Title :
Ambient noise statistics
Author :
Webster, Roger J.
Author_Institution :
Comput. Devices Canada, Ottawa, Ont., Canada
fDate :
6/1/1993 12:00:00 AM
Abstract :
Signal processing algorithms optimized for Gaussian noise may degrade significantly in a non-Gaussian noise environment. Therefore it is important to characterize the noise accurately before including its structure in the formulation of algorithms. A generic distribution suitable for modeling non-Gaussian ambient noise in the kurtosis range 1.8⩽β2⩽4.2 is derived
Keywords :
noise; signal processing; statistical analysis; generic distribution; kurtosis range; noise statistics; nonGaussian ambient noise; signal processing algorithms; Background noise; Chromium; Constraint theory; Covariance matrix; Gaussian noise; Lagrangian functions; Maximum likelihood estimation; Signal processing algorithms; Statistics; Working environment noise;
Journal_Title :
Signal Processing, IEEE Transactions on
