Abstract
A parallel-type adaptive algorithm is proposed which utilizes the fast least-squares method. Its computational complexity is much less than that of L. Landau's (1978) method, which is based on hyperstability theory Hyperstability requires much computation because it involves matrix operations. The proposed method has nothing to do with hyperstability. It is also shown theoretically and using computer simulation, that the convergence performance of the proposed method is better than that of the series-parallel-type fast least-squares method. >
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