A Frequency-Weighted Block LMS Algorithm and its Application to Speech Processing

In this letter, we propose a frequency-weighted block LMS (FWBLMS) algorithm that is based on minimization of the frequency-weighted block mean-squared error. The FWBLMS algorithm has an important advantage over the rime-domain LMS algorithm in that it can be designed with different frequency-weighting on error signal depending on the relative significance of various frequency bands. Application of the FWBLMS algorithm in adaptive near prediction of speech is discussed.
Publisher
IEEE
Issue Date
1985-06
Keywords

LMS; speech

Citation

IEEE Proceedings vol.73 no.6, pp.1137-1138

ISSN
0018-9219
URI
http://hdl.handle.net/10203/130
Appears in Collection
EE-Journal Papers(저널논문)
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