Active noise control

Reduction (mathematics)

Algorithm

Image (mathematics)

Noise control

Physics

Sociology

Minification

Artificial intelligence

Loudspeaker

Economics

Noise reduction

Energy (signal processing)

Programming language

Acoustics

Geometry

Convergence (economics)

SIGNAL (programming language)

Mathematics

Social science

Computer science

Economic growth

Quantum mechanics

Secondary source

Noise (video)

IEEE/ACM Transactions on Audio Speech and Language Processing

Noise control and cancellation over a spatial region is a fundamental problem in acoustic signal processing. In this paper, we utilize wave-domain adaptive algorithms to iteratively calculate the secondary source driving signals and to cancel the primary noise field over the control region. We propose wave-domain active noise control algorithms based on two minimization problems: first, minimizing the wave-domain residual signal coefficients, and second, minimizing the acoustic potential energy over the region, and derive the update equations with respect to two variables, the loudspeaker weights and wave-domain secondary source coefficients. Simulation results demonstrate the effectiveness of the proposed algorithms, more specifically the convergence speed and the noise cancellation performance in terms of the noise reduction level and acoustic potential energy reduction level over the entire spatial region.

Active Noise Control Over Space: A Wave Domain Approach