Orthonormal Bases for System Identiication
نویسنده
چکیده
In this paper we present a general and very simple construction for generating complete orthonormal bases for system identiication. This construction provides a unifying formulation of orthonormal bases since the common FIR and recently popular Laguerre and Kautz model structures are restrictive special cases of our construction. A distinguishing feature of our construction is that it can generate basis vectors having nearly arbitrary magnitude frequency responses. These responses can be selected according to the prior information the user wishes to inject into the estimation problem.
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