A fast algorithm for speech polarity detection using long-term linear prediction

2014 ◽  
Author(s):  
B. Abhiram ◽  
A. P. Prathosh ◽  
A. G. Ramakrishnan
Keyword(s):  
Fast Algorithm ◽  
Linear Prediction ◽  
Term Linear

scholarly journals Early childhood diarrhoea and helminthiases associate with long-term linear growth faltering

2001 ◽  
Vol 30 (6) ◽  
pp. 1457-1464 ◽  
Author(s):  
SR Moore ◽  
AAM Lima ◽  
MR Conaway ◽  
JB Schorling ◽  
AM Soares ◽  
...  
Keyword(s):  
Early Childhood ◽  
Linear Growth ◽  
Childhood Diarrhoea ◽  
Term Linear ◽  
Growth Faltering

Performance Similarity Based Method for Enhanced Prediction of Manufacturing Process Performance

2004 ◽  
Author(s):  
Jianbo Liu ◽  
Dragan Djurdjanovic ◽  
Jun Ni ◽  
Jay Lee
Keyword(s):  
Prediction Accuracy ◽  
Linear Prediction ◽  
Moving Average ◽  
Degradation Process ◽  
Remaining Useful Life ◽  
Term Prediction ◽  
Arma Modeling ◽  
Prediction Techniques ◽  
Long Term Prediction

Full realization of all potentials in predictive and proactive maintenance highly depends on the accuracy of long-term predictions of the remaining useful life of manufacturing equipment. Parametric linear prediction techniques, such as Autoregressive Moving Average modeling (ARMA), are routinely used to trend and predict future behavior of any time series, but are frequently not appropriate for long-term prediction because of the highly complicated and non-stationary nature of manufacturing processes. In this paper, we propose a novel method that is capable of achieving high long-term prediction accuracy by comparing signatures from two degradation processes using measures of similarity that form a Match Matrix. Through this concept, we can effectively include large amounts of historical information into the prediction of the current degradation process. Similarities with historical records are used to generate possible future distributions of features, which is then used to predict probabilities of failure over time by evaluating overlaps between predicted feature distributions and feature distributions related to unacceptable equipment behavior. Experimental results show that the proposed method results in a significant improvement of long-term prediction accuracy compared with ARMA modeling-based prediction.

Production Analysis of Long-Term Linear Flow in Tight Gas Reservoirs: Case Histories

2001 ◽  
Author(s):  
Jorge A. Arevalo-Villagran ◽  
Robert A. Wattenbarger ◽  
Fernando Samaniego-Verduzco ◽  
Tai T. Pham
Keyword(s):  
Tight Gas ◽  
Case Histories ◽  
Gas Reservoirs ◽  
Linear Flow ◽  
Tight Gas Reservoirs ◽  
Term Linear ◽  
Production Analysis
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