Vehicle Cabin Noise Cancellation Model Using Pre-Filter for Improved Convergence Rate and Better Stability
نویسندگان
چکیده
Adaptive algorithms are used in updating the filter coefficients for active noise cancellation applications reduction of vehicle cabin noise. The performance adaptive low-frequency depends on how efficiently it alters coefficient to minimize difference between approximated signal and original one. Here is proposed an model, using low pass fixed before filter, order improve algorithm. Convergence rate, SNR error vector magnitude analysed algorithm support our research results.
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ژورنال
عنوان ژورنال: Komunikácie
سال: 2023
ISSN: ['1335-4205']
DOI: https://doi.org/10.26552/com.c.2023.003