DocumentCode
1307747
Title
Adaptive digital techniques for audio noise cancellation
Author
Paul, James E.
Author_Institution
Div. of Engng., California State Univ., Fullerton, CA, USA
Volume
1
Issue
4
fYear
1979
Firstpage
2
Lastpage
7
Abstract
Discusses two adaptive digital techniques for audio noise cancellation. The first technique, adaptive predictive deconvolution, uses an adaptive linear predictor to estimate and cancel (time) correlated noise components on an audio signal. The second technique, adaptive filtering, employs two audio signal inputs, the first having the desired audio signal along with noise and the second sensing principally the noise. The second, noise signal is adaptively filtered and subtracted from the first signal cancelling noise components common to the two inputs. A stand-alone digital signal processor has been developed to carry out these two noise cancellation techniques. This automatic digital audio processor, ADAP, carries out these processes in real time with up to a 256th order digital filter.
Keywords
adaptive systems; audio systems; digital filters; filtering and prediction theory; signal processing; 256th order digital filter; adaptive digital techniques; adaptive filtering; adaptive linear predictor; adaptive predictive deconvolution; audio noise cancellation; automatic digital audio processor; time correlated noise components; Adaptive filters; Convergence; Deconvolution; Equations; Least squares approximation; Noise cancellation;
fLanguage
English
Journal_Title
Circuits & Systems Magazine
Publisher
ieee
ISSN
0163-6812
Type
jour
DOI
10.1109/MCAS.1979.6323383
Filename
6323383
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