scholarly journals Implementation of a New Hybrid Methodology for Fault Signal Classification Using Short -Time Fourier Transform and Support Vector Machines

2010 ◽  
pp. 219-225 ◽  
Author(s):  
Tribeni Prasad Banerjee ◽  
Swagatam Das ◽  
Joydeb Roychoudhury ◽  
Ajith Abraham
Keyword(s):  
Fourier Transform ◽  
Support Vector Machines ◽  
Signal Classification ◽  
Support Vector ◽  
Short Time Fourier Transform ◽  
Vector Machines ◽  
Short Time ◽  
Hybrid Methodology

Optimized support vector machines for nonstationary signal classification

2002 ◽  
Vol 9 (12) ◽  
pp. 442-445 ◽  
Author(s):  
M. Davy ◽  
A. Gretton ◽  
A. Doucet ◽  
P.J.W. Rayner
Keyword(s):  
Support Vector Machines ◽  
Signal Classification ◽  
Support Vector ◽  
Nonstationary Signal ◽  
Vector Machines

Determination of the contents of magnesium and potassium in rapeseeds using FTIR-PAS combined with least squares support vector machines and uninformative variable elimination

2014 ◽  
Vol 6 (8) ◽  
pp. 2586-2591 ◽  
Author(s):  
Yuzhen Lu ◽  
Changwen Du ◽  
Changbing Yu ◽  
Jianmin Zhou
Keyword(s):  
Fourier Transform ◽  
Support Vector Machines ◽  
Photoacoustic Spectroscopy ◽  
Support Vector ◽  
Mid Infrared ◽  
Variable Elimination ◽  
Vector Machines ◽  
Infrared Photoacoustic Spectroscopy ◽  
Uninformative Variable Elimination

Fourier transform mid-infrared photoacoustic spectroscopy (FTIR-PAS) was employed to determine the contents of magnesium and potassium in rapeseeds.

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