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|Type:||Artigo de periódico|
|Title:||A fast least-squares algorithm for linearly constrained adaptive filtering|
|Abstract:||An extension of the field of fast least-squares techniques is presented. It is shown that the adaptation gain, which is updated with a number of operations proportional to the number of transversal filter coefficients, can be used to update the coefficients of a linearly constrained adaptive filter. An algorithm that is robust to round-off errors is derived. It is general and flexible. It can handle multiple constraints and multichannel signals. Its performance is illustrated by simulations and compared with the classical LMS-based Frost algorithm.|
|Editor:||Ieee-inst Electrical Electronics Engineers Inc|
|Appears in Collections:||Artigos e Materiais de Revistas Científicas - Unicamp|
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