Circularly complex Gaussian noise--A price theorem and a Mehler expansion (Corresp.)

Authors:
W. McGee
Affiliations:
-
Venue:
IEEE Transactions on Information Theory
Year:
2006

Citing 0
Cited 1

Two variable step-size adaptive algorithms for non-Gaussian interference environment using fractionally lower-order moment minimization

Digital Signal Processing

Quantified Score

Hi-index	754.84

Visualization

Abstract

In this correspondence, the Price theorem forn-dimensional circularly complex Gaussian noise is given and examples of its use are presented. The Mehler expansion for two-dimensional circularly complex Gaussian noise is derived. Some properties of the complex Hermite polynomials required in this expansion are presented. The use of the complex Hermite polynomials is illustrated. These results ease some of the calculations involved with bandpass signals and noise.