Abstract: Analysis of the algorithm for the mean square error minimization, through the bias-to-variance ratio optimization, is performed. This algorithm is based on the confidence intervals intersection. It does not require explicit knowledge of the estimation bias. The algorithm performance and reliability for various kinds of noise in the estimation are studied.
Keywords: Signal processing, adaptive algorithm, time-frequency distribution, reliability, noise analysis.