All of Nonparametric Statistics (Springer Texts in Statistics)
All of Nonparametric Statistics (Springer Texts in Statistics)
Second-order statistics of complex signals
IEEE Transactions on Signal Processing
Optimal kernels for nonstationary spectral estimation
IEEE Transactions on Signal Processing
Time-Frequency ARMA Models and Parameter Estimators for Underspread Nonstationary Random Processes
IEEE Transactions on Signal Processing
IEEE Transactions on Information Theory
IEEE Transactions on Image Processing
Hi-index | 35.68 |
In this correspondence, we propose a class of estimators of the ambiguity function of a discrete-time process using thresholding. To this purpose, the distributional and moment properties of the empirical ambiguity function for a realization of an analytic random process are derived, and the moments for the special cases of stationary, uniformly modulated, and deterministic signals immersed in noise processes are determined. Suitable thresholds are chosen based on the distributional properties of the empirical ambiguity function, and the procedure is tested on simulated data.