scholarly journals Hidden Phase Space Reconstruction: A Novel Chaotic Time Series Prediction Method for Speech Signals

2018 ◽  
Vol 27 (6) ◽  
pp. 1221-1228 ◽  
Author(s):  
Jingjing Li ◽  
Qijin Zhang ◽  
Yumei Zhang ◽  
Xiaojun Wu ◽  
Xiaoming Wang ◽  
...  
Keyword(s):  
Time Series ◽  
Phase Space ◽  
Time Series Prediction ◽  
Prediction Method ◽  
Phase Space Reconstruction ◽  
Chaotic Time Series ◽  
Speech Signals ◽  
Chaotic Time Series Prediction

Chaotic time series prediction of E-nose sensor drift in embedded phase space

2013 ◽  
Vol 182 ◽  
pp. 71-79 ◽  
Author(s):  
Lei Zhang ◽  
Fengchun Tian ◽  
Shouqiong Liu ◽  
Lijun Dang ◽  
Xiongwei Peng ◽  
...  
Keyword(s):  
Time Series ◽  
Phase Space ◽  
Time Series Prediction ◽  
Chaotic Time Series ◽  
Sensor Drift ◽  
Chaotic Time Series Prediction

Prediction the Chaotic Time Series of the Radio Signal Propagates through the Ionosphere

2011 ◽  
Vol 403-408 ◽  
pp. 1487-1490
Author(s):  
Bao Ke Ma ◽  
Li Xin Guo ◽  
Bei Chen Zhang
Keyword(s):  
Time Series ◽  
Radio Wave ◽  
Time Series Prediction ◽  
Prediction Method ◽  
Chaotic Time Series ◽  
Signal Distortion ◽  
Short Term ◽  
Modified Method ◽  
Radio Signals ◽  
Chaotic Time Series Prediction

The signal distortion will be taken place and a set of attenuation time series will also be produced due to the interaction between the radio wave and the ionospheric irregularities when radio wave propagates through the ionosphere. In this article, based on the traditional chaotic time series prediction and the characteristic of the attenuation time series of the ionosphere, the traditional chaotic prediction method is modified, and a more suitable method is given. Final, by using the modified method, a set of attenuate amplitude time series of the radio signals which propagates through the ionosphere were predicted, and analyzed its prediction accuracy. The results showed that the modified prediction method is very good and accuracy at the short-term.

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