本帖最后由 wanglei_86 于 2010-5-12 10:48 编辑 % H: h' L* p' C& o& r, f" a: r3 |+ ^9 ?3 j9 D2 ~
欢迎大家一起研究S变换 , V) _( n9 s8 L( Z6 {) r9 p $ v; j v' W! {! @$ Y5 C) WA new approach to voltage sag detection based on wavelet transform.pdf . L9 e2 z* `2 i# C- A ! n5 A; n1 s) r( MAn expert system based on S-transform and neural network for automatic classification of power quality disturbances.pdf - ^& S' B% q' b C8 |' }! Z) [7 w( `! b* U9 _- D
Detection and classification of power quality disturbances using S-transform and modular neural network.pdf h/ @" Q) j: B$ n3 \ , t, \% e, ~9 e1 A' n; ~8 m* ^9 XIEEE Recommended Practice for Monitoring Electric Power Quality.pdf- j7 u+ h4 N5 [7 y* }
+ t1 P5 ~+ `5 u) b0 lLocalization of the Complex SpectrumThe S Transform.pdf 2 ]( L" K& ~: n; O9 P: L4 _ V9 x2 v h& W3 D
Pattern recognition of power signal disturbances using S Transform and TT Transfom.pdf! [2 R+ G+ e1 i! |0 A
9 X, m. F9 e M" W. P f o4 gPower quality disturbance classification utilizing S-transform and binary feature matrix method.pdf ( V! ~- W( h3 F& O& X; M ! |3 t( K! w6 B, I" n$ `) C- }0 l/ yRule based system for power quality disturbance classification incorporating S-transform features.pdf ; N3 z: h" o& [* U, O: P+ Z. w) @+ F( j0 G/ E
Short duration disturbance classifying based on S-transform maximum similarity.pdf