Active noise control techniques for nonlinear systems
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Abstract (arXiv)
Most of the literature focuses on the development of the linear active noise control (ANC) techniques. However, ANC systems might have to deal with some nonlinear components and the performance of linear ANC techniques may degrade in this scenario. To overcome this limitation, nonlinear ANC (NLANC) algorithms were developed. In Part II, we review the development of NLANC algorithms during the last decade. The contributions of heuristic ANC algorithms are outlined. Moreover, we emphasize recent advances of NLANC algorithms, such as spline ANC algorithms, kernel adaptive filters, and nonlinear distributed ANC algorithms. Then, we present recent applications of ANC technique including linear and nonlinear perspectives. Future research challenges regarding ANC techniques are also discussed.
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6 of 283 references.
References · 6
- 2016Design of Robust Adaptive Beamforming Algorithms Based on Low-Rank and Cross-Correlation Techniquescited by 20
- 2014Direction Finding Algorithms with Joint Iterative Subspace Optimizationcited by 19
- 2014Sparsity-Aware Adaptive Algorithms Based on Alternating Optimization with Shrinkagecited by 15
- 2018Subspace-Orbit Randomized Decomposition for Low-rank Matrix Approximationcited by 10
- 2018Study of Robust Diffusion Recursive Least Squares Algorithms with Side Information for Networked Agentscited by 10
- 2018Mode Domain Spatial Active Noise Control Using Sparse Signal Representationcited by 2
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