A novel approach for stabilizing recursive least squares filters

Abstract

One reason recursive least squares (RLS) filters are not widely used in adaptive signal processing applications is because of instability problems resulting from finite precision implementation. This paper presents a novel approach for stabilizing RLS filters, a plying the approach to the conventional RLS filter (order N operations per iteration). The… (More)
DOI: 10.1109/78.91147

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