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Fan et al. [15] set up a multilayer perceptron neural network prediction model based on phase reconstruction, which is for carbon price to characterize its strong nonlinearity.
A total of 62 haplotypes, including 37 singletons, were identified based on phase reconstruction using the 70 segregating polymorphisms (Additional file 6).
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In this paper, a blind high-frequency reconstruction method of audio signals based on phase space reconstruction (PSR) and non-linear prediction is proposed.
In this paper, a novel blind bandwidth extension method is proposed based on phase space reconstruction.
Then, the phase space of multiple measures chaotic time series are reconstructed based on the phase space reconstruction theory and fused into a same multi-dimensional phase space using the Bayesian estimation theory.
The forecasting method was based on the phase space reconstruction theory and a mathematic model in the form of datum driving had been developed to carry out the prediction.
Based on the phase space reconstruction of Duffing system output, the maximal LE was calculated to characterize the magnitude of the second harmonic.
Imputation methods are typically based on reconstruction and phasing of inferred haplotypes.
The number of input nodes for each RBF subnet is determined by different embedding dimension based on chaotic phase-space reconstruction.
This paper presents a novel ionospheric phase decontamination algorithm based on sparse reconstruction.
On the basis of above considerations, this paper gives a high-accuracy ionospheric phase decontamination algorithm based on sparse reconstruction.
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