本帖最后由 wanglei_86 于 2010-5-12 10:48 编辑 7 i0 ]2 Z: ^- [6 e+ n( o . c( i: h2 I0 `6 e; C( S9 j( |欢迎大家一起研究S变换/ c0 U) w/ o& D$ R( ?: Z) U( d
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A new approach to voltage sag detection based on wavelet transform.pdf . _ Z, Z: i" T: Y3 u4 U n) v+ k8 g, ~- e" m0 k/ i9 [, N, _5 ?$ A1 i: L2 ]( p
An expert system based on S-transform and neural network for automatic classification of power quality disturbances.pdf2 R8 h! q3 G; N. N3 w! `! |' N
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Detection and classification of power quality disturbances using S-transform and modular neural network.pdf - Q& R- z" b# u% }4 @7 s& X+ S/ n9 K$ s, N5 v6 |
IEEE Recommended Practice for Monitoring Electric Power Quality.pdf ; B. Q k* t# ?" ?1 R( y9 d- @0 x+ t- V3 A7 p
Localization of the Complex SpectrumThe S Transform.pdf ; ^1 ?' w& g6 z0 k! x6 Y4 [ ' G. Y$ k1 s& N" v0 P! ^4 ~Pattern recognition of power signal disturbances using S Transform and TT Transfom.pdf 1 p. j+ `: s4 A, ?+ E8 q. F1 U: ^2 i; a% }+ _
Power quality disturbance classification utilizing S-transform and binary feature matrix method.pdf W _/ I8 e- R . B7 i3 s6 Z# i s6 C7 `) qRule based system for power quality disturbance classification incorporating S-transform features.pdf ( l" ^" I; F: f# t3 z- v % T2 T k7 }. p' d$ DShort duration disturbance classifying based on S-transform maximum similarity.pdf