Title :
Digital whitening of band-limited white noise in the presense of colored noise
Author :
Gupta, Ashok K. ; Penafiel, Miguel
Author_Institution :
University of Alabama, Huntsville, AL
fDate :
6/1/1986 12:00:00 AM
Abstract :
Four all zero whitening filters, one-sided and two-sided Wiener and linear prediction filters, are compared on the basis of reduction of input noise power, when the sum of a band-limited white noise and the colored noise is the input to a unity gain whitening filter. The colored noise is assumed to be one of the three types: equally spaced, equal power multiple tones, a periodic pulsetrain of random strength, and a random process having a first-order Butterworth spectrum. Based upon this comparison, the two-sided Wiener filter is shown to reduce the greatest noise power, independent of the type of the colored noise.
Keywords :
Adaptive filters; Colored noise; Digital filters; Frequency; Nonlinear filters; Signal processing; Signal to noise ratio; Transversal filters; White noise; Wiener filter;
Journal_Title :
Acoustics, Speech and Signal Processing, IEEE Transactions on
DOI :
10.1109/TASSP.1986.1164839