A Frequency-Weighted Block LMS Algorithm and its Application to Speech Processing
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | LEE, I. C. | - |
| dc.contributor.author | UN, C. K. | - |
| dc.contributor.author | CHO, D. H. | - |
| dc.date.accessioned | 2007-05-17T02:09:13Z | - |
| dc.date.available | 2007-05-17T02:09:13Z | - |
| dc.date.issued | 1985-06 | - |
| dc.identifier.citation | IEEE Proceedings vol.73 no.6, pp.1137-1138 | en |
| dc.identifier.issn | 0018-9219 | - |
| dc.identifier.uri | http://hdl.handle.net/10203/130 | - |
| dc.description.abstract | 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. | en |
| dc.language.iso | en_US | en |
| dc.publisher | IEEE | en |
| dc.subject | LMS | en |
| dc.subject | speech | en |
| dc.title | A Frequency-Weighted Block LMS Algorithm and its Application to Speech Processing | en |
| dc.type | Article | en |
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