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