title: Nonparametric algorithm for local frequency estimation of multidimensional signals.
abstract: Local frequency (LF) estimation of multidimensional (md) signals is considered. The md-Wigner distribution (WD) is used as the LF estimator. The LF is estimated based on the positions of the WD maxima. A nonparametric algorithm for the LF estimation is developed. It is based on the intersection of confidence intervals rule. This algorithm produces an adaptive window size in the WD which gives almost minimal mean squared error of the estimate. A simplified version of this algorithm is developed, with the starting estimate being produced with the WD of one-dimensional signals. Theory is illustrated in examples.
authors.affiliation: Elektrotehnicki Fakultet, University of Montenegro, 81000 Podgorica, Montenegro.
authors.forename: Igor
authors.initials: I
authors.lastname: Djurović
authors.forename: Ljubisa
authors.initials: L
authors.lastname: Stanković
mesh_terms: D000465:Algorithms; D001185:Artificial Intelligence; D005246:Feedback; D007089:Image Enhancement / Q000379:methods*; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D016247:Information Storage and Retrieval / Q000379:methods*; D010363:Pattern Recognition, Automated; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D012815:Signal Processing, Computer-Assisted