A method for realizing noise-control by a technique of adaptive signal processing is suggested on the basis of a physical model of progressive wave in a duct. A mathematical model is constructed and a transfer function of the adaptive system for noise-control is also worked out. Adaptive filtering is realized with ADSP2101. We also analyzed and compared the effects of the algorithms such as RLS, LMS and LSL on noise-control. It was shown, without the feedback of sound, that a 27.5 dB mean-noise-reduce-volume (MNRV) for broad-band noise from 0 to 500Hz in frequency could be achieved with the method. However, when an acoustic feedback taken place and; an air-stream loudspeaker was used, the MNRV was only 4.86dB. But if the loudspeaker had a plain frequency feature, MNRV would have been improved by 10.2dB. The technique is applied to reduce the noise from engines and their exhausted gas pipes. It is, in principle, used for noise-canceling in a closed three dimensional space.