Instantaneous Spectral Analysis: Time-Frequency Mapping Via Wavelet Matching With Application To 3D Gpr Contaminated Site Characterization

Author(s):  
John H. Bradford ◽  
Yafei Wu
Epilepsia ◽  
2013 ◽  
Vol 54 (8) ◽  
pp. 1402-1408 ◽  
Author(s):  
Jade Bayly ◽  
John Carino ◽  
Slavé Petrovski ◽  
Michelle Smit ◽  
Dilini A. Fernando ◽  
...  

1995 ◽  
Vol 117 (2) ◽  
pp. 121-132 ◽  
Author(s):  
R. Du ◽  
M. A. Elbestawi ◽  
S. M. Wu

This paper presents a systematic study of various monitoring methods suitable for automated monitoring of manufacturing processes. In general, monitoring is composed of two phases: learning and classification. In the learning phase, the key issue is to establish the relationship between monitoring indices (selected signature features) and the process conditions. Based on this relationship and the current sensor signals, the process condition is then estimated in the classification phase. The monitoring methods discussed in this paper include pattern recognition, fuzzy systems, decision trees, expert systems and neural networks. A brief review of signal processing techniques commonly used in monitoring, such as statistical analysis, spectral analysis, system modeling, bi-spectral analysis and time-frequency distribution, is also included.


Chemosphere ◽  
2008 ◽  
Vol 70 (6) ◽  
pp. 1135-1140 ◽  
Author(s):  
Maria Letizia Ruello ◽  
Miriam Sileno ◽  
Daniela Sani ◽  
Gabriele Fava

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