本帖最后由 wanglei_86 于 2010-5-12 10:48 编辑 ( R7 g' A- k W& _1 J+ w! F% S! C) ~4 r3 a& K
欢迎大家一起研究S变换/ E2 e, |% V& d, J% K1 {' ^
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A new approach to voltage sag detection based on wavelet transform.pdf/ q9 O9 Z. E' }( m* e: S
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An expert system based on S-transform and neural network for automatic classification of power quality disturbances.pdf5 a6 g$ k5 e2 p' }% n' ^- U: [ ^
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Detection and classification of power quality disturbances using S-transform and modular neural network.pdf( i( A9 e" s% z5 `, E8 v
4 U, d; ?; b- X5 L* IIEEE Recommended Practice for Monitoring Electric Power Quality.pdf * y$ A# D! a h0 N# K W+ S6 g( B- N$ u' i/ u, h7 r/ c
Localization of the Complex SpectrumThe S Transform.pdf1 V/ s5 w) c3 t5 y+ Y5 P
9 R6 }( T% R, K9 Y3 fPattern recognition of power signal disturbances using S Transform and TT Transfom.pdf 8 O, G. |5 N% x4 A' @, [8 ?) l. ?% P8 v: c# @( K2 R) _
Power quality disturbance classification utilizing S-transform and binary feature matrix method.pdf9 P6 b0 i+ z9 f0 f a- K
- Y& z& l1 T1 }4 _0 D7 f. f6 k0 r. G& @' ]Rule based system for power quality disturbance classification incorporating S-transform features.pdf ! p3 L) H0 h' W. m * \$ J8 x- i% `Short duration disturbance classifying based on S-transform maximum similarity.pdf
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发表于 2010-5-11 16:15:00
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