Title :
Signal processing with higher-order spectra
Author :
Nikias, Chrysostomos L. ; Mendel, Jerry M.
Author_Institution :
Dept. of Electr. Eng.-Syst., Univ. of Southern California, Los Angeles, CA, USA
fDate :
7/1/1993 12:00:00 AM
Abstract :
The strengths and limitations of correlation-based signal processing methods are discussed. The definitions, properties, and computation of higher-order statistics and spectra, with emphasis on the bispectrum and trispectrum are presented. Parametric and nonparametric expressions for polyspectra of linear and nonlinear processes are described. The applications of higher-order spectra in signal processing are discussed.<>
Keywords :
correlation methods; parameter estimation; reviews; signal processing; spectral analysis; statistical analysis; bispectrum; correlation methods; higher-order spectra; higher-order statistics; linear processes; nonlinear processes; nonparametric expressions; parametric expressions; polyspectra; signal processing; trispectrum; Additive noise; Autocorrelation; Fourier transforms; Gaussian noise; Higher order statistics; Parameter estimation; Signal analysis; Signal processing; Signal reconstruction; Signal to noise ratio;
Journal_Title :
Signal Processing Magazine, IEEE
