  A problem of performance enhancement for multiple frequencies estimation is
studied. First, we consider a basic gradient-based estimation approach with
global exponential convergence. Next, we apply dynamic regressor extension and
mixing technique to improve transient performance of the basic approach and
ensure non-strict monotonicity of estimation errors. Simulation results
illustrate benefits of the proposed solution.
