Title :
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
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;
Conference_Titel :
Digital Signal Processing Proceedings, 1997. DSP 97., 1997 13th International Conference on
Conference_Location :
Santorini
Print_ISBN :
0-7803-4137-6
DOI :
10.1109/ICDSP.1997.628465
