Gaguk Zakaria

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We propose the adaptive cascade recursive least squares (CRLS-SA) algorithm for the estimation of linear prediction, or AR model, coefficients. The CRLS-SA algorithm features low computational complexity since each section is adapted independently from the other sections. It is shown here that the CRLS-SA algorithm can yield AR coefficient estimates closer(More)
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