On the development of a partial update multichannel nonlinear active noise control systemd
Source
7th International Conference on Signal Processing and Communication Systems
Date Issued
2013-12-16
Author(s)
George, Nithin V.
Panda, Ganapati
Kumar, Vikash
Abstract
High computational load involved in nonlinear adaptive controllers acts as a bottleneck in the deployment of large multichannel active noise control systems. In order to circumvent this limitation, this paper proposes a computationally efficient multichannel nonlinear active noise control scheme based on the principle of partial updates. Simulation study reveals significant reduction in computational complexity with remarkable noise cancellation performance of the proposed active noise control system.
Subjects
Artificial neural network
Functional link
Filtered-s least mean square algorithm.
Multichannel active noise control
Partial update adaptive algorithm
