scholarly journals Active control of broadband random noise using energy density control

1995 ◽  
Vol 97 (5) ◽  
pp. 3254-3254
Author(s):  
Young C. Park ◽  
Scott D. Sommerfeldt
Keyword(s):  
Energy Density ◽  
Active Control ◽  
Random Noise ◽  
Density Control

Glogal active control of energy density in a mock tractor cabin

2006 ◽  
Vol 54 (3) ◽  
pp. 187 ◽  
Author(s):  
Benjamin M. Faber ◽  
Scott D. Sommerfeldt
Keyword(s):  
Energy Density ◽  
Active Control

Modal decomposition results for active control of energy density

1996 ◽  
Vol 100 (4) ◽  
pp. 2780-2780
Author(s):  
Scott D. Sommerfeldt ◽  
John W. Parkins ◽  
Jiri Tichy
Keyword(s):  
Energy Density ◽  
Active Control ◽  
Modal Decomposition

Active control of energy density in a one-dimensional waveguide: A cautionary note (L)

2005 ◽  
Vol 117 (6) ◽  
pp. 3377-3380 ◽  
Author(s):  
Ben S. Cazzolato ◽  
Dick Petersen ◽  
Carl Q. Howard ◽  
Anthony C. Zander
Keyword(s):  
Energy Density ◽  
Active Control ◽  
Cautionary Note ◽  
One Dimensional

Experimental results using active control of energy density

1995 ◽  
Vol 98 (5) ◽  
pp. 2959-2959 ◽  
Author(s):  
Scott D. Sommerfeldt ◽  
John W. Parkins ◽  
Young C. Park ◽  
Zane M. Rhea
Keyword(s):  
Energy Density ◽  
Active Control ◽  
Experimental Results

Narrow‐band and broadband active control in an enclosure using energy density sensors

1998 ◽  
Vol 104 (3) ◽  
pp. 1756-1756
Author(s):  
John W. Parkins ◽  
Jiri Tichy ◽  
Scott D. Sommerfeldt
Keyword(s):  
Energy Density ◽  
Active Control ◽  
Narrow Band

The performance of active control of random noise in cars

2008 ◽  
Vol 123 (4) ◽  
pp. 1838-1841 ◽  
Author(s):  
Janatul I. Mohammad ◽  
Stephen J. Elliott ◽  
Andy Mackay
Keyword(s):  
Active Control ◽  
Random Noise

scholarly journals A Modified Filtered-X LMS Algorithm for Active Control of Periodic Noise with On-Line Cancellation Path Modelling

2000 ◽  
Vol 19 (1) ◽  
pp. 35-46 ◽  
Author(s):  
Xiaojun Qiu ◽  
Colin H. Hansen
Keyword(s):  
Transfer Function ◽  
Active Control ◽  
Random Noise ◽  
Reference Signal ◽  
Fir Filter ◽  
Lms Algorithm ◽  
Adaptive Estimator ◽  
Periodic Noise ◽  
Fxlms Algorithm ◽  
On Line

The filtered-x LMS algorithm (FXLMS) has been successfully applied to the active control of periodic and random noise and vibration. This paper presents a modified algorithm for active control of periodic noise based on the FXLMS algorithm which uses random noise for on-line cancellation path transfer function (CPTF) estimation. In the proposed algorithm, another two short adaptive filters are introduced. One is an adaptive noise cancellation filter, which is used to improve the convergence speed of the CPTF modelling filter in the presence of very large amplitude primary noise by cancelling the component of the error signal that is correlated with the primary noise. The other is an adaptive estimator, which is used to re-estimate the obtained CPTF (long FIR filter estimated by random noise) with a short FIR filter by using the periodic reference signal as the input. The traditional FXLMS algorithm is then used with the shortened FIR filter to filter the reference signal, thus providing significant processing flexibility in practical situations where the primary path transfer function changes much faster than the CPTF. Simulation results demonstrate the effectiveness of the proposed algorithm.

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