Title :
Phase reconstruction from bispectrum slices
Author :
Petropulu, Athina P. ; Pozidis, Haralambos
Author_Institution :
Dept. of Electr. & Comput. Eng., Drexel Univ., Philadelphia, PA, USA
fDate :
2/1/1998 12:00:00 AM
Abstract :
We propose a new method for the reconstruction of the Fourier phase of a complex LTI system based on the principal arguments of any pair of horizontal consecutive bispectrum slices of the system output. Since principal bispectrum arguments only are required, there is no need for two-dimensional (2-D) phase unwrapping. The reconstructed phase differs from the true one by a constant, integer multiples of 2π, and a linear-phase component corresponding to an integer time delay. The ability to choose the location of the two slices enables us to avoid low signal-to-noise ratio (SNR) bispectral regions, which usually occur in the case of bandlimited systems
Keywords :
fast Fourier transforms; higher order statistics; phase estimation; signal reconstruction; spectral analysis; Fourier phase; bandlimited systems; bispectrum slices; complex LTI system; higher order spectra; horizontal consecutive bispectrum slices; integer time delay; phase reconstruction; principal bispectrum arguments; Convergence; Equations; Frequency estimation; Gaussian distribution; Limiting; Parameter estimation; Phase estimation; Random variables; Signal processing; Taylor series;
Journal_Title :
Signal Processing, IEEE Transactions on