Practical active noise control: restriction of maximum output power
This paper presents some recent algorithms developed by the authors for real-time adaptive active noise (AANC) control systems. These algorithms address some of the common challenges faced by AANC systems, such as speaker saturation, system divergence, and disturbance rejection. Speaker saturatio...
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Main Authors: | , , |
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Other Authors: | |
Format: | Conference or Workshop Item |
Language: | English |
Published: |
2023
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Subjects: | |
Online Access: | https://hdl.handle.net/10356/172215 |
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Institution: | Nanyang Technological University |
Language: | English |
Summary: | This paper presents some recent algorithms developed by the authors for real-time adaptive active noise (AANC)
control systems. These algorithms address some of the common
challenges faced by AANC systems, such as speaker saturation,
system divergence, and disturbance rejection. Speaker saturation
can introduce nonlinearity into the adaptive system and degrade
the noise reduction performance. System divergence can occur
when the secondary speaker units are over-amplified or when
there is a disturbance other than the noise to be controlled.
Disturbance rejection is important to prevent the adaptive system
from adapting to unwanted signals. The paper provides guidelines
for implementing and operating real-time AANC systems based
on these algorithms |
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