Journal of Electrical and Computer Engineering / 2012 / Article / Tab 3

Research Article

Target Detection Using Nonsingular Approximations for a Singular Covariance Matrix

Table 3

This table shows the time it took to complete the calculation of a dataset.

“Name”“OWS”“GWS”Original SMT number of rotationsSMT after PCA number of rotationsRotations number ratio

“OP1_T1_S10”91384518512.1
“OP1_T1_S33”91379418312.1
“OP1_T1_S100”91382018062.1

“OP1_T1_S10”71278115081.8
“OP1_T1_S33”71276914981.8
“OP1_T1_S100”71277014571.9

“OP1_T1_S10”51196511771.7
“OP1_T1_S33”51196912031.6
“OP1_T1_S100”51196511221.8

“OP1_T1_S10”3111954422.7
“OP1_T1_S33”3111874072.9
“OP1_T1_S100”3112014212.9

“OP2_T1_S10”9121358392.5
“OP2_T1_S33”9121058402.5
“OP2_T1_S100”9120958272.5

“OP2_T1_S10”7114806472.3
“OP2_T1_S33”7114816412.3
“OP2_T1_S100”7114646352.3

“OP2_T1_S10”519614402.2
“OP2_T1_S33”519624352.2
“OP2_T1_S100”519604312.2

“OP2_T1_S10”315562032.7
“OP2_T1_S33”315552052.7
“OP2_T1_S100”315522062.7

The smaller the number of rotations, the less time needed for the calculation.

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