Charbonnier Quasi Hyperbolic Momentum Spline Based Incremental Strategy for Nonlinear Distributed Active Noise Control
Noise mitigation proves to be a challenging task for active noise control in the existence of nonlinearities. In such environments, functional link neural network (FLN) and adaptive exponential FLN techniques improve the performance of distributed active noise control systems. Nonlinear spline appro...
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| Format: | Article |
| Language: | English |
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IEEE
2025-01-01
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| Series: | IEEE Open Journal of Signal Processing |
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| Online Access: | https://ieeexplore.ieee.org/document/10759299/ |
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| author | Rajapantula Kranthi Vasundhara Asutosh Kar Mads Grasboll Christensen |
| author_facet | Rajapantula Kranthi Vasundhara Asutosh Kar Mads Grasboll Christensen |
| author_sort | Rajapantula Kranthi |
| collection | DOAJ |
| description | Noise mitigation proves to be a challenging task for active noise control in the existence of nonlinearities. In such environments, functional link neural network (FLN) and adaptive exponential FLN techniques improve the performance of distributed active noise control systems. Nonlinear spline approaches are well known for their low computational complexity and ability to effectively alleviate noise in nonlinear systems. This paper proposes a new cost function for distributed active noise control (DANC) system which is based on the Charbonnier quasi hyperbolic momentum spline (CQHMS) involving incremental approach. This incremental based CQHMS DANC method employs Charbonnier loss and quasi hyperbolic momentum approach which minimizes gradient variance and local crossover points in order to enhance the convergence and steady-state performance. The technique being proposed demonstrates enhanced performance and achieves accelerated convergence when compared to existing techniques in a range of nonlinear DANC scenarios in lieu of varied nonlinear primary path and nonlinear secondary path conditions. |
| format | Article |
| id | doaj-art-4bf79943ce8c433d812b48d8f1c0ec34 |
| institution | Kabale University |
| issn | 2644-1322 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Open Journal of Signal Processing |
| spelling | doaj-art-4bf79943ce8c433d812b48d8f1c0ec342025-01-09T00:02:51ZengIEEEIEEE Open Journal of Signal Processing2644-13222025-01-01611510.1109/OJSP.2024.350177410759299Charbonnier Quasi Hyperbolic Momentum Spline Based Incremental Strategy for Nonlinear Distributed Active Noise ControlRajapantula Kranthi0https://orcid.org/0000-0002-7957-8272 Vasundhara1https://orcid.org/0000-0003-0509-4563Asutosh Kar2https://orcid.org/0000-0003-0011-0069Mads Grasboll Christensen3https://orcid.org/0000-0003-3586-7969Department of Electronics and Communication Engineering, National Institute of Technology, Warangal, IndiaDepartment of Electronics and Communication Engineering, National Institute of Technology, Warangal, IndiaDepartment of Electronics and Communication Engineering, Dr B R Ambedkar National Institute of Technology Jalandhar, Jalandhar, IndiaDepartment of Electronic Systems, Aalborg University, Aalborg, DenmarkNoise mitigation proves to be a challenging task for active noise control in the existence of nonlinearities. In such environments, functional link neural network (FLN) and adaptive exponential FLN techniques improve the performance of distributed active noise control systems. Nonlinear spline approaches are well known for their low computational complexity and ability to effectively alleviate noise in nonlinear systems. This paper proposes a new cost function for distributed active noise control (DANC) system which is based on the Charbonnier quasi hyperbolic momentum spline (CQHMS) involving incremental approach. This incremental based CQHMS DANC method employs Charbonnier loss and quasi hyperbolic momentum approach which minimizes gradient variance and local crossover points in order to enhance the convergence and steady-state performance. The technique being proposed demonstrates enhanced performance and achieves accelerated convergence when compared to existing techniques in a range of nonlinear DANC scenarios in lieu of varied nonlinear primary path and nonlinear secondary path conditions.https://ieeexplore.ieee.org/document/10759299/Charbonnier functionnonlinear distributed ANCquasi hyperbolic momentumspline |
| spellingShingle | Rajapantula Kranthi Vasundhara Asutosh Kar Mads Grasboll Christensen Charbonnier Quasi Hyperbolic Momentum Spline Based Incremental Strategy for Nonlinear Distributed Active Noise Control IEEE Open Journal of Signal Processing Charbonnier function nonlinear distributed ANC quasi hyperbolic momentum spline |
| title | Charbonnier Quasi Hyperbolic Momentum Spline Based Incremental Strategy for Nonlinear Distributed Active Noise Control |
| title_full | Charbonnier Quasi Hyperbolic Momentum Spline Based Incremental Strategy for Nonlinear Distributed Active Noise Control |
| title_fullStr | Charbonnier Quasi Hyperbolic Momentum Spline Based Incremental Strategy for Nonlinear Distributed Active Noise Control |
| title_full_unstemmed | Charbonnier Quasi Hyperbolic Momentum Spline Based Incremental Strategy for Nonlinear Distributed Active Noise Control |
| title_short | Charbonnier Quasi Hyperbolic Momentum Spline Based Incremental Strategy for Nonlinear Distributed Active Noise Control |
| title_sort | charbonnier quasi hyperbolic momentum spline based incremental strategy for nonlinear distributed active noise control |
| topic | Charbonnier function nonlinear distributed ANC quasi hyperbolic momentum spline |
| url | https://ieeexplore.ieee.org/document/10759299/ |
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