Dominant frequency component tracking of noisy time‐varying signals using the linear predictive coding pole processing method
نویسندگان
چکیده
The linear predictive coding pole processing (LPCPP) method proposed in our previous work overcomes the shortcomings of LPC method, especially its sensitivity to noise and filter order. LPCPP is a parameterised that involves poles produce series reduced-order transfer functions estimate dominant frequency components signal. This paper analyses ability track changes noisy, time-varying signals real-time. Linear chirped modulation are used experiments simulate with different rates change. results show can achieve real-time tracking signal outperforms under change levels. Specifically, valid percentage up 41.3% higher than which indicates significantly improves validity estimates.
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ژورنال
عنوان ژورنال: Electronics Letters
سال: 2021
ISSN: ['0013-5194', '1350-911X']
DOI: https://doi.org/10.1049/ell2.12362