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A problem of performance enhancement for multiple frequencies estimation isstudied. First, we consider a basic gradient-based estimation approach withglobal exponential convergence. Next, we apply dynamic regressor extension andmixing technique to improve transient performance of the basic approach andensure non-strict monotonicity of estimation errors. Simulation resultsillustrate benefits of the proposed solution.

Improved Transients in Multiple Frequencies Estimation via Dynamic Regressor Extension and Mixing