time variant. This proposal introduces adaptive filtering in the context of a linear time-invariant system using a real problem. In this way, introducing adaptive filters using concepts already familiar to the students motivates their interest through practical application. The key point for this simplification is that the input to the filter is constant so that the adaptive filter becomes linear. Therefore, a complete arsenal of mathematical tools, already known by the students, is available to analyze the performance of the filters and obtain the key parameters to adaptive filters, e.g., speed of convergence and stability. Several variants of the basic LMS algorithm are described the same way.
Description: This is an article from the journal, IEEE Transactions on Education [© IEEE]. It is also available at: http://ieeexplore.ieee.org/ Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Version: Published
DOI: 10.1109/TE.2003.822632
URI: https://dspace.lboro.ac.uk/2134/5789
ISSN: 0018-9359
Appears in Collections:Published Articles (Mechanical, Electrical and Manufacturing Engineering)

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