A Denoising Algorithm for Noisy Chaotic Signals Based on the Higher Order Threshold Function in Wavelet-Packet
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Abstract
Aiming at the shortage of conventional threshold function in wavelet noise reduction of chaotic signals, we propose a wavelet-packet noise reduction method of chaotic signals based on a new higher order threshold function. The method retains the useful high-frequency information, and the threshold function is continuous and derivable, therefore it is more consistent with the characteristics of the continuous signal. Contrast simulation experiment shows that the effect of noise reduction and the precision of noise reduction of chaotic signals both are improved.
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DENG Ke, ZHANG Lu, LUO Mao-Kang. A Denoising Algorithm for Noisy Chaotic Signals Based on the Higher Order Threshold Function in Wavelet-Packet[J]. Chin. Phys. Lett., 2011, 28(2): 020502. DOI: 10.1088/0256-307X/28/2/020502
DENG Ke, ZHANG Lu, LUO Mao-Kang. A Denoising Algorithm for Noisy Chaotic Signals Based on the Higher Order Threshold Function in Wavelet-Packet[J]. Chin. Phys. Lett., 2011, 28(2): 020502. DOI: 10.1088/0256-307X/28/2/020502
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DENG Ke, ZHANG Lu, LUO Mao-Kang. A Denoising Algorithm for Noisy Chaotic Signals Based on the Higher Order Threshold Function in Wavelet-Packet[J]. Chin. Phys. Lett., 2011, 28(2): 020502. DOI: 10.1088/0256-307X/28/2/020502
DENG Ke, ZHANG Lu, LUO Mao-Kang. A Denoising Algorithm for Noisy Chaotic Signals Based on the Higher Order Threshold Function in Wavelet-Packet[J]. Chin. Phys. Lett., 2011, 28(2): 020502. DOI: 10.1088/0256-307X/28/2/020502
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