A family of normalized dual sign algorithms

Zong, Yulian; Ni, Jingen; Chen, Jie

doi:10.1016/j.dsp.2020.102954

Cited by 6 publications

(1 citation statement)

References 35 publications

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“…This algorithm enhances system performance in sparse environments, where ε is a non-zero decimal number. Zong proposed a series of dual sign algorithms (DSA) and introduced compensation terms related to the l 1 and l 0 moments of weight coefficients in the weight coefficient update formula to accelerate the convergence process in sparse environments [21].…”

Section: Other Algorithmsmentioning

confidence: 99%

Review of Advances in Active Impulsive Noise Control with Focus on Adaptive Algorithms

Liu,

Lei

2024

Applied Sciences

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Mitigating low-frequency noise in various industrial applications often involves the use of the filter-x least mean squares (FxLMS) algorithm, which relies on the mean square error criterion. This algorithm has demonstrated effectiveness in reducing noise induced by Gaussian noise within noise control systems. However, the performance of this algorithm experiences significant degradation and does not converge properly in the presence of impulsive noise. Consequently, to uphold the stability of the ANC system, several robust adaptive algorithms tailored to handle shock noise interference have been introduced. This paper systematically organizes and classifies robust adaptive algorithms designed for impulse noise based on algorithmic criteria, offering valuable insights for the research and application of pertinent active impact noise control methods.

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Section: Other Algorithmsmentioning

confidence: 99%