On spectrum estimation using state space recursive least squares (SSRLS)

Filter bank structures have traditionally been used for several applications that require the decomposition of a signal into its main spectral components. This paper presents a new spectral estimation method which employs a bank of adaptive resonator filters based on state space recursive least squares algorithm. This approach is expected to find its application in areas like communication systems, besides being an important theoretical contribution.