Estimation of frequencies of sinusoids in ARMA colored noise via singular value decomposition

The problem of estimating frequencies of sinusoids from the data disturbed by colored noise is addressed. Unlike in previous studies, the noise here is assumed to be an ARMA process. An approach, implemented by SVD (singular value decomposition), is presented to achieve high-resolution frequency estimates. The potential of the approach is shown by some numerical examples.<>