Time-frequency distribution series

Author

Qian, Shie ; Chen, Dapang

Author_Institution

DSP Group, Nat. Instrum., Austin, TX, USA

Volume

iii

fYear

1994

fDate

19-22 Apr 1994

Abstract

Using the orthogonal-like Gabor (1946) expansion, we decompose the Wigner-Ville (1932, 1948) distribution as a linear combination of localized and oscillated 2D Gaussian functions. Based on the degree of oscillation, we further group those 2D Gaussian functions into time-frequency functions P_d(t,ω) and thereby obtain the so-called time-frequency distribution series (TFDS). The TFDS_D consists of up to Dth order P_d(t,ω). Since the influence of P_d(t,ω) on those useful properties is inversely proportional to d, by adjusting the order D of the TFDS one could easily balance the cross-term interference and the useful properties

Keywords

Gaussian processes; Wigner distribution; spectral analysis; time-frequency analysis; Wigner-Ville distribution; cross-term interference; localized 2D Gaussian functions; orthogonal-like Gabor expansion; oscillated 2D Gaussian functions; power spectrum; signal analysis; time-frequency distribution series; time-frequency functions; Autocorrelation; Bridges; Digital signal processing; Fourier transforms; Frequency shift keying; Instruments; Interference; Phase shift keying; Signal analysis; Time frequency analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 1994. ICASSP-94., 1994 IEEE International Conference on

Conference_Location

Adelaide, SA

ISSN

1520-6149

Print_ISBN

0-7803-1775-0

Type

conf

DOI

10.1109/ICASSP.1994.390098

Filename

390098