 In this method, only a single eigenvector is used and taken to be a set of autoregressive coefficients, whose zeros can be found analytically or with polynomial root finding algorithms.In contrast, MUSIC assumes that several such functions have been added together, so zeros may not be present.Instead there are local minima, which can be located by computationally searching the estimation function for peaks.