Estimation of correlated frequencies in noise cancelling using higher order moments

A method to identify a linear filter in the case of noise cancelling when two correlated frequencies are present both in signal and noise reference is proposed. This method uses the third-order moments of the observations. The statistical properties of the estimated filter (bias and variance computed near convergence) are studied, and it is proved that the variance is independent of the presence of a sinusoid in the signal.<>