A Method of Spectral Analysis Based on the Multistage Wiener Filter

Three different spectral patterns, including the MUSIC (Multiple Signal Classification), the LP (Linear Prediction) and the S-LP (Smooth Linear Prediction) methods using the unique recursion process of the multistage nested Wiener filter (MSNWF) for spectral analysis are described. These different spectral patterns can be provided simultaneously. Taking into account the computational advantages and different characteristics of the methods, a new scheme for spectral analysis is proposed, which is able to be adapted to either the continuous or the discrete spectrum cases.