A Linear-Prediction Approach to Developing Test Norms Based on Matrix-Sampling

1972 ◽  
Vol 32 (1) ◽  
pp. 75-84 ◽  
Author(s):  
David J. Kleinke
Keyword(s):  
Linear Prediction ◽  
Test Norms ◽  
Matrix Sampling ◽  
Prediction Approach

Haptic Data Compression Based on Linear Prediction

2013 ◽  
Vol 712-715 ◽  
pp. 2712-2715
Author(s):  
Feng Hua Guo
Keyword(s):  
Data Reduction ◽  
Haptic Perception ◽  
Linear Prediction ◽  
Least Squares Method ◽  
Reduction Rate ◽  
Perceptual Quality ◽  
Data Packets ◽  
Data Reduction Technique ◽  
Prediction Approach

A new linear prediction-based haptic data reduction technique is presented. The prediction approach relies on the least-squares method to reduce the number of data packets. Knowledge from human haptic perception is incorporated into the architecture to assess the perceptual quality of the compressed haptic signals. Experiments prove the effectiveness of the proposed approach in data reduction rate.

Generalized two-sided linear prediction approach for land mine detection

2008 ◽  
Vol 88 (4) ◽  
pp. 1053-1060 ◽  
Author(s):  
Thomas C.T. Chan ◽  
H.C. So ◽  
K.C. Ho
Keyword(s):  
Linear Prediction ◽  
Mine Detection ◽  
Land Mine ◽  
Land Mine Detection ◽  
Prediction Approach

scholarly journals A theory for non-linear prediction approach in the presence of vague variables: with application to BMI monitoring

2015 ◽  
Vol 3 (1) ◽  
Author(s):  
R. Pourmousa ◽  
M. Rezapour ◽  
M. Mashinchi
Keyword(s):  
Linear Prediction ◽  
Real Data ◽  
Continuous Data ◽  
Data Set ◽  
Truncated Data ◽  
Fault Inference ◽  
Prediction Approach ◽  
The Relationship ◽  
Threshold Point ◽  
Error Of Measurement

AbstractIn the statistical literature, truncated distributions can be used for modeling real data. Due to error of measurement in truncated continuous data, choosing a crisp trimmed point caucuses a fault inference, so using fuzzy sets to define a threshold pointmay leads us more efficient results with respect to crisp thresholds. Arellano-Valle et al. [2] defined a selection distribution for analysis of truncated data with crisp threshold. In this paper, we define fuzzy multivariate selection distribution that is an extension of the selection distributions using fuzzy threshold. A practical data set with a fuzzy threshold point is considered to investigate the relationship between high blood pressure and BMI.

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