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Combing with gradient decent algorithm in neural networks, an adaptive chaotic noise smoothing method is proposed. In this paper, wavelet coefficients of chaotic signals including approximate and detail information are obtained with dual-lifting wavelet transform. The approximate parts are handled by singular spectrum analysis in order to lower the containing noise, while the detail parts are analyzed...
Based on different features between chaotic signals and Gaussian noises, an adaptive noise reduction method is proposed using dual-lifting wavelet transform. The proposed method has two major steps: the estimation of approximation signals and the adaptive choice of detail coefficients. The former is handled by singular spectrum analysis, whereas the latter is analyzed combining with gradient decent...
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