TY - GEN
T1 - Noise cancellation over spatial regions using adaptive wave domain processing
AU - Zhang, Jihui
AU - Zhang, Wen
AU - Abhayapala, Thushara D.
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2015/11/24
Y1 - 2015/11/24
N2 - This paper proposes wave-domain adaptive processing for noise cancellation within a large spatial region. We use fundamental solutions of the Helmholtz wave-equation as basis functions to express the noise field over a spatial region and show the wave-domain processing directly on the decomposition coefficients to control the entire region. A feedback control system is implemented, where only a single microphone array is placed at the boundary of the control region to measure the residual signals, and a loudspeaker array is used to generate the anti-noise signals. We develop the adaptive wave-domain filtered-x least mean square algorithm. Simulation results show that using the proposed method the noise over the entire control region can be significantly reduced with fast convergence in both free-field and reverberant environments.
AB - This paper proposes wave-domain adaptive processing for noise cancellation within a large spatial region. We use fundamental solutions of the Helmholtz wave-equation as basis functions to express the noise field over a spatial region and show the wave-domain processing directly on the decomposition coefficients to control the entire region. A feedback control system is implemented, where only a single microphone array is placed at the boundary of the control region to measure the residual signals, and a loudspeaker array is used to generate the anti-noise signals. We develop the adaptive wave-domain filtered-x least mean square algorithm. Simulation results show that using the proposed method the noise over the entire control region can be significantly reduced with fast convergence in both free-field and reverberant environments.
KW - Active noise control
KW - Adaptive algorithm
KW - Feedback system
KW - Multi-channel system
KW - Wave domain signal processing
UR - http://www.scopus.com/inward/record.url?scp=84960865009&partnerID=8YFLogxK
U2 - 10.1109/WASPAA.2015.7336946
DO - 10.1109/WASPAA.2015.7336946
M3 - Conference contribution
T3 - 2015 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, WASPAA 2015
BT - 2015 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, WASPAA 2015
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, WASPAA 2015
Y2 - 18 October 2015 through 21 October 2015
ER -