scholarly journals Prediction of global ionospheric VTEC maps using an adaptive autoregressive model

2018 ◽  
Vol 70 (1) ◽  
Author(s):  
Cheng Wang ◽  
Shaoming Xin ◽  
Xiaolu Liu ◽  
Chuang Shi ◽  
Lei Fan
Keyword(s):  
Autoregressive Model ◽  
Adaptive Autoregressive Model

Color-Guided Depth Recovery From RGB-D Data Using an Adaptive Autoregressive Model

2014 ◽  
Vol 23 (8) ◽  
pp. 3443-3458 ◽  
Author(s):  
Jingyu Yang ◽  
Xinchen Ye ◽  
Kun Li ◽  
Chunping Hou ◽  
Yao Wang
Keyword(s):  
Autoregressive Model ◽  
Depth Recovery ◽  
Adaptive Autoregressive Model

Glucose Prediction and Hypoglycemia Alarms Based on Adaptive Model

2014 ◽  
Vol 971-973 ◽  
pp. 275-279
Author(s):  
Yan Nian Wang ◽  
Yan Rui Shen ◽  
Yong Qiang Yong ◽  
Quan Zhong Li ◽  
Chang Qing Sun
Keyword(s):  
Kalman Filter ◽  
Prediction Model ◽  
Glucose Concentration ◽  
Autoregressive Model ◽  
Adaptive Model ◽  
Noise Interference ◽  
Glucose Prediction ◽  
Adaptive Autoregressive Model ◽  
Concentration Signal

The paper proposes a glucose prediction model and hypoglycemia alarms technology based on CGMS. Method: By using kalman filter to smooth the glucose data from the CGMS, reducing noise interference; Then according to the non-stationary characteristics of glucose concentration signal ,Using adaptive autoregressive model (AR) glucose prediction model is established; Finally, the prediction model is applied to hypoglycemia alarms. Results: The prediction model can dynamically capture the changes of the glucose and predict glucose of 30 min ahead, RMSE、SSGPE were 5.069,5.276; And hypoglycemia can be timely detected.

Edge-preserving adaptive autoregressive model for Poisson noise reduction

2021 ◽  
Vol Publish Ahead of Print ◽  
Author(s):  
Reijo Takalo ◽  
Heli Hytti ◽  
Heimo Ihalainen ◽  
Antti Sohlberg
Keyword(s):  
Noise Reduction ◽  
Autoregressive Model ◽  
Poisson Noise ◽  
Edge Preserving ◽  
Adaptive Autoregressive Model
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