A non-negative approximate Wigner distribution with accurate low-order moments

Author

Georgopoulos, Voula C. ; Preis, Douglas

Author_Institution

Sch. of Electr. Eng. & Comput. Sci., Ohio Univ., Athens, OH, USA

Volume

2

fYear

1997

fDate

2-4 Jul 1997

Firstpage

769

Abstract

In this paper a procedure to compute a non-negative time-frequency distribution that yields the total energy of the analytic signal and satisfies the zero- and first-order moments of its Wigner distribution is developed. These moments are the instantaneous power (or envelope squared), the energy spectrum, the instantaneous frequency moment, and the group delay moment. The distribution is computed by using a neural network form, iterative algorithm and does not have interference terms

Keywords

Wigner distribution; iterative methods; neural nets; signal processing; time-frequency analysis; accurate low-order moments; analytic signal; energy spectrum; envelope squared; first-order moments; group delay moment; instantaneous frequency moment; instantaneous power; iterative algorithm; lowpass filter; neural network form; nonnegative approximate Wigner distribution; time-frequency distribution; total energy; zero-order moments; Computer science; Delay estimation; Distributed computing; Frequency estimation; Iterative algorithms; Least squares approximation; Power engineering and energy; Power engineering computing; Signal analysis; Time frequency analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Digital Signal Processing Proceedings, 1997. DSP 97., 1997 13th International Conference on

Conference_Location

Santorini

Print_ISBN

0-7803-4137-6

Type

conf

DOI

10.1109/ICDSP.1997.628465

Filename

628465