Title :
An output-whitening approach to adaptive active noise cancellation
Author :
Graupe, Daniel ; Efron, Adam J.
Author_Institution :
Dept. of Electr. & Comput. Sci., Illinois Univ., Chicago, IL, USA
fDate :
11/1/1991 12:00:00 AM
Abstract :
An approach to adaptive active noise cancellation that is based on adaptive control principles is described. The approach aims at creating a physical noise-reduced environment in the vicinity of noisy machinery, for stochastic machine noise. The system described uses a single microphone, in contrast to previously described two-microphone systems. Computed results on two types of recorded industrial noise are presented to support the theoretical design. In one case, a reduction of the sample variance of noise by a factor of 500, i.e. about 54 dB, occurred; in the second case, a reduction factor of 17, i.e. about 25 dB, was achieved
Keywords :
acoustic noise; acoustic signal processing; adaptive systems; noise abatement; signal processing equipment; adaptive active noise cancellation; industrial noise; noise-reduced environment; noisy machinery; output-whitening; single microphone; stochastic machine noise; Adaptive control; Computer industry; Electrical equipment industry; Machinery; Microphones; Noise cancellation; Noise reduction; Programmable control; Stochastic resonance; Working environment noise;
Journal_Title :
Circuits and Systems, IEEE Transactions on