This paper addresses asymptotically minimum variance (AMV) algorithms in the class of algorithms based on second-order statistics for estimating frequencies of mixed complex circular processes. To reduce the computational complexity due to the nonlinear minimization required by the matching approach, the covariance matching estimation techniques (COMET) is included in the algorithm. Numerical examples illustrate the performance of the AMV algorithm.