Analysis of subspace fitting and ML techniques for parameter estimation from sensor array data

1992 ◽  
Vol 40 (3) ◽  
pp. 590-600 ◽  
Author(s):  
B. Ottersten ◽  
M. Viberg ◽  
T. Kailath
2017 ◽  
Vol 13 (2) ◽  
pp. 155014771769258
Author(s):  
Danyang Li ◽  
Wei Huangfu ◽  
Keping Long

A sensor array produces lots of bits of data every sample period, which may cause a heavy burden on the long-distance wireless data transmission, especially in the scenarios of wireless sensor networks. A lossy but error-bounded sensor array data compression algorithm is proposed, in which the major part of the sensor array data are approximated by the Catmull-Rom spline curve and the residual errors are quantized and encoded with Huffman coding. The performance of this algorithm has been evaluated with a real data set from the wireless hydrologic monitoring system deployed in Qinhuangdao Port of China. The results show that the algorithm performs well for the hydrologic sensor array data.


2004 ◽  
Vol 353 (3) ◽  
pp. 747-759 ◽  
Author(s):  
Rafael Rebolo ◽  
Richard A. Battye ◽  
Pedro Carreira ◽  
Kieran Cleary ◽  
Rod D. Davies ◽  
...  

Sensors ◽  
2016 ◽  
Vol 16 (5) ◽  
pp. 686 ◽  
Author(s):  
Kai Yu ◽  
Ming Yin ◽  
Ji-An Luo ◽  
Yingguan Wang ◽  
Ming Bao ◽  
...  

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