Performance analysis of transform domain normalized LMS algorithm
- 1 January 1991
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- No. 15206149,p. 2133-2136 vol.3
- https://doi.org/10.1109/icassp.1991.150834
Abstract
The performance of the transform domain normalized least mean square (LMS) algorithm is studied. The discussion is limited to the systems that employ an orthogonal transform to convert the incoming samples to a set of partially uncorrelated components, to be used as input to an adaptive linear combiner. To obtain an effective mathematical tool for analysis of the LMS-type algorithms a new performance index is proposed. The proposed index is used to derive many useful results. It is shown that a thorough understanding of the filtering concept results in many rules of thumb that can be readily used for choosing near-optimum transformations in the cases when partial information of input statistics is available. It is shown that the KLT (Karhunen-Loeve transform) implements a set of parallel filters which is optimal in the sense that it fulfils the conditions imposed by the filtering concept.Keywords
This publication has 3 references indexed in Scilit:
- Performance analysis of transform domain normalized LMS algorithmPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1991
- The use of orthogonal transforms for improving performance of adaptive filtersIEEE Transactions on Circuits and Systems, 1989
- Performance of transform-domain LMS adaptive digital filtersIEEE Transactions on Acoustics, Speech, and Signal Processing, 1986