A Comparative Study on Characteristics and Properties of Adaptive Algorithms applied to Noise Cancellation Techniques

Kapoor, Janak; Mishra, G. R.; Rai, Manish

doi:10.1109/cctes.2018.8674070

Cited by 4 publications

(1 citation statement)

References 13 publications

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“…This paper presents a noise cancellation model with a fixed coefficient pre-filter. Performance of the proposed model is analyzed by applying four different algorithms namely the least mean square (LMS), normalized least mean square (NLMS), sign-error least mean square (SELMS) and sign-sign least mean square (SSLMS) for the same input noise signal [10]. Higher computational complexity, convergence speed and poor numerical properties are the main factors associated with adaptive algorithms [11].…”

Section: * F E N X Nmentioning

confidence: 99%

Vehicle Cabin Noise Cancellation Model Using Pre-Filter for Improved Convergence Rate and Better Stability

Kapoor¹,

Pathak²,

Rai³

et al. 2023

Communications

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Adaptive algorithms are used in updating the filter coefficients for active noise cancellation applications in reduction of vehicle cabin noise. The performance of the adaptive algorithms in low-frequency noise cancellation depends on how efficiently it alters the filter coefficient to minimize the difference between the approximated signal and the original one.Here is proposed an active noise cancellation model, using the low pass fixed coefficient filter before the adaptive filter, in order to improve the performance of the adaptive algorithm. Convergence rate, SNR and error vector magnitude are analysed for of adaptive algorithm in support of our research results.

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Section: * F E N X Nmentioning

confidence: 99%