Title :
Multitaper reduced interference distribution
Author :
Aviyente, Selin ; Williams, William J.
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., Michigan Univ., Ann Arbor, MI, USA
Abstract :
Time-frequency distributions (TFDs) belonging to Cohen´s class are usually designed to satisfy the frequency marginal. The conventional frequency marginal is equivalent to the classical periodogram. It is known that the periodogram is not a good spectral estimator. For this reason, Thomson (Proc. IEEE, vol.70, no.9, pp.1055-96, Sept. 1982) introduced a multitaper spectral estimator which treats both the bias and the variance problems inherent to nonparametric spectral estimators. In this paper, we are introducing a new kernel design method which achieves Thomson´s spectral estimate as the frequency marginal. This new method results in a signal-dependent kernel design. The resulting kernel belongs to the class of reduced interference distribution (RID) kernels and therefore this new time-frequency distribution will be called multitaper reduced interference distribution (MT-RID). The performance of this method is compared to the previously introduced multiwindow time-frequency distribution (MW-TFD) (Frazer and Boashash, 1994) through simulations
Keywords :
nonparametric statistics; signal processing; spectral analysis; time-frequency analysis; Cohen class distribution; bias problems; classical periodogram; frequency marginal; multitaper reduced interference distribution; multitaper spectral estimator; multiwindow time-frequency distribution; nonparametric spectral estimators; reduced interference distribution; signal-dependent kernel design; time-frequency distributions; variance problems; Design methodology; Eigenvalues and eigenfunctions; Frequency estimation; H infinity control; Interference; Kernel; Signal design; Spectrogram; Time frequency analysis; Wave functions;
Conference_Titel :
Statistical Signal and Array Processing, 2000. Proceedings of the Tenth IEEE Workshop on
Conference_Location :
Pocono Manor, PA
Print_ISBN :
0-7803-5988-7
DOI :
10.1109/SSAP.2000.870189