Anti-aliasing and reconstruction filter design for multi-channel active noise control window
This dissertation focuses on designing the required and reliable reconstruction filter circuit module and multi-channel Filtered-x Least Mean Square (FxLMS) algorithm module of an Active Noise Control (ANC) window system. These modules play an important role in the functional implementation of the e...
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sg-ntu-dr.10356-1756822024-05-03T15:45:47Z Anti-aliasing and reconstruction filter design for multi-channel active noise control window Liu, Yiran Gan Woon Seng School of Electrical and Electronic Engineering EWSGAN@ntu.edu.sg Engineering This dissertation focuses on designing the required and reliable reconstruction filter circuit module and multi-channel Filtered-x Least Mean Square (FxLMS) algorithm module of an Active Noise Control (ANC) window system. These modules play an important role in the functional implementation of the entire ANC window system. The dissertation firstly introduces the development and application of ANC technology through literature review. Then, the theoretical basis of filter and adaptive algorithm are discussed in depth, their necessary principles and mathematical formulas are described. Based on these, a reliable and stable reconstruction filter circuit module and multi-channel FxLMS module that meets the requirements of ANC window system are designed and implemented. In order to evaluate the feasibility of the design of the reconstruction filter circuit module and the multi-channel FxLMS algorithm module, the dissertation simulates the reconstruction filter circuit using TINA and LTspice, and applies the collected real-world noise signals to the simulation experiments of the multi-channel FxLMS algorithm training module, which evaluated the effectiveness of the training module under different noise conditions. After evaluation, the experimental results show that the reconstruction filter circuit module is able to achieve the task of converting the digital audio signals generated by the ANC window system via the digital signal processing (DSP) link into analogue signals, and the model trained by the multi-channel FxLMS algorithm training module is able to effectively attenuate the noise during the whole experiment. In conclusion, the design and implementation of these two modules are based on the realisation of the functional requirements with excellent performance, perfecting the construction of the ANC window system. Master's degree 2024-05-03T02:09:24Z 2024-05-03T02:09:24Z 2024 Thesis-Master by Coursework Liu, Y. (2024). Anti-aliasing and reconstruction filter design for multi-channel active noise control window. Master's thesis, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/175682 https://hdl.handle.net/10356/175682 en application/pdf Nanyang Technological University |
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Engineering Liu, Yiran Anti-aliasing and reconstruction filter design for multi-channel active noise control window |
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This dissertation focuses on designing the required and reliable reconstruction filter circuit module and multi-channel Filtered-x Least Mean Square (FxLMS) algorithm module of an Active Noise Control (ANC) window system. These modules play an important role in the functional implementation of the entire ANC window system.
The dissertation firstly introduces the development and application of ANC technology through literature review. Then, the theoretical basis of filter and adaptive algorithm are discussed in depth, their necessary principles and mathematical formulas are described. Based on these, a reliable and stable reconstruction filter circuit module and multi-channel FxLMS module that meets the requirements of ANC window system are designed and implemented.
In order to evaluate the feasibility of the design of the reconstruction filter circuit module and the multi-channel FxLMS algorithm module, the dissertation simulates the reconstruction filter circuit using TINA and LTspice, and applies the collected real-world noise signals to the simulation experiments of the multi-channel FxLMS algorithm training module, which evaluated the effectiveness of the training module under different noise conditions.
After evaluation, the experimental results show that the reconstruction filter circuit module is able to achieve the task of converting the digital audio signals generated by the ANC window system via the digital signal processing (DSP) link into analogue signals, and the model trained by the multi-channel FxLMS algorithm training module is able to effectively attenuate the noise during the whole experiment.
In conclusion, the design and implementation of these two modules are based on the realisation of the functional requirements with excellent performance, perfecting the construction of the ANC window system. |
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Gan Woon Seng |
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Gan Woon Seng Liu, Yiran |
format |
Thesis-Master by Coursework |
author |
Liu, Yiran |
author_sort |
Liu, Yiran |
title |
Anti-aliasing and reconstruction filter design for multi-channel active noise control window |
title_short |
Anti-aliasing and reconstruction filter design for multi-channel active noise control window |
title_full |
Anti-aliasing and reconstruction filter design for multi-channel active noise control window |
title_fullStr |
Anti-aliasing and reconstruction filter design for multi-channel active noise control window |
title_full_unstemmed |
Anti-aliasing and reconstruction filter design for multi-channel active noise control window |
title_sort |
anti-aliasing and reconstruction filter design for multi-channel active noise control window |
publisher |
Nanyang Technological University |
publishDate |
2024 |
url |
https://hdl.handle.net/10356/175682 |
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1814047057182195712 |