Signal Adapted Filter Bank Design Using Markov Parameters

In this paper a method for designing principal component filter banks (PCFBs) based on a truncated sequence of estimated Markov parameters is described. This technique yields filters that are an excellent approximation to the ideal PCFB channel filters without nearly the computational complexity of traditional numerical optimization methods.