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Robust Exponential Hyperbolic Secant Algorithm for Active Control Against Impulsive Noise Environments
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DOI：10.1109/LSP.2026.3653694.png)
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The effectiveness of conventional active noise control (ANC) system deteriorates significantly when operating against impulsive noise environments. Over the past few years, the hyperbolic family of adaptive filtering algorithms have been extensively applied for suppressing impulsive noise. This work introduces a new exponential hyperbolic secant adaptive filter for active control operation, which is well suited for impulsive noise scenarios. Additionally, the stability condition in relation to the learning rate, steady-state analysis along with the computational complexity are also studied. Simulation outcomes based on measured acoustic paths demonstrate the efficiency of the proposed algorithm under strong and dynamic impulsive environment.
Keyword:
Adaptive filter
active noise control
impulsive noise
stability
noise reduction
期刊
I
IF:
3.9
论文数:
784
被引数:
0
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引用论文
SIGNAL-PROCESSING WITH FRACTIONAL LOWER ORDER MOMENTS - STABLE PROCESSES AND THEIR APPLICATIONS.png)
PROCEEDINGS OF THE IEEE
PROCEEDINGS OF THE IEEEIF25.9
PREAI
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